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Posted to commits@tvm.apache.org by tq...@apache.org on 2022/05/14 21:43:02 UTC
[tvm-site] branch asf-site updated: deploying docs (apache/tvm@87366b56ed25456c2d1984183e9fa28e6958f93e)
This is an automated email from the ASF dual-hosted git repository.
tqchen pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/tvm-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 215f9eb73 deploying docs (apache/tvm@87366b56ed25456c2d1984183e9fa28e6958f93e)
215f9eb73 is described below
commit 215f9eb739d11435841e45bc570f6fc67027e5b9
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Sat May 14 21:42:57 2022 +0000
deploying docs (apache/tvm@87366b56ed25456c2d1984183e9fa28e6958f93e)
---
.../how_to/compile_models/from_mxnet.rst.txt | 2 +-
.../how_to/compile_models/from_oneflow.rst.txt | 2 +-
.../how_to/compile_models/from_paddle.rst.txt | 2 +-
.../how_to/compile_models/from_pytorch.rst.txt | 2 +-
.../how_to/compile_models/from_tensorflow.rst.txt | 5 +
.../compile_models/sg_execution_times.rst.txt | 22 +-
.../deploy_models/deploy_model_on_android.rst.txt | 2 +-
.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 4 +-
.../how_to/deploy_models/deploy_quantized.rst.txt | 2 +-
.../deploy_models/deploy_ssd_gluoncv.rst.txt | 4 +-
.../deploy_models/sg_execution_times.rst.txt | 18 +-
.../extend_tvm/bring_your_own_datatypes.rst.txt | 4 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 10 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 16 +-
.../tune_conv2d_layer_cuda.rst.txt | 2047 ++++++++------------
.../tune_network_cuda.rst.txt | 2 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_sparse_x86.rst.txt | 128 +-
.../tune_with_autotvm/sg_execution_times.rst.txt | 12 +-
.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 34 +-
.../work_with_microtvm/micro_autotune.rst.txt | 16 +-
.../work_with_microtvm/sg_execution_times.rst.txt | 12 +-
.../work_with_relay/sg_execution_times.rst.txt | 8 +-
.../work_with_schedules/sg_execution_times.rst.txt | 18 +-
.../how_to/work_with_schedules/tensorize.rst.txt | 2 +-
.../tutorials/autotvm/sg_execution_times.rst.txt | 6 +-
.../frontend/deploy_classification.rst.txt | 2 +-
.../tutorials/frontend/deploy_detection.rst.txt | 2 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 6 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
.../topic/vta/tutorials/sg_execution_times.rst.txt | 6 +-
.../tutorial/auto_scheduler_matmul_x86.rst.txt | 6 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 56 +-
.../tutorial/cross_compilation_and_rpc.rst.txt | 2 +-
docs/_sources/tutorial/intro_topi.rst.txt | 2 +-
docs/_sources/tutorial/sg_execution_times.rst.txt | 26 +-
.../tutorial/tensor_expr_get_started.rst.txt | 40 +-
docs/commit_hash | 2 +-
docs/how_to/compile_models/from_mxnet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 77 +-
docs/how_to/compile_models/from_paddle.html | 2 +-
docs/how_to/compile_models/from_pytorch.html | 6 +-
docs/how_to/compile_models/from_tensorflow.html | 1 +
docs/how_to/compile_models/sg_execution_times.html | 22 +-
.../deploy_models/deploy_model_on_android.html | 2 +-
.../deploy_object_detection_pytorch.html | 42 +-
docs/how_to/deploy_models/deploy_prequantized.html | 6 +-
.../deploy_models/deploy_prequantized_tflite.html | 4 +-
docs/how_to/deploy_models/deploy_quantized.html | 2 +-
docs/how_to/deploy_models/deploy_ssd_gluoncv.html | 37 +-
docs/how_to/deploy_models/sg_execution_times.html | 18 +-
.../extend_tvm/bring_your_own_datatypes.html | 4 +-
docs/how_to/extend_tvm/sg_execution_times.html | 10 +-
docs/how_to/extend_tvm/use_pass_instrument.html | 16 +-
docs/how_to/optimize_operators/opt_conv_cuda.html | 2 +-
.../optimize_operators/opt_conv_tensorcore.html | 2 +-
docs/how_to/optimize_operators/opt_gemm.html | 16 +-
.../optimize_operators/sg_execution_times.html | 8 +-
.../sg_execution_times.html | 14 +-
.../tune_conv2d_layer_cuda.html | 2046 ++++++++-----------
.../tune_with_autoscheduler/tune_network_cuda.html | 2 +-
.../tune_with_autoscheduler/tune_network_x86.html | 4 +-
.../tune_with_autoscheduler/tune_sparse_x86.html | 128 +-
.../tune_with_autotvm/sg_execution_times.html | 12 +-
.../how_to/tune_with_autotvm/tune_conv2d_cuda.html | 34 +-
docs/how_to/work_with_microtvm/micro_autotune.html | 16 +-
.../work_with_microtvm/sg_execution_times.html | 12 +-
.../how_to/work_with_relay/sg_execution_times.html | 8 +-
.../work_with_schedules/sg_execution_times.html | 18 +-
docs/how_to/work_with_schedules/tensorize.html | 2 +-
docs/reference/api/python/auto_scheduler.html | 4 +-
docs/reference/api/python/relay/frontend.html | 30 +-
.../api/typedoc/classes/bytestreamreader.html | 12 +-
.../api/typedoc/classes/cachedcallstack.html | 34 +-
docs/reference/api/typedoc/classes/dldatatype.html | 12 +-
docs/reference/api/typedoc/classes/dldevice.html | 10 +-
.../reference/api/typedoc/classes/environment.html | 12 +-
docs/reference/api/typedoc/classes/ffilibrary.html | 20 +-
.../api/typedoc/classes/graphexecutor.html | 16 +-
docs/reference/api/typedoc/classes/instance.html | 40 +-
docs/reference/api/typedoc/classes/memory.html | 34 +-
docs/reference/api/typedoc/classes/module.html | 10 +-
docs/reference/api/typedoc/classes/ndarray.html | 22 +-
.../api/typedoc/classes/packedfunccell.html | 6 +-
docs/reference/api/typedoc/classes/rpcserver.html | 14 +-
docs/reference/api/typedoc/classes/scalar.html | 6 +-
.../api/typedoc/classes/webgpucontext.html | 12 +-
docs/reference/api/typedoc/enums/argtypecode.html | 30 +-
.../api/typedoc/enums/aynccallbackcode.html | 4 +-
.../api/typedoc/enums/dldatatypecode.html | 8 +-
.../api/typedoc/enums/rpcserverstate.html | 12 +-
docs/reference/api/typedoc/enums/sizeof.html | 18 +-
docs/reference/api/typedoc/index.html | 112 +-
.../api/typedoc/interfaces/disposable.html | 2 +-
.../api/typedoc/interfaces/functioninfo.html | 6 +-
.../api/typedoc/interfaces/libraryprovider.html | 4 +-
docs/searchindex.js | 2 +-
.../vta/tutorials/autotvm/sg_execution_times.html | 6 +-
.../tutorials/frontend/deploy_classification.html | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 2 +-
.../vta/tutorials/frontend/sg_execution_times.html | 6 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 6 +-
docs/tutorial/autotvm_relay_x86.html | 258 +--
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 26 +-
docs/tutorial/tensor_expr_get_started.html | 40 +-
116 files changed, 2636 insertions(+), 3387 deletions(-)
diff --git a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
index aa049e236..d23b14910 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -98,7 +98,7 @@ In this section, we download a pretrained imagenet model and classify an image.
.. code-block:: none
- Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipd7643013-d33d-4930-a2aa-67882061c63c from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+ Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip4ad05ada-6bea-47f3-aae9-1f4952075ec5 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index 120f80af7..e07930d3b 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -100,7 +100,7 @@ Load a pretrained OneFlow model and save model
.. code-block:: none
Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-
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diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 8a249cf6d..d8d495690 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -201,7 +201,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 5.810 seconds)
+ **Total running time of the script:** ( 1 minutes 6.278 seconds)
.. _sphx_glr_download_how_to_compile_models_from_paddle.py:
diff --git a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
index d16bbb190..20f0b4b6e 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -79,7 +79,7 @@ Load a pretrained PyTorch model
.. code-block:: none
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
-
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diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index 43d9b260b..b6885fe73 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -370,6 +370,11 @@ Run the corresponding model on tensorflow
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 3.467 seconds)
+
+
.. _sphx_glr_download_how_to_compile_models_from_tensorflow.py:
diff --git a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
index f10ff2717..4077a80b6 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,15 +5,15 @@
Computation times
=================
-**05:10.367** total execution time for **how_to_compile_models** files:
+**05:19.355** total execution time for **how_to_compile_models** files:
-- **01:05.810**: :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)
-- **00:58.921**: :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``)
-- **00:56.177**: :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)
-- **00:29.766**: :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)
-- **00:23.933**: :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)
-- **00:21.373**: :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)
-- **00:21.071**: :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``)
-- **00:18.689**: :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)
-- **00:12.136**: :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)
-- **00:02.490**: :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)
+- **01:06.278**: :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)
+- **01:03.467**: :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``)
+- **00:56.575**: :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)
+- **00:30.581**: :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)
+- **00:23.906**: :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)
+- **00:22.204**: :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)
+- **00:21.040**: :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``)
+- **00:19.082**: :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)
+- **00:13.449**: :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)
+- **00:02.772**: :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
index 4c53190d0..835a45710 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -393,7 +393,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 15.7871 15.7779 15.9140 15.6716 0.0815
+ 16.0293 15.9640 16.8562 15.7507 0.3046
diff --git a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
index 743831a67..9a5c1c23d 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -108,7 +108,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
.. code-block:: none
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-
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+
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s]
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/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:3878: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
for i in range(dim)
/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/anchor_utils.py:127: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
@@ -253,7 +253,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 2.154 seconds)
+ **Total running time of the script:** ( 3 minutes 7.455 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_object_detection_pytorch.py:
diff --git a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
index fdd014305..29668deaf 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -187,7 +187,7 @@ training. Other models require a full post training calibration.
.. code-block:: none
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
-
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100%|##########| 13.6M/13.6M [00:00<00:00, 164MB/s]
+
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100%|##########| 13.6M/13.6M [00:00<00:00, 165MB/s]
@@ -344,7 +344,7 @@ Here we give an example of how to measure performance of TVM compiled models.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 90.3634 90.2245 91.4453 90.0330 0.3148
+ 90.3401 90.2460 91.1020 90.0886 0.2389
@@ -384,7 +384,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 4.555 seconds)
+ **Total running time of the script:** ( 1 minutes 5.222 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_prequantized.py:
diff --git a/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt b/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
index 2c9c703b4..2a64629aa 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
@@ -351,7 +351,7 @@ Here we give an example of how to measure performance of TVM compiled models.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 120.7187 120.6253 125.4335 119.5197 0.8144
+ 120.6762 120.7001 121.6338 119.9347 0.3490
@@ -385,7 +385,7 @@ Here we give an example of how to measure performance of TVM compiled models.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 49.892 seconds)
+ **Total running time of the script:** ( 1 minutes 56.249 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_prequantized_tflite.py:
diff --git a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
index 369ed0c07..d662b72ac 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -221,7 +221,7 @@ We create a Relay VM to build and execute the model.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 16.256 seconds)
+ **Total running time of the script:** ( 1 minutes 11.775 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_quantized.py:
diff --git a/docs/_sources/how_to/deploy_models/deploy_ssd_gluoncv.rst.txt b/docs/_sources/how_to/deploy_models/deploy_ssd_gluoncv.rst.txt
index ffd8461ae..9eb565f8b 100644
--- a/docs/_sources/how_to/deploy_models/deploy_ssd_gluoncv.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_ssd_gluoncv.rst.txt
@@ -137,7 +137,7 @@ Convert and compile model for CPU.
data: None
input_sym_arg_type = in_param.infer_type()[0]
Downloading /workspace/.mxnet/models/ssd_512_resnet50_v1_voc-9c8b225a.zip from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/ssd_512_resnet50_v1_voc-9c8b225a.zip...
-
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@@ -202,7 +202,7 @@ Display result
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 20.885 seconds)
+ **Total running time of the script:** ( 2 minutes 22.122 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_ssd_gluoncv.py:
diff --git a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
index 6d7c8251c..2ab9b102a 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,13 +5,13 @@
Computation times
=================
-**10:23.772** total execution time for **how_to_deploy_models** files:
+**10:32.820** total execution time for **how_to_deploy_models** files:
-- **03:02.154**: :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``)
-- **02:20.885**: :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
-- **01:49.892**: :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
-- **01:16.256**: :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``)
-- **01:04.555**: :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)
-- **00:28.358**: :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)
-- **00:21.478**: :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
-- **00:00.194**: :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)
+- **03:07.455**: :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``)
+- **02:22.122**: :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``)
+- **01:56.249**: :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
+- **01:11.775**: :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``)
+- **01:05.222**: :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)
+- **00:28.027**: :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)
+- **00:21.772**: :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
+- **00:00.197**: :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)
diff --git a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
index 5719360e3..e4c54932d 100644
--- a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
@@ -423,7 +423,7 @@ First let us define two helper functions to get the mobilenet model and a cat im
.. code-block:: none
- Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip2e8e3183-9c29-46d9-9acc-2c58e5ac668d from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+ Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipbda49bce-9548-454a-ac59-218e23af65af from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
@@ -525,7 +525,7 @@ Now, to actually convert the entire network, we have written `a pass in Relay <h
.. code-block:: none
- Check failed: (lower) is false: FloatImm lowering function for target llvm type 150 not found
+ Check failed: (lower) is false: Intrinsic lowering function for target llvm, intrinsic name tir.sqrt, type 150 not found
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index db20bef75..e15276f71 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,9 +5,9 @@
Computation times
=================
-**00:38.039** total execution time for **how_to_extend_tvm** files:
+**00:38.256** total execution time for **how_to_extend_tvm** files:
-- **00:34.500**: :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``)
-- **00:02.274**: :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)
-- **00:01.061**: :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)
-- **00:00.204**: :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``)
+- **00:34.731**: :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``)
+- **00:02.255**: :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)
+- **00:01.068**: :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)
+- **00:00.202**: :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``)
diff --git a/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt b/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt
index 038d5f764..ad545aa33 100644
--- a/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt
@@ -199,10 +199,10 @@ profile the execution time of each passes.
.. code-block:: none
Printing results of timing profile...
- InferType: 6101us [6101us] (45.48%; 45.48%)
- FoldScaleAxis: 7314us [2us] (54.52%; 54.52%)
- FoldConstant: 7312us [1512us] (54.50%; 99.97%)
- InferType: 5800us [5800us] (43.24%; 79.33%)
+ InferType: 5919us [5919us] (45.26%; 45.26%)
+ FoldScaleAxis: 7158us [2us] (54.74%; 54.74%)
+ FoldConstant: 7156us [1470us] (54.72%; 99.97%)
+ InferType: 5687us [5687us] (43.48%; 79.46%)
@@ -239,10 +239,10 @@ Refer to following sections and :py:func:`tvm.instrument.pass_instrument` for th
.. code-block:: none
Printing results of timing profile...
- InferType: 5921us [5921us] (45.00%; 45.00%)
- FoldScaleAxis: 7238us [2us] (55.00%; 55.00%)
- FoldConstant: 7236us [1511us] (54.99%; 99.97%)
- InferType: 5725us [5725us] (43.51%; 79.12%)
+ InferType: 5748us [5748us] (44.73%; 44.73%)
+ FoldScaleAxis: 7103us [2us] (55.27%; 55.27%)
+ FoldConstant: 7101us [1487us] (55.26%; 99.97%)
+ InferType: 5614us [5614us] (43.69%; 79.06%)
diff --git a/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt b/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
index 9cd32efbb..03f090f03 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
@@ -295,7 +295,7 @@ latency of convolution.
.. code-block:: none
- Convolution: 35.734867 ms
+ Convolution: 54.165517 ms
diff --git a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
index 9176bcc53..7a3c9692e 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -628,7 +628,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 7.639965 ms
+ conv2d with tensor core: 10.024157 ms
diff --git a/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt b/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
index 74a0d428f..f19eec297 100644
--- a/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
@@ -118,8 +118,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
.. code-block:: none
- Numpy running time: 0.018188
- Baseline: 3.188528
+ Numpy running time: 0.018868
+ Baseline: 3.189337
@@ -210,7 +210,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.293275
+ Opt1: 0.299016
@@ -309,7 +309,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.333560
+ Opt2: 0.335369
@@ -401,7 +401,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.117179
+ Opt3: 0.118347
@@ -520,7 +520,7 @@ flattening.
.. code-block:: none
- Opt4: 0.110652
+ Opt4: 0.110999
@@ -638,7 +638,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.111246
+ Opt5: 0.111177
@@ -759,7 +759,7 @@ Futhermore, we can also utilize multi-core processors to do the thread-level par
.. code-block:: none
- Opt6: 0.144770
+ Opt6: 0.144785
diff --git a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
index 725853f4b..8599ee1b5 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**00:34.209** total execution time for **how_to_optimize_operators** files:
+**00:34.518** total execution time for **how_to_optimize_operators** files:
-- **00:31.541**: :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)
-- **00:01.451**: :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
-- **00:01.217**: :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)
+- **00:31.729**: :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)
+- **00:01.512**: :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
+- **00:01.277**: :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt
index dd0553b8d..f0c83b00f 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt
@@ -5,11 +5,11 @@
Computation times
=================
-**05:30.449** total execution time for **how_to_tune_with_autoscheduler** files:
-
-- **02:56.543**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``)
-- **01:17.854**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)
-- **00:40.224**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)
-- **00:18.885**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)
-- **00:08.632**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)
-- **00:08.310**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)
+**04:57.505** total execution time for **how_to_tune_with_autoscheduler** files:
+
+- **02:21.544**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``)
+- **01:18.969**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)
+- **00:40.353**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)
+- **00:19.488**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)
+- **00:08.631**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)
+- **00:08.521**: :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index 17de341ab..241c3218e 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
@@ -222,666 +222,409 @@ cooperative fetching, unrolling and operator fusion.
compute: Buffer(compute_2: Pointer(float32), float32, [25088], [])}
buffer_map = {data_1: data, kernel_1: kernel, bias_1: bias, compute_1: compute}
preflattened_buffer_map = {data_1: data_3: Buffer(data_2, float32, [1, 512, 7, 7], []), kernel_1: kernel_3: Buffer(kernel_2, float32, [512, 512, 3, 3], []), bias_1: bias_3: Buffer(bias_2, float32, [1, 512, 1, 1], []), compute_1: compute_3: Buffer(compute_2, float32, [1, 512, 7, 7], [])} {
- attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 16;
+ attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 32;
allocate(conv2d_nchw: Pointer(local float32), float32, [14]), storage_scope = local;
- allocate(pad_temp.shared: Pointer(shared float32), float32, [4032]), storage_scope = shared;
- allocate(kernel.shared: Pointer(shared float32), float32, [6144]), storage_scope = shared;
- attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
- conv2d_nchw_1: Buffer(conv2d_nchw, float32, [4], [], scope="local", align=8)[0] = 0f32
- conv2d_nchw_1[2] = 0f32
- conv2d_nchw_1[4] = 0f32
- conv2d_nchw_1[6] = 0f32
- conv2d_nchw_1[8] = 0f32
- conv2d_nchw_1[10] = 0f32
- conv2d_nchw_1[12] = 0f32
+ allocate(pad_temp.shared: Pointer(shared float32), float32, [504]), storage_scope = shared;
+ allocate(kernel.shared: Pointer(shared float32), float32, [384]), storage_scope = shared;
+ attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
+ conv2d_nchw_1: Buffer(conv2d_nchw, float32, [14], [], scope="local", align=32)[0] = 0f32
conv2d_nchw_1[1] = 0f32
+ conv2d_nchw_1[2] = 0f32
conv2d_nchw_1[3] = 0f32
+ conv2d_nchw_1[4] = 0f32
conv2d_nchw_1[5] = 0f32
+ conv2d_nchw_1[6] = 0f32
conv2d_nchw_1[7] = 0f32
+ conv2d_nchw_1[8] = 0f32
conv2d_nchw_1[9] = 0f32
+ conv2d_nchw_1[10] = 0f32
conv2d_nchw_1[11] = 0f32
+ conv2d_nchw_1[12] = 0f32
conv2d_nchw_1[13] = 0f32
- for (rc.outer.outer: int32, 0, 8) {
+ for (rc.outer.outer: int32, 0, 64) {
for (ry.outer.outer: int32, 0, 3) {
- let cse_var_2: int32 = (rc.outer.outer*3136)
- let cse_var_1: int32 = (ry.outer.outer*7)
+ let cse_var_4: int32 = (rc.outer.outer*392)
+ let cse_var_3: int32 = (ry.outer.outer*7)
+ let cse_var_2: int32 = (rc.outer.outer*72)
+ let cse_var_1: int32 = (ry.outer.outer*3)
{
- attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1: Buffer(pad_temp.shared, float32, [4032], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 112)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 112), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 224)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 224), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 336)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 336), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 448)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 448), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 560)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 560), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 560), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 560), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 672)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 672), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 672), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 672), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 784)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 784), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 784), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 784), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 896)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 896), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 896), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 896), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1008)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 776)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1120)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1120), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1120), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1120), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1232)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1232), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1232), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1232), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1344)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1344), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1344), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1344), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1456)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1456), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1456), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1456), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1568)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1568), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1568), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1568), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1680)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1680), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1680), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1680), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1792)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1792), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1792), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1792), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1904)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1904), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1904), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1904), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2016)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 1560)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2128)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2128), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2128), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2128), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2240)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2240), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2240), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2240), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2352)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2352), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2352), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2352), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2464)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2464), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2464), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2464), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2576)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2576), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2576), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2576), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2688)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2688), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2688), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2688), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2800)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2800), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2800), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2800), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2912)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2912), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2912), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2912), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3024)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 2344)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3136)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3136), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3136), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3136), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3248)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3248), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3248), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3248), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3360)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3360), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3360), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3360), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3472)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3472), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3472), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3472), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3584)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3584), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3584), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3584), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3696)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3696), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3696), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3696), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3808)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3808), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3808), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3808), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3920)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3920), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3920), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3920), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
- kernel.shared_1: Buffer(kernel.shared, float32, [6144], [], scope="shared")[(threadIdx.x_2*48)] = kernel[(((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3))]
- kernel.shared_1[((threadIdx.x_2*48) + 1)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 1)]
- kernel.shared_1[((threadIdx.x_2*48) + 2)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 2)]
- kernel.shared_1[((threadIdx.x_2*48) + 3)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 9)]
- kernel.shared_1[((threadIdx.x_2*48) + 4)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 10)]
- kernel.shared_1[((threadIdx.x_2*48) + 5)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 11)]
- kernel.shared_1[((threadIdx.x_2*48) + 6)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 18)]
- kernel.shared_1[((threadIdx.x_2*48) + 7)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 19)]
- kernel.shared_1[((threadIdx.x_2*48) + 8)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 20)]
- kernel.shared_1[((threadIdx.x_2*48) + 9)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 27)]
- kernel.shared_1[((threadIdx.x_2*48) + 10)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 28)]
- kernel.shared_1[((threadIdx.x_2*48) + 11)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 29)]
- kernel.shared_1[((threadIdx.x_2*48) + 12)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 36)]
- kernel.shared_1[((threadIdx.x_2*48) + 13)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 37)]
- kernel.shared_1[((threadIdx.x_2*48) + 14)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 38)]
- kernel.shared_1[((threadIdx.x_2*48) + 15)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 45)]
- kernel.shared_1[((threadIdx.x_2*48) + 16)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 46)]
- kernel.shared_1[((threadIdx.x_2*48) + 17)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 47)]
- kernel.shared_1[((threadIdx.x_2*48) + 18)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 54)]
- kernel.shared_1[((threadIdx.x_2*48) + 19)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 55)]
- kernel.shared_1[((threadIdx.x_2*48) + 20)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 56)]
- kernel.shared_1[((threadIdx.x_2*48) + 21)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 63)]
- kernel.shared_1[((threadIdx.x_2*48) + 22)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 64)]
- kernel.shared_1[((threadIdx.x_2*48) + 23)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 65)]
- kernel.shared_1[((threadIdx.x_2*48) + 24)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 72)]
- kernel.shared_1[((threadIdx.x_2*48) + 25)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 73)]
- kernel.shared_1[((threadIdx.x_2*48) + 26)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 74)]
- kernel.shared_1[((threadIdx.x_2*48) + 27)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 81)]
- kernel.shared_1[((threadIdx.x_2*48) + 28)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 82)]
- kernel.shared_1[((threadIdx.x_2*48) + 29)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 83)]
- kernel.shared_1[((threadIdx.x_2*48) + 30)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 90)]
- kernel.shared_1[((threadIdx.x_2*48) + 31)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 91)]
- kernel.shared_1[((threadIdx.x_2*48) + 32)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 92)]
- kernel.shared_1[((threadIdx.x_2*48) + 33)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 99)]
- kernel.shared_1[((threadIdx.x_2*48) + 34)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 100)]
- kernel.shared_1[((threadIdx.x_2*48) + 35)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 101)]
- kernel.shared_1[((threadIdx.x_2*48) + 36)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 108)]
- kernel.shared_1[((threadIdx.x_2*48) + 37)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 109)]
- kernel.shared_1[((threadIdx.x_2*48) + 38)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 110)]
- kernel.shared_1[((threadIdx.x_2*48) + 39)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 117)]
- kernel.shared_1[((threadIdx.x_2*48) + 40)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 118)]
- kernel.shared_1[((threadIdx.x_2*48) + 41)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 119)]
- kernel.shared_1[((threadIdx.x_2*48) + 42)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 126)]
- kernel.shared_1[((threadIdx.x_2*48) + 43)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 127)]
- kernel.shared_1[((threadIdx.x_2*48) + 44)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 128)]
- kernel.shared_1[((threadIdx.x_2*48) + 45)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 135)]
- kernel.shared_1[((threadIdx.x_2*48) + 46)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 136)]
- kernel.shared_1[((threadIdx.x_2*48) + 47)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 137)]
- }
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- if @tir.likely((threadIdx.x_2 < 16), dtype=bool) {
- kernel.shared_1[((threadIdx.x_2*48) + 5376)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129024)]
- kernel.shared_1[((threadIdx.x_2*48) + 5377)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129025)]
- kernel.shared_1[((threadIdx.x_2*48) + 5378)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129026)]
- kernel.shared_1[((threadIdx.x_2*48) + 5379)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129033)]
- kernel.shared_1[((threadIdx.x_2*48) + 5380)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129034)]
- kernel.shared_1[((threadIdx.x_2*48) + 5381)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129035)]
- kernel.shared_1[((threadIdx.x_2*48) + 5382)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129042)]
- kernel.shared_1[((threadIdx.x_2*48) + 5383)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129043)]
- kernel.shared_1[((threadIdx.x_2*48) + 5384)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129044)]
- kernel.shared_1[((threadIdx.x_2*48) + 5385)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129051)]
- kernel.shared_1[((threadIdx.x_2*48) + 5386)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129052)]
- kernel.shared_1[((threadIdx.x_2*48) + 5387)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129053)]
- kernel.shared_1[((threadIdx.x_2*48) + 5388)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129060)]
- kernel.shared_1[((threadIdx.x_2*48) + 5389)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129061)]
- kernel.shared_1[((threadIdx.x_2*48) + 5390)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129062)]
- kernel.shared_1[((threadIdx.x_2*48) + 5391)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129069)]
- kernel.shared_1[((threadIdx.x_2*48) + 5392)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129070)]
- kernel.shared_1[((threadIdx.x_2*48) + 5393)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129071)]
- kernel.shared_1[((threadIdx.x_2*48) + 5394)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129078)]
- kernel.shared_1[((threadIdx.x_2*48) + 5395)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129079)]
- kernel.shared_1[((threadIdx.x_2*48) + 5396)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129080)]
- kernel.shared_1[((threadIdx.x_2*48) + 5397)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129087)]
- kernel.shared_1[((threadIdx.x_2*48) + 5398)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129088)]
- kernel.shared_1[((threadIdx.x_2*48) + 5399)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129089)]
- kernel.shared_1[((threadIdx.x_2*48) + 5400)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129096)]
- kernel.shared_1[((threadIdx.x_2*48) + 5401)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129097)]
- kernel.shared_1[((threadIdx.x_2*48) + 5402)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129098)]
- kernel.shared_1[((threadIdx.x_2*48) + 5403)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129105)]
- kernel.shared_1[((threadIdx.x_2*48) + 5404)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129106)]
- kernel.shared_1[((threadIdx.x_2*48) + 5405)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129107)]
- kernel.shared_1[((threadIdx.x_2*48) + 5406)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129114)]
- kernel.shared_1[((threadIdx.x_2*48) + 5407)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129115)]
- kernel.shared_1[((threadIdx.x_2*48) + 5408)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129116)]
- kernel.shared_1[((threadIdx.x_2*48) + 5409)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129123)]
- kernel.shared_1[((threadIdx.x_2*48) + 5410)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129124)]
- kernel.shared_1[((threadIdx.x_2*48) + 5411)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129125)]
- kernel.shared_1[((threadIdx.x_2*48) + 5412)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129132)]
- kernel.shared_1[((threadIdx.x_2*48) + 5413)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129133)]
- kernel.shared_1[((threadIdx.x_2*48) + 5414)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129134)]
- kernel.shared_1[((threadIdx.x_2*48) + 5415)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129141)]
- kernel.shared_1[((threadIdx.x_2*48) + 5416)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129142)]
- kernel.shared_1[((threadIdx.x_2*48) + 5417)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129143)]
- kernel.shared_1[((threadIdx.x_2*48) + 5418)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129150)]
- kernel.shared_1[((threadIdx.x_2*48) + 5419)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129151)]
- kernel.shared_1[((threadIdx.x_2*48) + 5420)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129152)]
- kernel.shared_1[((threadIdx.x_2*48) + 5421)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129159)]
- kernel.shared_1[((threadIdx.x_2*48) + 5422)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129160)]
- kernel.shared_1[((threadIdx.x_2*48) + 5423)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129161)]
- }
- for (rc.outer.inner: int32, 0, 2) {
- for (rx.outer.inner: int32, 0, 3) {
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7))]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 9)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 18)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 27)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 36)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 45)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 54)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7))]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 9)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 18)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 27)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 36)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 45)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 54)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 72)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 90)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 99)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 108)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 117)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 72)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 90)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 99)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 108)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 117)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 135)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 144)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 153)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 171)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 180)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 135)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 144)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 153)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 171)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 180)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 198)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 207)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 216)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 225)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 234)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 198)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 207)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 216)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 225)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 234)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 252)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 261)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 270)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 279)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 288)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 297)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 306)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 252)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 261)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 270)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 279)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 288)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 297)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 306)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 315)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 333)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 342)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 351)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 360)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 369)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 315)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 333)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 342)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 351)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 360)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 369)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 378)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 387)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 396)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 414)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 423)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 432)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 378)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 387)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 396)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 414)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 423)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 432)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 441)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 450)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 459)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 468)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 477)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 495)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 441)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 450)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 459)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 468)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 477)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 495)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 504)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 513)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 522)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 531)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 540)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 549)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 558)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 504)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 513)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 522)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 531)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 540)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 549)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 558)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 576)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 585)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 594)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 603)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 612)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 621)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 576)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 585)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 594)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 603)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 612)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 621)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 630)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 639)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 648)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 657)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 666)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 675)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 684)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 630)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 639)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 648)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 657)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 666)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 675)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 684)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 693)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 702)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 711)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 720)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 729)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 738)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 747)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 693)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 702)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 711)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 720)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 729)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 738)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 747)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 756)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 765)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 774)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 783)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 792)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 801)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 810)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 756)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 765)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 774)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 783)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 792)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 801)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 810)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 819)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 828)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 837)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 846)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 855)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 864)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 873)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 819)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 828)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 837)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 846)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 855)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 864)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 873)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 882)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 891)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 900)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 909)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 918)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 927)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 936)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 882)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 891)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 900)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 909)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 918)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 927)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 936)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 945)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 954)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 963)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 972)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 981)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 990)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 999)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 945)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 954)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 963)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 972)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 981)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 990)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 999)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1008)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1017)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1026)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1035)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1044)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1053)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1062)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1008)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1017)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1026)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1035)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1044)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1053)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1062)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1071)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1080)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1089)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1098)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1107)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1116)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1125)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1071)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1080)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1089)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1098)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1107)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1116)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1125)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1134)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1143)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1152)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1161)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1179)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1188)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1134)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1143)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1152)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1161)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1179)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1188)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1197)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1206)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1215)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1224)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1233)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1242)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1197)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1206)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1215)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1224)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1233)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1242)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1260)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1269)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1278)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1287)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1296)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1305)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1314)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1260)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1269)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1278)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1287)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1296)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1305)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1314)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1323)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1341)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1350)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1359)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1368)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1377)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1323)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1341)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1350)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1359)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1368)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1377)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1386)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1395)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1404)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1422)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1431)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1440)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1386)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1395)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1404)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1422)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1431)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1440)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1449)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1458)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1467)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1476)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1485)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1503)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1449)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1458)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1467)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1476)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1485)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1503)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1512)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1521)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1530)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1539)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1548)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1557)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1566)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1512)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1521)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1530)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1539)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1548)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1557)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1566)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1584)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1593)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1602)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1611)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1620)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1629)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1584)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1593)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1602)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1611)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1620)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1629)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1638)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1647)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1656)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1665)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1674)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1683)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1692)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1638)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1647)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1656)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1665)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1674)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1683)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1692)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1701)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1710)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1719)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1728)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1737)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1746)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1755)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1701)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1710)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1719)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1728)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1737)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1746)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1755)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1764)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1773)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1782)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1791)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1800)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1809)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1818)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1764)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1773)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1782)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1791)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1800)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1809)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1818)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1827)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1836)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1845)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1854)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1863)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1872)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1881)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1827)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1836)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1845)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1854)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1863)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1872)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1881)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1890)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1899)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1908)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1917)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1926)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1935)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1944)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1890)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1899)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1908)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1917)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1926)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1935)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1944)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1953)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1962)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1971)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1980)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1989)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1998)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 2007)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1953)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1962)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1971)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1980)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1989)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1998)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 2007)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- }
+ attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1: Buffer(pad_temp.shared, float32, [504], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && ((floordiv(threadIdx.x_1, 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_4 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_3) + floormod(threadIdx.x_1, 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 56)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 56), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 112)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 112), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 168)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 168), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 168), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 168), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 224)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 224), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 280)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 280), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 280), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 280), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 336)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 336), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 392)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 392), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 392), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 392), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 448)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 448), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1: Buffer(kernel.shared, float32, [384], [], scope="shared")[threadIdx.x_2] = kernel[((((((blockIdx.x*73728) + (floordiv(threadIdx.x_2, 24)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 56)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 7), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 56), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 14), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 112), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 168)] = kernel[(((((((blockIdx.x*73728) + (floordiv(floordiv(threadIdx.x_2, 8), 3)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3)) + 32256)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 28), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 224), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 280)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 35), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 280), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ if @tir.likely((threadIdx.x_2 < 48), dtype=bool) {
+ kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[(((((((blockIdx.x*73728) + (floordiv(floordiv(threadIdx.x_2, 8), 3)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3)) + 64512)]
}
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(floormod(threadIdx.x, 7)*9)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 8)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[(floormod(threadIdx.x, 7)*9)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 8)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 63)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 71)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 63)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 71)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 126)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 134)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 126)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 134)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 189)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 197)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 189)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 197)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 252)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 260)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 252)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 260)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 315)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 323)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 315)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 323)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 378)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 386)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 378)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 386)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 441)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 449)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 441)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 449)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
}
}
}
for (i1.inner: int32, 0, 2) {
- compute[((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7))] = max((conv2d_nchw_1[i1.inner] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 7)] = max((conv2d_nchw_1[(i1.inner + 2)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 14)] = max((conv2d_nchw_1[(i1.inner + 4)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 21)] = max((conv2d_nchw_1[(i1.inner + 6)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 28)] = max((conv2d_nchw_1[(i1.inner + 8)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 35)] = max((conv2d_nchw_1[(i1.inner + 10)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 42)] = max((conv2d_nchw_1[(i1.inner + 12)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
+ for (i3.inner: int32, 0, 7) {
+ compute[(((((blockIdx.x*784) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + (floormod(threadIdx.x, 7)*7)) + i3.inner)] = max((conv2d_nchw_1[((i1.inner*7) + i3.inner)] + bias[(((blockIdx.x*16) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
+ }
}
}
}
@@ -934,7 +677,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.335 ms
+ Execution time of this operator: 0.237 ms
@@ -978,36 +721,36 @@ They can be used for debugging and learning the behavior of the auto-scheduler.
conv2d_nchw_nn_o_o_i, conv2d_nchw_nn_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_i, factor=1)
conv2d_nchw_nn_o_o_o_i, conv2d_nchw_nn_o_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_o_i, factor=1)
conv2d_nchw_nn_o_o_o_o, conv2d_nchw_nn_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_o_o_i, factor=1)
- conv2d_nchw_ff_o_i, conv2d_nchw_ff_i = s[conv2d_nchw].split(conv2d_nchw_ff, factor=2)
- conv2d_nchw_ff_o_o_i, conv2d_nchw_ff_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_i, factor=1)
- conv2d_nchw_ff_o_o_o_i, conv2d_nchw_ff_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_i, factor=16)
+ conv2d_nchw_ff_o_i, conv2d_nchw_ff_i = s[conv2d_nchw].split(conv2d_nchw_ff, factor=1)
+ conv2d_nchw_ff_o_o_i, conv2d_nchw_ff_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_i, factor=2)
+ conv2d_nchw_ff_o_o_o_i, conv2d_nchw_ff_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_i, factor=8)
conv2d_nchw_ff_o_o_o_o, conv2d_nchw_ff_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_o_i, factor=1)
conv2d_nchw_yy_o_i, conv2d_nchw_yy_i = s[conv2d_nchw].split(conv2d_nchw_yy, factor=1)
conv2d_nchw_yy_o_o_i, conv2d_nchw_yy_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_i, factor=1)
- conv2d_nchw_yy_o_o_o_i, conv2d_nchw_yy_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_i, factor=1)
- conv2d_nchw_yy_o_o_o_o, conv2d_nchw_yy_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_o_i, factor=7)
+ conv2d_nchw_yy_o_o_o_i, conv2d_nchw_yy_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_i, factor=7)
+ conv2d_nchw_yy_o_o_o_o, conv2d_nchw_yy_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_o_i, factor=1)
conv2d_nchw_xx_o_i, conv2d_nchw_xx_i = s[conv2d_nchw].split(conv2d_nchw_xx, factor=1)
- conv2d_nchw_xx_o_o_i, conv2d_nchw_xx_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_i, factor=1)
- conv2d_nchw_xx_o_o_o_i, conv2d_nchw_xx_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_i, factor=7)
+ conv2d_nchw_xx_o_o_i, conv2d_nchw_xx_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_i, factor=7)
+ conv2d_nchw_xx_o_o_o_i, conv2d_nchw_xx_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_i, factor=1)
conv2d_nchw_xx_o_o_o_o, conv2d_nchw_xx_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_o_i, factor=1)
- conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=32)
- conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=2)
+ conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=1)
+ conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=8)
conv2d_nchw_ry_o_i, conv2d_nchw_ry_i = s[conv2d_nchw].split(conv2d_nchw_ry, factor=1)
conv2d_nchw_ry_o_o, conv2d_nchw_ry_o_i = s[conv2d_nchw].split(conv2d_nchw_ry_o_i, factor=1)
- conv2d_nchw_rx_o_i, conv2d_nchw_rx_i = s[conv2d_nchw].split(conv2d_nchw_rx, factor=1)
- conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=3)
+ conv2d_nchw_rx_o_i, conv2d_nchw_rx_i = s[conv2d_nchw].split(conv2d_nchw_rx, factor=3)
+ conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=1)
s[conv2d_nchw].reorder(conv2d_nchw_nn_o_o_o_o, conv2d_nchw_ff_o_o_o_o, conv2d_nchw_yy_o_o_o_o, conv2d_nchw_xx_o_o_o_o, conv2d_nchw_nn_o_o_o_i, conv2d_nchw_ff_o_o_o_i, conv2d_nchw_yy_o_o_o_i, conv2d_nchw_xx_o_o_o_i, conv2d_nchw_nn_o_o_i, conv2d_nchw_ff_o_o_i, conv2d_nchw_yy_o_o_i, conv2d_nchw_xx_o_o_i, conv2d_nchw_rc_o_o, conv2d_nchw_ry_o_o, conv2d_nchw_rx_o_o, conv2d_nchw_rc_o_i, conv2d_nchw_ry_o_i, conv2d_nchw_rx_o_i, conv2d_nchw_nn_o_i, conv2d_nchw_ff_o_i, conv2d_nchw_yy_o_i, conv2 [...]
compute_i0_o_i, compute_i0_i = s[compute].split(compute_i0, factor=1)
compute_i0_o_o_i, compute_i0_o_i = s[compute].split(compute_i0_o_i, factor=1)
compute_i0_o_o_o, compute_i0_o_o_i = s[compute].split(compute_i0_o_o_i, factor=1)
compute_i1_o_i, compute_i1_i = s[compute].split(compute_i1, factor=2)
- compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=16)
+ compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=8)
compute_i1_o_o_o, compute_i1_o_o_i = s[compute].split(compute_i1_o_o_i, factor=1)
compute_i2_o_i, compute_i2_i = s[compute].split(compute_i2, factor=1)
- compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=1)
- compute_i2_o_o_o, compute_i2_o_o_i = s[compute].split(compute_i2_o_o_i, factor=7)
- compute_i3_o_i, compute_i3_i = s[compute].split(compute_i3, factor=1)
- compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=7)
+ compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=7)
+ compute_i2_o_o_o, compute_i2_o_o_i = s[compute].split(compute_i2_o_o_i, factor=1)
+ compute_i3_o_i, compute_i3_i = s[compute].split(compute_i3, factor=7)
+ compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=1)
compute_i3_o_o_o, compute_i3_o_o_i = s[compute].split(compute_i3_o_o_i, factor=1)
s[compute].reorder(compute_i0_o_o_o, compute_i1_o_o_o, compute_i2_o_o_o, compute_i3_o_o_o, compute_i0_o_o_i, compute_i1_o_o_i, compute_i2_o_o_i, compute_i3_o_o_i, compute_i0_o_i, compute_i1_o_i, compute_i2_o_i, compute_i3_o_i, compute_i0_i, compute_i1_i, compute_i2_i, compute_i3_i)
s[conv2d_nchw].compute_at(s[compute], compute_i3_o_i)
@@ -1025,16 +768,16 @@ They can be used for debugging and learning the behavior of the auto-scheduler.
compute_i0_o_i_i1_o_i_fused_i2_o_i_fused_i3_o_i_fused = s[compute].fuse(compute_i0_o_i, compute_i1_o_i, compute_i2_o_i, compute_i3_o_i)
s[compute].bind(compute_i0_o_i_i1_o_i_fused_i2_o_i_fused_i3_o_i_fused, te.thread_axis("threadIdx.x"))
kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused = s[kernel_shared].fuse(kernel_shared_ax0, kernel_shared_ax1, kernel_shared_ax2, kernel_shared_ax3)
- kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=48)
+ kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=1)
s[kernel_shared].vectorize(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i)
- kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=112)
+ kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=56)
s[kernel_shared].bind(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i, te.thread_axis("threadIdx.x"))
pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused = s[pad_temp_shared].fuse(pad_temp_shared_ax0, pad_temp_shared_ax1, pad_temp_shared_ax2, pad_temp_shared_ax3)
pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=1)
s[pad_temp_shared].vectorize(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i)
- pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=112)
+ pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=56)
s[pad_temp_shared].bind(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i, te.thread_axis("threadIdx.x"))
- s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "auto_unroll_max_step", 512)
+ s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "auto_unroll_max_step", 1024)
s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "unroll_explicit", True)
CUDA source code:
@@ -1052,624 +795,388 @@ They can be used for debugging and learning the behavior of the auto-scheduler.
#define int64_t long long
#define uint64_t unsigned long long
#endif
- extern "C" __global__ void __launch_bounds__(112) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
+ extern "C" __global__ void __launch_bounds__(56) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
float conv2d_nchw[14];
- __shared__ float pad_temp_shared[4032];
- __shared__ float kernel_shared[6144];
+ __shared__ float pad_temp_shared[504];
+ __shared__ float kernel_shared[384];
conv2d_nchw[0] = 0.000000e+00f;
- conv2d_nchw[2] = 0.000000e+00f;
- conv2d_nchw[4] = 0.000000e+00f;
- conv2d_nchw[6] = 0.000000e+00f;
- conv2d_nchw[8] = 0.000000e+00f;
- conv2d_nchw[10] = 0.000000e+00f;
- conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[1] = 0.000000e+00f;
+ conv2d_nchw[2] = 0.000000e+00f;
conv2d_nchw[3] = 0.000000e+00f;
+ conv2d_nchw[4] = 0.000000e+00f;
conv2d_nchw[5] = 0.000000e+00f;
+ conv2d_nchw[6] = 0.000000e+00f;
conv2d_nchw[7] = 0.000000e+00f;
+ conv2d_nchw[8] = 0.000000e+00f;
conv2d_nchw[9] = 0.000000e+00f;
+ conv2d_nchw[10] = 0.000000e+00f;
conv2d_nchw[11] = 0.000000e+00f;
+ conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[13] = 0.000000e+00f;
- for (int rc_outer_outer = 0; rc_outer_outer < 8; ++rc_outer_outer) {
+ for (int rc_outer_outer = 0; rc_outer_outer < 64; ++rc_outer_outer) {
for (int ry_outer_outer = 0; ry_outer_outer < 3; ++ry_outer_outer) {
__syncthreads();
- pad_temp_shared[((int)threadIdx.x)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 112) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 224) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 336) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 448) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 560)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 560) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 672)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 672) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 784)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 784) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 896)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 896) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1008)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 776)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1120)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1120) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1232)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1232) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1344)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1344) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1456)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1456) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1568)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1568) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1680)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1680) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1792)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1792) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1904)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1904) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2016)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2128)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2128) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2240)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2240) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2352)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2352) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2464)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2464) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2576)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2576) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2688)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2688) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2800)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2800) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2912)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2912) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3024)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3136)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3136) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3248)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3248) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3360)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3360) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3472)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3472) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3584)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3584) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3696)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3696) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3808)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3808) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3920)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3920) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- kernel_shared[(((int)threadIdx.x) * 48)] = kernel[(((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3))];
- kernel_shared[((((int)threadIdx.x) * 48) + 1)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 1)];
- kernel_shared[((((int)threadIdx.x) * 48) + 2)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 2)];
- kernel_shared[((((int)threadIdx.x) * 48) + 3)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 9)];
- kernel_shared[((((int)threadIdx.x) * 48) + 4)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 10)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 11)];
- kernel_shared[((((int)threadIdx.x) * 48) + 6)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 18)];
- kernel_shared[((((int)threadIdx.x) * 48) + 7)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 19)];
- kernel_shared[((((int)threadIdx.x) * 48) + 8)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 20)];
- kernel_shared[((((int)threadIdx.x) * 48) + 9)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 27)];
- kernel_shared[((((int)threadIdx.x) * 48) + 10)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 28)];
- kernel_shared[((((int)threadIdx.x) * 48) + 11)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 29)];
- kernel_shared[((((int)threadIdx.x) * 48) + 12)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 36)];
- kernel_shared[((((int)threadIdx.x) * 48) + 13)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 37)];
- kernel_shared[((((int)threadIdx.x) * 48) + 14)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 38)];
- kernel_shared[((((int)threadIdx.x) * 48) + 15)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 45)];
- kernel_shared[((((int)threadIdx.x) * 48) + 16)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 46)];
- kernel_shared[((((int)threadIdx.x) * 48) + 17)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 47)];
- kernel_shared[((((int)threadIdx.x) * 48) + 18)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 54)];
- kernel_shared[((((int)threadIdx.x) * 48) + 19)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 55)];
- kernel_shared[((((int)threadIdx.x) * 48) + 20)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 56)];
- kernel_shared[((((int)threadIdx.x) * 48) + 21)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 63)];
- kernel_shared[((((int)threadIdx.x) * 48) + 22)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 64)];
- kernel_shared[((((int)threadIdx.x) * 48) + 23)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 65)];
- kernel_shared[((((int)threadIdx.x) * 48) + 24)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 72)];
- kernel_shared[((((int)threadIdx.x) * 48) + 25)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 73)];
- kernel_shared[((((int)threadIdx.x) * 48) + 26)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 74)];
- kernel_shared[((((int)threadIdx.x) * 48) + 27)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 81)];
- kernel_shared[((((int)threadIdx.x) * 48) + 28)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 82)];
- kernel_shared[((((int)threadIdx.x) * 48) + 29)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 83)];
- kernel_shared[((((int)threadIdx.x) * 48) + 30)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 90)];
- kernel_shared[((((int)threadIdx.x) * 48) + 31)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 91)];
- kernel_shared[((((int)threadIdx.x) * 48) + 32)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 92)];
- kernel_shared[((((int)threadIdx.x) * 48) + 33)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 99)];
- kernel_shared[((((int)threadIdx.x) * 48) + 34)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 100)];
- kernel_shared[((((int)threadIdx.x) * 48) + 35)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 101)];
- kernel_shared[((((int)threadIdx.x) * 48) + 36)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 108)];
- kernel_shared[((((int)threadIdx.x) * 48) + 37)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 109)];
- kernel_shared[((((int)threadIdx.x) * 48) + 38)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 110)];
- kernel_shared[((((int)threadIdx.x) * 48) + 39)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 117)];
- kernel_shared[((((int)threadIdx.x) * 48) + 40)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 118)];
- kernel_shared[((((int)threadIdx.x) * 48) + 41)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 119)];
- kernel_shared[((((int)threadIdx.x) * 48) + 42)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 126)];
- kernel_shared[((((int)threadIdx.x) * 48) + 43)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 127)];
- kernel_shared[((((int)threadIdx.x) * 48) + 44)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 128)];
- kernel_shared[((((int)threadIdx.x) * 48) + 45)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 135)];
- kernel_shared[((((int)threadIdx.x) * 48) + 46)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 136)];
- kernel_shared[((((int)threadIdx.x) * 48) + 47)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 137)];
- if (((int)threadIdx.x) < 16) {
- kernel_shared[((((int)threadIdx.x) * 48) + 5376)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129024)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5377)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129025)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5378)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129026)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5379)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129033)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5380)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129034)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5381)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129035)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5382)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129042)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5383)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129043)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5384)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129044)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5385)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129051)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5386)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129052)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5387)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129053)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5388)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129060)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5389)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129061)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5390)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129062)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5391)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129069)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5392)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129070)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5393)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129071)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5394)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129078)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5395)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129079)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5396)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129080)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5397)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129087)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5398)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129088)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5399)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129089)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5400)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129096)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5401)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129097)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5402)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129098)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5403)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129105)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5404)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129106)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5405)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129107)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5406)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129114)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5407)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129115)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5408)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129116)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5409)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129123)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5410)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129124)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5411)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129125)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5412)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129132)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5413)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129133)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5414)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129134)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5415)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129141)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5416)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129142)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5417)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129143)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5418)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129150)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5419)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129151)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5420)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129152)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5421)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129159)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5422)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129160)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5423)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129161)];
+ pad_temp_shared[((int)threadIdx.x)] = (((((1 <= ((((int)threadIdx.x) / 9) + ry_outer_outer)) && (((((int)threadIdx.x) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 56)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 56) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 112) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 168)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 168) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 224) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 280)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 280) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 336) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 392)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 392) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 448) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ kernel_shared[((int)threadIdx.x)] = kernel[((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 56)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 56) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 8) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 112)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 112) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 16) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 168)] = kernel[(((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3)) + 32256)];
+ kernel_shared[(((int)threadIdx.x) + 224)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 224) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 8) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 280)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 280) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 16) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ if (((int)threadIdx.x) < 48) {
+ kernel_shared[(((int)threadIdx.x) + 336)] = kernel[(((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3)) + 64512)];
}
__syncthreads();
- for (int rc_outer_inner = 0; rc_outer_inner < 2; ++rc_outer_inner) {
- for (int rx_outer_inner = 0; rx_outer_inner < 3; ++rx_outer_inner) {
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7))] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 9)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 18)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 27)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 36)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 45)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 54)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7))] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 9)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 18)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 27)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 36)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 45)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 54)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 72)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 90)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 99)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 108)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 117)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 72)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 90)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 99)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 108)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 117)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 135)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 144)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 153)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 171)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 180)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 135)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 144)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 153)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 171)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 180)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 198)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 207)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 216)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 225)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 234)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 198)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 207)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 216)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 225)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 234)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 252)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 261)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 270)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 279)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 288)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 297)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 306)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 252)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 261)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 270)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 279)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 288)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 297)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 306)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 315)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 333)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 342)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 351)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 360)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 369)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 315)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 333)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 342)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 351)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 360)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 369)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 378)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 387)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 396)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 414)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 423)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 432)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 378)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 387)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 396)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 414)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 423)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 432)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 441)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 450)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 459)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 468)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 477)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 495)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 441)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 450)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 459)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 468)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 477)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 495)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 504)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 513)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 522)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 531)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 540)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 549)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 558)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 504)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 513)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 522)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 531)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 540)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 549)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 558)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 576)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 585)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 594)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 603)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 612)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 621)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 576)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 585)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 594)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 603)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 612)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 621)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 630)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 639)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 648)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 657)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 666)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 675)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 684)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 630)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 639)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 648)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 657)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 666)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 675)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 684)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 693)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 702)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 711)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 720)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 729)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 738)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 747)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 693)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 702)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 711)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 720)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 729)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 738)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 747)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 756)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 765)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 774)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 783)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 792)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 801)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 810)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 756)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 765)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 774)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 783)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 792)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 801)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 810)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 819)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 828)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 837)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 846)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 855)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 864)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 873)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 819)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 828)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 837)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 846)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 855)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 864)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 873)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 882)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 891)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 900)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 909)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 918)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 927)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 936)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 882)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 891)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 900)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 909)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 918)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 927)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 936)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 945)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 954)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 963)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 972)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 981)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 990)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 999)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 945)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 954)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 963)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 972)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 981)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 990)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 999)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1008)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1017)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1026)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1035)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1044)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1053)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1062)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1008)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1017)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1026)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1035)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1044)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1053)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1062)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1071)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1080)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1089)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1098)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1107)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1116)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1125)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1071)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1080)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1089)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1098)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1107)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1116)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1125)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1134)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1143)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1152)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1161)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1179)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1188)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1134)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1143)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1152)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1161)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1179)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1188)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1197)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1206)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1215)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1224)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1233)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1242)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1197)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1206)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1215)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1224)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1233)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1242)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1260)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1269)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1278)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1287)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1296)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1305)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1314)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1260)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1269)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1278)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1287)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1296)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1305)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1314)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1323)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1341)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1350)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1359)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1368)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1377)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1323)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1341)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1350)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1359)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1368)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1377)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1386)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1395)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1404)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1422)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1431)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1440)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1386)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1395)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1404)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1422)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1431)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1440)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1449)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1458)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1467)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1476)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1485)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1503)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1449)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1458)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1467)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1476)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1485)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1503)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1512)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1521)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1530)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1539)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1548)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1557)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1566)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1512)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1521)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1530)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1539)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1548)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1557)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1566)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1584)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1593)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1602)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1611)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1620)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1629)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1584)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1593)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1602)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1611)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1620)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1629)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1638)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1647)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1656)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1665)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1674)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1683)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1692)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1638)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1647)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1656)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1665)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1674)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1683)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1692)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1701)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1710)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1719)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1728)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1737)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1746)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1755)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1701)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1710)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1719)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1728)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1737)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1746)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1755)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1764)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1773)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1782)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1791)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1800)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1809)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1818)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1764)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1773)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1782)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1791)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1800)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1809)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1818)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1827)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1836)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1845)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1854)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1863)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1872)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1881)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1827)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1836)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1845)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1854)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1863)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1872)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1881)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1890)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1899)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1908)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1917)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1926)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1935)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1944)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1890)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1899)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1908)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1917)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1926)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1935)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1944)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1953)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1962)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1971)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1980)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1989)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1998)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 2007)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1953)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1962)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1971)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1980)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1989)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1998)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 2007)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- }
- }
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((int)threadIdx.x) % 7) * 9)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 8)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((int)threadIdx.x) % 7) * 9)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 8)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 63)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 71)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 63)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 71)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 126)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 134)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 126)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 134)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 189)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 197)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 189)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 197)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 252)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 260)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 252)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 260)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 315)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 323)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 315)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 323)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 378)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 386)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 378)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 386)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 441)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 449)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 441)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 449)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
}
}
for (int i1_inner = 0; i1_inner < 2; ++i1_inner) {
- compute[((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7))] = max((conv2d_nchw[i1_inner] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 7)] = max((conv2d_nchw[(i1_inner + 2)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 14)] = max((conv2d_nchw[(i1_inner + 4)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 21)] = max((conv2d_nchw[(i1_inner + 6)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 28)] = max((conv2d_nchw[(i1_inner + 8)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 35)] = max((conv2d_nchw[(i1_inner + 10)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 42)] = max((conv2d_nchw[(i1_inner + 12)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
+ for (int i3_inner = 0; i3_inner < 7; ++i3_inner) {
+ compute[(((((((int)blockIdx.x) * 784) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + ((((int)threadIdx.x) % 7) * 7)) + i3_inner)] = max((conv2d_nchw[((i1_inner * 7) + i3_inner)] + bias[(((((int)blockIdx.x) * 16) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
+ }
}
}
@@ -1721,14 +1228,14 @@ In the example below we resume the status and do more 5 trials.
/usr/local/lib/python3.7/dist-packages/xgboost/training.py:17: UserWarning: Old style callback is deprecated. See: https://xgboost.readthedocs.io/en/latest/python/callbacks.html
warnings.warn(f'Old style callback is deprecated. See: {link}', UserWarning)
Get devices for measurement successfully!
- .T
+
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 56.543 seconds)
+ **Total running time of the script:** ( 2 minutes 21.544 seconds)
.. _sphx_glr_download_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py:
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
index 12e1a0019..68b5914c1 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -614,7 +614,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 9.7232 9.7300 9.7633 9.6762 0.0359
+ 9.6927 9.6963 9.7222 9.6595 0.0257
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
index 0cab77394..b2179e93d 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 752.2653 753.4387 753.7569 749.6003 1.8889
+ 763.6349 761.5681 767.8654 761.4712 2.9917
@@ -658,7 +658,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 17.854 seconds)
+ **Total running time of the script:** ( 1 minutes 18.969 seconds)
.. _sphx_glr_download_how_to_tune_with_autoscheduler_tune_network_x86.py:
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_sparse_x86.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_sparse_x86.rst.txt
index 304096067..6f57e84b8 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_sparse_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_sparse_x86.rst.txt
@@ -362,28 +362,118 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
placeholder_4: Buffer(placeholder_14: Pointer(float32), float32, [65536], []),
compute: Buffer(compute_2: Pointer(float32), float32, [65536], [])}
buffer_map = {placeholder_5: placeholder, placeholder_6: placeholder_1, placeholder_7: placeholder_2, placeholder_8: placeholder_3, placeholder_9: placeholder_4, compute_1: compute}
- preflattened_buffer_map = {placeholder_8: placeholder_15: Buffer(placeholder_13, int32, [33], []), placeholder_7: placeholder_16: Buffer(placeholder_12, int32, [4916], []), placeholder_9: placeholder_17: Buffer(placeholder_14, float32, [128, 512], []), placeholder_5: placeholder_18: Buffer(placeholder_10, float32, [128, 256], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_6: placeholder_19: Buffer(placeholder_11, float32, [4916, 16, 1], [])} {
- for (i0.outer.i1.outer.fused: int32, 0, 64) "parallel" {
- allocate(compute_4: Pointer(global float32), float32, [1024]), storage_scope = global {
- for (i.outer.inner: int32, 0, 32) {
- for (i.inner.init: int32, 0, 2) {
- for (j.init: int32, 0, 16) {
- compute_5: Buffer(compute_4, float32, [1024], [])[(((i.outer.inner*32) + (i.inner.init*16)) + j.init)] = 0f32
- }
- }
- for (elem_idx: int32, 0, let cse_var_1: int32 = floormod(i0.outer.i1.outer.fused, 32) in (placeholder_3[(cse_var_1 + 1)] - placeholder_3[cse_var_1])) {
- for (i.inner: int32, 0, 2) {
- for (j: int32, 0, 16) {
- let cse_var_3: int32 = floormod(i0.outer.i1.outer.fused, 32)
- let cse_var_2: int32 = (((i.outer.inner*32) + (i.inner*16)) + j)
- compute_5[cse_var_2] = (compute_5[cse_var_2] + (placeholder_1[(((placeholder_3[cse_var_3]*16) + (elem_idx*16)) + j)]*max(placeholder[((((floordiv(i0.outer.i1.outer.fused, 32)*16384) + (i.outer.inner*512)) + (i.inner*256)) + placeholder_2[(placeholder_3[cse_var_3] + elem_idx)])], 0f32)))
+ preflattened_buffer_map = {compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_8: placeholder_15: Buffer(placeholder_13, int32, [33], []), placeholder_9: placeholder_16: Buffer(placeholder_14, float32, [128, 512], []), placeholder_5: placeholder_17: Buffer(placeholder_10, float32, [128, 256], []), placeholder_7: placeholder_18: Buffer(placeholder_12, int32, [4916], []), placeholder_6: placeholder_19: Buffer(placeholder_11, float32, [4916, 16, 1], [])} {
+ for (i0.outer.i1.outer.fused: int32, 0, 32) "parallel" {
+ allocate(compute_4: Pointer(global float32), float32, [2048]), storage_scope = global {
+ for (i.outer.inner: int32, 0, 64) {
+ let cse_var_1: int32 = (i.outer.inner*32)
+ {
+ compute_5: Buffer(compute_4, float32, [2048], [])[cse_var_1] = 0f32
+ compute_5[(cse_var_1 + 1)] = 0f32
+ compute_5[(cse_var_1 + 2)] = 0f32
+ compute_5[(cse_var_1 + 3)] = 0f32
+ compute_5[(cse_var_1 + 4)] = 0f32
+ compute_5[(cse_var_1 + 5)] = 0f32
+ compute_5[(cse_var_1 + 6)] = 0f32
+ compute_5[(cse_var_1 + 7)] = 0f32
+ compute_5[(cse_var_1 + 8)] = 0f32
+ compute_5[(cse_var_1 + 9)] = 0f32
+ compute_5[(cse_var_1 + 10)] = 0f32
+ compute_5[(cse_var_1 + 11)] = 0f32
+ compute_5[(cse_var_1 + 12)] = 0f32
+ compute_5[(cse_var_1 + 13)] = 0f32
+ compute_5[(cse_var_1 + 14)] = 0f32
+ compute_5[(cse_var_1 + 15)] = 0f32
+ compute_5[(cse_var_1 + 16)] = 0f32
+ compute_5[(cse_var_1 + 17)] = 0f32
+ compute_5[(cse_var_1 + 18)] = 0f32
+ compute_5[(cse_var_1 + 19)] = 0f32
+ compute_5[(cse_var_1 + 20)] = 0f32
+ compute_5[(cse_var_1 + 21)] = 0f32
+ compute_5[(cse_var_1 + 22)] = 0f32
+ compute_5[(cse_var_1 + 23)] = 0f32
+ compute_5[(cse_var_1 + 24)] = 0f32
+ compute_5[(cse_var_1 + 25)] = 0f32
+ compute_5[(cse_var_1 + 26)] = 0f32
+ compute_5[(cse_var_1 + 27)] = 0f32
+ compute_5[(cse_var_1 + 28)] = 0f32
+ compute_5[(cse_var_1 + 29)] = 0f32
+ compute_5[(cse_var_1 + 30)] = 0f32
+ compute_5[(cse_var_1 + 31)] = 0f32
+ for (elem_idx: int32, 0, (placeholder_3[(i0.outer.i1.outer.fused + 1)] - placeholder_3[i0.outer.i1.outer.fused])) {
+ let cse_var_34: int32 = (cse_var_1 + 10)
+ let cse_var_33: int32 = (cse_var_1 + 11)
+ let cse_var_32: int32 = (cse_var_1 + 12)
+ let cse_var_31: int32 = (cse_var_1 + 13)
+ let cse_var_30: int32 = (cse_var_1 + 14)
+ let cse_var_29: int32 = (cse_var_1 + 15)
+ let cse_var_28: int32 = (cse_var_1 + 16)
+ let cse_var_27: int32 = (cse_var_1 + 17)
+ let cse_var_26: int32 = (cse_var_1 + 18)
+ let cse_var_25: int32 = (cse_var_1 + 19)
+ let cse_var_24: int32 = (cse_var_1 + 2)
+ let cse_var_23: int32 = (cse_var_1 + 20)
+ let cse_var_22: int32 = (cse_var_1 + 21)
+ let cse_var_21: int32 = (cse_var_1 + 22)
+ let cse_var_20: int32 = (cse_var_1 + 23)
+ let cse_var_19: int32 = (cse_var_1 + 1)
+ let cse_var_18: int32 = (i.outer.inner*512)
+ let cse_var_17: int32 = (elem_idx*16)
+ let cse_var_16: int32 = (cse_var_1 + 9)
+ let cse_var_15: int32 = (cse_var_1 + 8)
+ let cse_var_14: int32 = (cse_var_1 + 7)
+ let cse_var_13: int32 = (cse_var_1 + 6)
+ let cse_var_12: int32 = (cse_var_1 + 5)
+ let cse_var_11: int32 = (cse_var_1 + 24)
+ let cse_var_10: int32 = (cse_var_1 + 31)
+ let cse_var_9: int32 = (cse_var_1 + 30)
+ let cse_var_8: int32 = (cse_var_1 + 3)
+ let cse_var_7: int32 = (cse_var_1 + 29)
+ let cse_var_6: int32 = (cse_var_1 + 28)
+ let cse_var_5: int32 = (cse_var_1 + 27)
+ let cse_var_4: int32 = (cse_var_1 + 26)
+ let cse_var_3: int32 = (cse_var_1 + 25)
+ let cse_var_2: int32 = (cse_var_1 + 4)
+ {
+ compute_5[cse_var_1] = (compute_5[cse_var_1] + (placeholder_1[((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_19] = (compute_5[cse_var_19] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 1)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_24] = (compute_5[cse_var_24] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 2)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 3)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_2] = (compute_5[cse_var_2] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 4)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 5)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 6)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 7)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 8)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 9)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_34] = (compute_5[cse_var_34] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 10)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_33] = (compute_5[cse_var_33] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 11)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_32] = (compute_5[cse_var_32] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 12)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_31] = (compute_5[cse_var_31] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 13)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_30] = (compute_5[cse_var_30] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 14)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_29] = (compute_5[cse_var_29] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 15)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_28] = (compute_5[cse_var_28] + (placeholder_1[((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_27] = (compute_5[cse_var_27] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 1)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_26] = (compute_5[cse_var_26] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 2)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_25] = (compute_5[cse_var_25] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 3)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_23] = (compute_5[cse_var_23] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 4)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_22] = (compute_5[cse_var_22] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 5)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_21] = (compute_5[cse_var_21] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 6)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_20] = (compute_5[cse_var_20] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 7)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 8)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 9)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 10)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 11)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 12)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 13)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 14)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 15)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
}
}
}
}
- for (i0.inner: int32, 0, 64) {
- let cse_var_4: int32 = (((floordiv(i0.outer.i1.outer.fused, 32)*32768) + (i0.inner*512)) + (floormod(i0.outer.i1.outer.fused, 32)*16))
- compute[ramp(cse_var_4, 1, 16)] = max((compute_5[ramp((i0.inner*16), 1, 16)] + placeholder_4[ramp(cse_var_4, 1, 16)]), broadcast(0f32, 16))
+ for (i0.inner: int32, 0, 128) {
+ let cse_var_35: int32 = ((i0.inner*512) + (i0.outer.i1.outer.fused*16))
+ compute[ramp(cse_var_35, 1, 16)] = max((compute_5[ramp((i0.inner*16), 1, 16)] + placeholder_4[ramp(cse_var_35, 1, 16)]), broadcast(0f32, 16))
}
}
}
@@ -437,7 +527,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 2.156 ms
+ Execution time of this operator: 3.531 ms
diff --git a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
index 6197b8575..f5dd72449 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:43.995** total execution time for **how_to_tune_with_autotvm** files:
+**00:45.239** total execution time for **how_to_tune_with_autotvm** files:
-- **00:43.145**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
-- **00:00.219**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
-- **00:00.215**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
-- **00:00.211**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
-- **00:00.206**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
+- **00:44.354**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
+- **00:00.231**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
+- **00:00.221**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
+- **00:00.218**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``)
+- **00:00.216**: :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index 24b253733..f7ec2fbc1 100644
--- a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
@@ -859,8 +859,8 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 4, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2885496
- No: 6 GFLOPS: 95.40/95.40 result: MeasureResult(costs=(0.0024265185,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.585728645324707, timestamp=1652526966.1559315) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3754080
- No: 7 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 6 GFLOPS: 109.87/109.87 result: MeasureResult(costs=(0.0021071236875,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.822526216506958, timestamp=1652561495.3043504) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3754080
+ No: 7 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -983,7 +983,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 256, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6225319
- No: 8 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 8 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1106,7 +1106,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,943546
- No: 9 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 9 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1229,7 +1229,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 16, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2868708
- No: 10 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 10 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 142, in build
res = future.result()
File "/usr/lib/python3.7/concurrent/futures/_base.py", line 435, in result
@@ -1247,7 +1247,7 @@ for this template
TimeoutError
[('tile_f', [-1, 32, 2, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4691833
- No: 11 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 11 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1370,7 +1370,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 2, 64]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1042124
- No: 12 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 12 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1493,7 +1493,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10013405
- No: 13 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 13 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1616,7 +1616,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 32]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6732082
- No: 14 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 14 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1739,7 +1739,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 4, 32]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7536735
- No: 15 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 15 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1862,7 +1862,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,482121
- No: 16 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 16 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1985,7 +1985,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2824525
- No: 17 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 17 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2108,7 +2108,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 64, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4559286
- No: 18 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 18 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2231,7 +2231,7 @@ for this template
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 32, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 512]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9677544
- No: 19 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+ No: 19 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 721, in __call__
yield remote, remote.load_module(os.path.split(build_result.filename)[1])
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 685, in run_through_rpc
@@ -2319,7 +2319,7 @@ for this template
15: _PyEval_EvalFrameDefault
14: 0x0000000000537c30
13: _PyObject_FastCallKeywords
- 12: 0x00007f4eda07efa2
+ 12: 0x00007f457bc49fa2
11: _ctypes_callproc
10: ffi_call
9: ffi_call_unix64
@@ -2384,7 +2384,7 @@ for this template
21: _PyFunction_FastCallKeywords
20: _PyEval_EvalFrameDefault
19: _PyFunction_FastCall [('tile_f', [-1, 8, 2, 16]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6390073
- No: 20 GFLOPS: 144.28/144.28 result: MeasureResult(costs=(0.0016045200099999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4150333404541016, timestamp=1652526991.9730077) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
+ No: 20 GFLOPS: 144.14/144.14 result: MeasureResult(costs=(0.0016061130199999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4648540019989014, timestamp=1652561521.8656564) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
@@ -2437,7 +2437,7 @@ and measure running time.
Best config:
[('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
- Time cost of this operator: 0.001995
+ Time cost of this operator: 0.001964
diff --git a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
index ea3b491e0..2dd66e006 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
@@ -292,10 +292,10 @@ Timing the untuned program
########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs
--------- --- -------- ------- ----- ------ -------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 314.4 98.745 (1, 2, 10, 10, 3) 2 1
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.076 0.966 (1, 6, 10, 10) 1 1
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.921 0.289 (1, 1, 10, 10, 3) 1 1
- Total_time - 318.397 - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 311.5 98.743 (1, 2, 10, 10, 3) 2 1
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.064 0.971 (1, 6, 10, 10) 1 1
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.901 0.286 (1, 1, 10, 10, 3) 1 1
+ Total_time - 315.465 - - - -
@@ -357,10 +357,10 @@ Timing the tuned program
########## Build with Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs
--------- --- -------- ------- ----- ------ -------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 79.6 96.755 (1, 6, 10, 10, 1) 2 1
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.738 2.112 (1, 6, 10, 10) 1 1
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.931 1.132 (1, 1, 10, 10, 3) 1 1
- Total_time - 82.269 - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 78.2 96.734 (1, 6, 10, 10, 1) 2 1
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.74 2.152 (1, 6, 10, 10) 1 1
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.901 1.114 (1, 1, 10, 10, 3) 1 1
+ Total_time - 80.841 - - - -
diff --git a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
index a033dbd49..5006758e3 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:45.958** total execution time for **how_to_work_with_microtvm** files:
+**00:47.023** total execution time for **how_to_work_with_microtvm** files:
-- **00:41.745**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)
-- **00:03.629**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)
-- **00:00.197**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_tvmc.py` (``micro_tvmc.py``)
-- **00:00.194**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``)
-- **00:00.193**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_reference_vm.py` (``micro_reference_vm.py``)
+- **00:42.749**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)
+- **00:03.668**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)
+- **00:00.203**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``)
+- **00:00.203**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_tvmc.py` (``micro_tvmc.py``)
+- **00:00.200**: :ref:`sphx_glr_how_to_work_with_microtvm_micro_reference_vm.py` (``micro_reference_vm.py``)
diff --git a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
index 2537580b5..e831cc1ff 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**00:08.566** total execution time for **how_to_work_with_relay** files:
+**00:06.139** total execution time for **how_to_work_with_relay** files:
-- **00:06.686**: :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)
-- **00:01.665**: :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)
-- **00:00.215**: :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)
+- **00:04.011**: :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)
+- **00:01.905**: :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)
+- **00:00.224**: :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)
diff --git a/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt b/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
index 08cfc34ab..8173d7287 100644
--- a/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
@@ -5,13 +5,13 @@
Computation times
=================
-**00:05.642** total execution time for **how_to_work_with_schedules** files:
+**00:05.778** total execution time for **how_to_work_with_schedules** files:
-- **00:02.086**: :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)
-- **00:01.093**: :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)
-- **00:00.723**: :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)
-- **00:00.721**: :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)
-- **00:00.310**: :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)
-- **00:00.242**: :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)
-- **00:00.237**: :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``)
-- **00:00.231**: :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)
+- **00:02.206**: :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)
+- **00:01.046**: :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)
+- **00:00.754**: :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)
+- **00:00.753**: :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)
+- **00:00.311**: :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)
+- **00:00.252**: :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``)
+- **00:00.233**: :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)
+- **00:00.222**: :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)
diff --git a/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt b/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
index 87a09aa53..f11978f7f 100644
--- a/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
@@ -318,7 +318,7 @@ The importing needs to happen before the tensorized GEMV being executed.
C: Buffer(C_2: Pointer(float32), float32, [524288], [])}
buffer_map = {A_1: A, B_1: B, C_1: C}
preflattened_buffer_map = {A_1: A_3: Buffer(A_2, float32, [1024, 64], []), B_1: B_3: Buffer(B_2, float32, [512, 64], []), C_1: C_3: Buffer(C_2, float32, [1024, 512], [])} {
- attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmpnzc3bgxm/input0.cc'\nsource_filename = \"/tmp/tmpnzc3bgxm/input0.cc\"\ntarget datalayout = \"e-m:e-i64:64-f80:128-n8:16:32:64-S128\"\ntarget triple = \"x86_64-pc-linux-gnu\"\n\n; Function Attrs: noinline nounwind optnone uwtable\ndefine dso_local i32 @gemv_update(float*, float*, float*, i32, i32, i32) #0 {\n %7 = alloca float*, align 8\n %8 = alloca float*, align 8\n %9 = alloca floa [...]
+ attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmpb_mv2n5e/input0.cc'\nsource_filename = \"/tmp/tmpb_mv2n5e/input0.cc\"\ntarget datalayout = \"e-m:e-i64:64-f80:128-n8:16:32:64-S128\"\ntarget triple = \"x86_64-pc-linux-gnu\"\n\n; Function Attrs: noinline nounwind optnone uwtable\ndefine dso_local i32 @gemv_update(float*, float*, float*, i32, i32, i32) #0 {\n %7 = alloca float*, align 8\n %8 = alloca float*, align 8\n %9 = alloca floa [...]
for (i, 0, 1024) {
for (j.outer: int32, 0, 32) {
@tir.call_extern("gemv_update", @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), C_2, ((i*512) + (j.outer*16)), 16, 2, dtype=handle), @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), A_2, (i*64), 64, 1, dtype=handle), @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), B_2, (j.outer*1024), 1024, 1, dtype=handle), 16, 64, 64, dtype=int32)
diff --git a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
index 583e5bdbe..e15b9562b 100644
--- a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:20.590** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:20.915** total execution time for **topic_vta_tutorials_autotvm** files:
-- **00:20.381**: :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``)
-- **00:00.209**: :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``)
+- **00:20.708**: :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``)
+- **00:00.208**: :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``)
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
index 478d30262..666fa75c7 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -265,7 +265,7 @@ The compilation steps are:
DeprecationWarning,
/workspace/vta/tutorials/frontend/deploy_classification.py:213: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
relay_prog, target=tvm.target.Target(target, host=env.target_host), params=params
- resnet18_v1 inference graph built in 21.37s!
+ resnet18_v1 inference graph built in 21.58s!
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index ba3264bdf..6d2a623f9 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -301,7 +301,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:431: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
DeprecationWarning,
- yolov3-tiny inference graph built in 14.90s!
+ yolov3-tiny inference graph built in 14.95s!
diff --git a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
index 6d4f9febf..c3abc08ad 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**01:28.340** total execution time for **topic_vta_tutorials_frontend** files:
+**01:29.037** total execution time for **topic_vta_tutorials_frontend** files:
-- **00:46.776**: :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)
-- **00:41.564**: :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
+- **00:47.207**: :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)
+- **00:41.830**: :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``)
diff --git a/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt
index 9bb1eb695..b8f0d6bbd 100644
--- a/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:03.541** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.611** total execution time for **topic_vta_tutorials_optimize** files:
-- **00:02.1000**: :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
-- **00:00.541**: :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``)
+- **00:03.031**: :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)
+- **00:00.580**: :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``)
diff --git a/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
index ce1be55ae..954c3e6f2 100644
--- a/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
@@ -5,7 +5,7 @@
Computation times
=================
-**00:00.997** total execution time for **topic_vta_tutorials** files:
+**00:01.064** total execution time for **topic_vta_tutorials** files:
-- **00:00.505**: :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
-- **00:00.491**: :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
+- **00:00.539**: :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``)
+- **00:00.524**: :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``)
diff --git a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
index 3799fa104..005ecf87d 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -184,7 +184,7 @@ trials, we can load the best schedule from the log file and apply it.
.. code-block:: none
- *E
+ .T
@@ -306,7 +306,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 94.931 ms
+ Execution time of this operator: 94.314 ms
@@ -417,7 +417,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 16.358 seconds)
+ **Total running time of the script:** ( 1 minutes 0.925 seconds)
.. _sphx_glr_download_tutorial_auto_scheduler_matmul_x86.py:
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index f05151f5b..b77afc505 100644
--- a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
@@ -271,7 +271,7 @@ standard deviation.
.. code-block:: none
- {'mean': 493.7059949399998, 'median': 493.5133528999984, 'std': 0.5870097948846303}
+ {'mean': 491.7521707400738, 'median': 491.2931180497253, 'std': 1.277808508191186}
@@ -485,31 +485,31 @@ the tuning data to.
.. code-block:: none
-
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 17.51/ 17.51 GFLOPS | Progress: (4/20) | 5.48 s
[Task 1/25] Current/Best: 6.13/ 17.51 GFLOPS | Progress: (8/20) | 8.79 s
[Task 1/25] Current/Best: 11.54/ 22.80 GFLOPS | Progress: (12/20) | 11.20 s
[Task 1/25] Current/Best: 16.79/ 22.82 GFLOPS | Progress: (16/20) | 12.87 s
[Task 1/25] Current/Best: 11.64/ 23.92 GFLOPS | Progress: (20/20) | 14.58 s Done.
-
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 12.31/ 13.03 GFLOPS | Progress: (4/20) | 3.67 s
[Task 2/25] Current/Best: 14.10/ 18.41 GFLOPS | Progress: (8/20) | 4.96 s
[Task 2/25] Current/Best: 21.05/ 21.05 GFLOPS | Progress: (12/20) | 6.27 s
[Task 2/25] Current/Best: 13.14/ 21.05 GFLOPS | Progress: (16/20) | 7.52 s
[Task 2/25] Current/Best: 19.57/ 21.05 GFLOPS | Progress: (20/20) | 9.05 s Done.
-
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 1.63/ 10.56 GFLOPS | Progress: (4/20) | 5.77 s
[Task 3/25] Current/Best: 15.59/ 16.88 GFLOPS | Progress: (8/20) | 7.67 s
[Task 3/25] Current/Best: 14.93/ 16.88 GFLOPS | Progress: (12/20) | 9.38 s
[Task 3/25] Current/Best: 7.20/ 23.79 GFLOPS | Progress: (16/20) | 11.27 s
[Task 3/25] Current/Best: 12.42/ 23.79 GFLOPS | Progress: (20/20) | 15.80 s Done.
-
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 9.55/ 20.42 GFLOPS | Progress: (4/20) | 2.29 s
[Task 4/25] Current/Best: 6.86/ 20.42 GFLOPS | Progress: (8/20) | 6.54 s
[Task 4/25] Current/Best: 21.42/ 21.42 GFLOPS | Progress: (12/20) | 11.05 s
[Task 4/25] Current/Best: 16.94/ 21.42 GFLOPS | Progress: (16/20) | 13.23 s
[Task 4/25] Current/Best: 13.05/ 21.42 GFLOPS | Progress: (20/20) | 15.26 s Done.
-
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 9.99/ 10.44 GFLOPS | Progress: (4/20) | 2.51 s
[Task 5/25] Current/Best: 11.69/ 12.82 GFLOPS | Progress: (8/20) | 4.56 s
[Task 5/25] Current/Best: 11.66/ 17.99 GFLOPS | Progress: (12/20) | 7.65 s
[Task 5/25] Current/Best: 11.65/ 22.64 GFLOPS | Progress: (16/20) | 9.10 s
[Task 5/25] Current/Best: 11.97/ 22.64 GFLOPS | Progress: (20/20) | 10.95 s Done.
-
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 12.20/ 20.79 GFLOPS | Progress: (4/20) | 3.89 s
[Task 6/25] Current/Best: 18.95/ 20.79 GFLOPS | Progress: (8/20) | 5.66 s
[Task 6/25] Current/Best: 13.31/ 20.79 GFLOPS | Progress: (12/20) | 7.59 s
[Task 6/25] Current/Best: 19.95/ 20.79 GFLOPS | Progress: (16/20) | 9.87 s
[Task 6/25] Current/Best: 3.74/ 20.79 GFLOPS | Progress: (20/20) | 12.40 s Done.
-
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 11.23/ 12.75 GFLOPS | Progress: (4/20) | 3.53 s
[Task 7/25] Current/Best: 20.30/ 21.19 GFLOPS | Progress: (8/20) | 5.03 s
[Task 7/25] Current/Best: 8.79/ 21.19 GFLOPS | Progress: (12/20) | 7.07 s
[Task 7/25] Current/Best: 12.27/ 21.19 GFLOPS | Progress: (16/20) | 9.10 s
[Task 7/25] Current/Best: 6.33/ 21.90 GFLOPS | Progress: (20/20) | 11.54 s Done.
-
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 10.24/ 14.28 GFLOPS | Progress: (4/20) | 2.85 s
[Task 8/25] Current/Best: 9.86/ 14.28 GFLOPS | Progress: (8/20) | 7.64 s
[Task 8/25] Current/Best: 12.91/ 14.28 GFLOPS | Progress: (12/20) | 13.72 s
[Task 8/25] Current/Best: 18.89/ 18.89 GFLOPS | Progress: (16/20) | 15.80 s
[Task 8/25] Current/Best: 19.86/ 19.86 GFLOPS | Progress: (20/20) | 22.26 s Done.
-
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 14.31/ 15.49 GFLOPS | Progress: (4/20) | 17.25 s
[Task 9/25] Current/Best: 23.54/ 23.54 GFLOPS | Progress: (8/20) | 18.94 s
[Task 9/25] Current/Best: 8.27/ 23.54 GFLOPS | Progress: (12/20) | 21.30 s
[Task 9/25] Current/Best: 17.50/ 23.54 GFLOPS | Progress: (16/20) | 23.83 s
[Task 9/25] Current/Best: 9.07/ 23.54 GFLOPS | Progress: (20/20) | 31.43 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 18.17/ 18.17 GFLOPS | Progress: (4/20) | 2.48 s
[Task 10/25] Current/Best: 15.47/ 18.17 GFLOPS | Progress: (8/20) | 4.04 s
[Task 10/25] Current/Best: 11.90/ 18.95 GFLOPS | Progress: (12/20) | 5.56 s
[Task 10/25] Current/Best: 19.15/ 20.44 GFLOPS | Progress: (16/20) | 6.67 s
[Task 10/25] Current/Best: 8.90/ 20.44 GFLOPS | Progress: (20/20
) | 8.18 s Done.
-
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 12.33/ 18.09 GFLOPS | Progress: (4/20) | 3.22 s
[Task 11/25] Current/Best: 16.91/ 18.09 GFLOPS | Progress: (8/20) | 5.95 s
[Task 11/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (12/20) | 7.99 s
[Task 11/25] Current/Best: 13.36/ 21.19 GFLOPS | Progress: (16/20) | 10.75 s
[Task 11/25] Current/Best: 19.49/ 21.63 GFLOPS | Progress: (20/20) | 12.76 s Done.
-
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 7.79/ 17.92 GFLOPS | Progress: (4/20) | 5.22 s
[Task 12/25] Current/Best: 5.30/ 17.92 GFLOPS | Progress: (8/20) | 8.88 s
[Task 12/25] Current/Best: 18.92/ 18.92 GFLOPS | Progress: (12/20) | 10.87 s
[Task 12/25] Current/Best: 15.33/ 18.92 GFLOPS | Progress: (16/20) | 13.61 s
[Task 12/25] Current/Best: 15.17/ 18.92 GFLOPS | Progress: (20/20) | 15.51 s Done.
-
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 8.73/ 17.30 GFLOPS | Progress: (4/20) | 3.59 s
[Task 13/25] Current/Best: 16.10/ 21.02 GFLOPS | Progress: (8/20) | 5.98 s
[Task 13/25] Current/Best: 19.62/ 21.74 GFLOPS | Progress: (12/20) | 8.82 s
[Task 13/25] Current/Best: 12.30/ 21.74 GFLOPS | Progress: (16/20) | 12.17 s
[Task 13/25] Current/Best: 18.88/ 21.74 GFLOPS | Progress: (20/20) | 14.42 s Done.
-
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 13.62/ 13.62 GFLOPS | Progress: (4/20) | 3.16 s
[Task 14/25] Current/Best: 6.12/ 13.62 GFLOPS | Progress: (8/20) | 5.35 s
[Task 14/25] Current/Best: 21.04/ 21.04 GFLOPS | Progress: (12/20) | 7.88 s
[Task 14/25] Current/Best: 15.30/ 21.04 GFLOPS | Progress: (16/20) | 9.77 s
[Task 14/25] Current/Best: 17.30/ 21.04 GFLOPS | Progress: (20/20) | 11.53 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 17.57/ 17.57 GFLOPS | Progress: (4/20) | 5.41 s
[Task 1/25] Current/Best: 6.17/ 17.57 GFLOPS | Progress: (8/20) | 8.81 s
[Task 1/25] Current/Best: 11.54/ 22.79 GFLOPS | Progress: (12/20) | 11.22 s
[Task 1/25] Current/Best: 16.77/ 22.87 GFLOPS | Progress: (16/20) | 12.89 s
[Task 1/25] Current/Best: 11.61/ 23.86 GFLOPS | Progress: (20/20) | 14.61 s Done.
+
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 12.11/ 13.22 GFLOPS | Progress: (4/20) | 3.53 s
[Task 2/25] Current/Best: 14.25/ 19.04 GFLOPS | Progress: (8/20) | 4.80 s
[Task 2/25] Current/Best: 20.92/ 20.92 GFLOPS | Progress: (12/20) | 6.10 s
[Task 2/25] Current/Best: 12.57/ 20.92 GFLOPS | Progress: (16/20) | 7.38 s
[Task 2/25] Current/Best: 20.15/ 20.92 GFLOPS | Progress: (20/20) | 8.91 s Done.
+
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 1.63/ 10.52 GFLOPS | Progress: (4/20) | 5.77 s
[Task 3/25] Current/Best: 15.59/ 16.84 GFLOPS | Progress: (8/20) | 7.67 s
[Task 3/25] Current/Best: 14.91/ 16.84 GFLOPS | Progress: (12/20) | 9.42 s
[Task 3/25] Current/Best: 7.21/ 23.71 GFLOPS | Progress: (16/20) | 11.33 s
[Task 3/25] Current/Best: 12.11/ 23.71 GFLOPS | Progress: (20/20) | 15.80 s Done.
+
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 9.54/ 20.39 GFLOPS | Progress: (4/20) | 2.30 s
[Task 4/25] Current/Best: 6.86/ 20.39 GFLOPS | Progress: (8/20) | 6.54 s
[Task 4/25] Current/Best: 22.23/ 22.23 GFLOPS | Progress: (12/20) | 10.90 s
[Task 4/25] Current/Best: 17.45/ 22.23 GFLOPS | Progress: (16/20) | 13.08 s
[Task 4/25] Current/Best: 13.33/ 22.23 GFLOPS | Progress: (20/20) | 15.07 s Done.
+
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 9.91/ 10.45 GFLOPS | Progress: (4/20) | 2.49 s
[Task 5/25] Current/Best: 11.91/ 12.81 GFLOPS | Progress: (8/20) | 4.54 s
[Task 5/25] Current/Best: 11.21/ 18.03 GFLOPS | Progress: (12/20) | 7.65 s
[Task 5/25] Current/Best: 12.01/ 22.75 GFLOPS | Progress: (16/20) | 9.05 s
[Task 5/25] Current/Best: 12.09/ 22.75 GFLOPS | Progress: (20/20) | 10.88 s Done.
+
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 12.22/ 20.73 GFLOPS | Progress: (4/20) | 3.83 s
[Task 6/25] Current/Best: 19.06/ 20.73 GFLOPS | Progress: (8/20) | 5.60 s
[Task 6/25] Current/Best: 13.20/ 20.73 GFLOPS | Progress: (12/20) | 7.51 s
[Task 6/25] Current/Best: 20.00/ 20.73 GFLOPS | Progress: (16/20) | 9.75 s
[Task 6/25] Current/Best: 3.73/ 20.73 GFLOPS | Progress: (20/20) | 12.25 s Done.
+
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 11.26/ 13.01 GFLOPS | Progress: (4/20) | 3.50 s
[Task 7/25] Current/Best: 20.31/ 21.17 GFLOPS | Progress: (8/20) | 4.99 s
[Task 7/25] Current/Best: 16.19/ 21.17 GFLOPS | Progress: (12/20) | 6.88 s
[Task 7/25] Current/Best: 12.25/ 21.17 GFLOPS | Progress: (16/20) | 8.91 s
[Task 7/25] Current/Best: 6.42/ 21.72 GFLOPS | Progress: (20/20) | 11.36 s Done.
+
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 10.00/ 13.93 GFLOPS | Progress: (4/20) | 2.85 s
[Task 8/25] Current/Best: 9.52/ 13.93 GFLOPS | Progress: (8/20) | 7.55 s
[Task 8/25] Current/Best: 12.76/ 13.93 GFLOPS | Progress: (12/20) | 13.60 s
[Task 8/25] Current/Best: 19.00/ 19.00 GFLOPS | Progress: (16/20) | 15.67 s
[Task 8/25] Current/Best: 20.30/ 20.30 GFLOPS | Progress: (20/20) | 22.08 s Done.
+
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 14.41/ 15.84 GFLOPS | Progress: (4/20) | 17.22 s
[Task 9/25] Current/Best: 23.46/ 23.46 GFLOPS | Progress: (8/20) | 18.96 s
[Task 9/25] Current/Best: 8.20/ 23.46 GFLOPS | Progress: (12/20) | 21.33 s
[Task 9/25] Current/Best: 17.99/ 23.46 GFLOPS | Progress: (16/20) | 23.95 s
[Task 9/25] Current/Best: 9.10/ 23.46 GFLOPS | Progress: (20/20) | 31.54 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (4/20) | 2.46 s
[Task 10/25] Current/Best: 15.41/ 18.15 GFLOPS | Progress: (8/20) | 4.01 s
[Task 10/25] Current/Best: 12.92/ 18.93 GFLOPS | Progress: (12/20) | 5.53 s
[Task 10/25] Current/Best: 19.08/ 20.46 GFLOPS | Progress: (16/20) | 6.61 s
[Task 10/25] Current/Best: 8.85/ 20.46 GFLOPS | Progress: (20/20
) | 8.13 s Done.
+
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 12.32/ 18.12 GFLOPS | Progress: (4/20) | 3.18 s
[Task 11/25] Current/Best: 15.21/ 18.12 GFLOPS | Progress: (8/20) | 5.88 s
[Task 11/25] Current/Best: 18.04/ 18.12 GFLOPS | Progress: (12/20) | 7.88 s
[Task 11/25] Current/Best: 13.52/ 21.24 GFLOPS | Progress: (16/20) | 10.67 s
[Task 11/25] Current/Best: 19.47/ 21.60 GFLOPS | Progress: (20/20) | 12.69 s Done.
+
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 7.68/ 18.05 GFLOPS | Progress: (4/20) | 5.26 s
[Task 12/25] Current/Best: 5.31/ 18.05 GFLOPS | Progress: (8/20) | 8.92 s
[Task 12/25] Current/Best: 19.10/ 19.10 GFLOPS | Progress: (12/20) | 10.89 s
[Task 12/25] Current/Best: 15.16/ 19.10 GFLOPS | Progress: (16/20) | 13.65 s
[Task 12/25] Current/Best: 15.06/ 19.10 GFLOPS | Progress: (20/20) | 15.57 s Done.
+
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 8.76/ 17.26 GFLOPS | Progress: (4/20) | 3.55 s
[Task 13/25] Current/Best: 16.01/ 21.00 GFLOPS | Progress: (8/20) | 5.97 s
[Task 13/25] Current/Best: 19.38/ 21.66 GFLOPS | Progress: (12/20) | 8.88 s
[Task 13/25] Current/Best: 12.26/ 21.66 GFLOPS | Progress: (16/20) | 12.28 s
[Task 13/25] Current/Best: 18.94/ 21.66 GFLOPS | Progress: (20/20) | 14.52 s Done.
+
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 13.63/ 13.63 GFLOPS | Progress: (4/20) | 3.22 s
[Task 14/25] Current/Best: 6.12/ 13.63 GFLOPS | Progress: (8/20) | 5.37 s
[Task 14/25] Current/Best: 20.63/ 20.63 GFLOPS | Progress: (12/20) | 7.93 s
[Task 14/25] Current/Best: 17.83/ 20.63 GFLOPS | Progress: (16/20) | 9.77 s
[Task 14/25] Current/Best: 16.89/ 20.63 GFLOPS | Progress: (20/20) | 11.55 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-
[Task 15/25] Current/Best: 16.19/ 17.62 GFLOPS | Progress: (4/20) | 2.59 s
[Task 15/25] Current/Best: 13.34/ 18.15 GFLOPS | Progress: (8/20) | 4.04 s
[Task 15/25] Current/Best: 10.39/ 22.24 GFLOPS | Progress: (12/20) | 6.07 s
[Task 15/25] Current/Best: 20.17/ 22.24 GFLOPS | Progress: (16/20) | 8.92 s
[Task 15/25] Current/Best: 9.61/ 22.24 GFLOPS | Progress: (20/20) | 10.11 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 19.43/ 19.43 GFLOPS | Progress: (4/20) | 2.92 s
[Task 16/25] Current/Best: 3.04/ 19.43 GFLOPS | Progress: (8/20) | 4.53 s
[Task 16/25] Current/Best: 19.37/ 19.45 GFLOPS | Progress: (12/20) | 5.75 s
[Task 16/25] Current/Best: 18.20/ 19.45 GFLOPS | Progress: (16/20) | 7.08 s
[Task 16/25] Current/Best: 10.08/ 21.96 GFLOPS | Progress: (20/20) | 9.10 s Done.
-
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 13.30/ 18.86 GFLOPS | Progress: (4/20) | 4.59 s
[Task 17/25] Current/Best: 14.51/ 23.26 GFLOPS | Progress: (8/20) | 7.31 s
[Task 17/25] Current/Best: 17.07/ 23.26 GFLOPS | Progress: (12/20) | 9.36 s
[Task 17/25] Current/Best: 16.53/ 23.26 GFLOPS | Progress: (16/20) | 11.49 s
[Task 17/25] Current/Best: 9.95/ 23.26 GFLOPS | Progress: (20/20) | 13.60 s Done.
-
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 11.29/ 17.88 GFLOPS | Progress: (4/20) | 3.61 s
[Task 18/25] Current/Best: 10.56/ 19.92 GFLOPS | Progress: (8/20) | 6.98 s
[Task 18/25] Current/Best: 19.16/ 19.92 GFLOPS | Progress: (12/20) | 8.89 s
[Task 18/25] Current/Best: 10.17/ 19.92 GFLOPS | Progress: (16/20) | 12.51 s
[Task 18/25] Current/Best: 20.86/ 20.86 GFLOPS | Progress: (20/20) | 14.00 s Done.
-
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 7.24/ 20.35 GFLOPS | Progress: (4/20) | 5.91 s
[Task 19/25] Current/Best: 2.60/ 20.35 GFLOPS | Progress: (8/20) | 9.21 s
[Task 19/25] Current/Best: 20.14/ 21.75 GFLOPS | Progress: (12/20) | 11.97 s
[Task 19/25] Current/Best: 14.58/ 22.01 GFLOPS | Progress: (16/20) | 14.83 s
[Task 19/25] Current/Best: 2.70/ 23.84 GFLOPS | Progress: (20/20) | 17.56 s Done.
-
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 10.05/ 15.42 GFLOPS | Progress: (4/20) | 3.18 s
[Task 20/25] Current/Best: 9.77/ 15.42 GFLOPS | Progress: (8/20) | 6.62 s
[Task 20/25] Current/Best: 2.32/ 16.65 GFLOPS | Progress: (12/20) | 10.47 s Done.
-
[Task 20/25] Current/Best: 12.44/ 16.65 GFLOPS | Progress: (16/20) | 14.15 s
[Task 20/25] Current/Best: 13.82/ 22.21 GFLOPS | Progress: (20/20) | 16.22 s Done.
-
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 6.43/ 17.70 GFLOPS | Progress: (4/20) | 3.15 s
[Task 21/25] Current/Best: 14.62/ 17.70 GFLOPS | Progress: (8/20) | 4.73 s
[Task 21/25] Current/Best: 1.61/ 17.70 GFLOPS | Progress: (12/20) | 6.85 s
[Task 21/25] Current/Best: 18.04/ 18.04 GFLOPS | Progress: (16/20) | 10.23 s
[Task 21/25] Current/Best: 4.46/ 18.04 GFLOPS | Progress: (20/20) | 17.27 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 2.70/ 17.03 GFLOPS | Progress: (4/20) | 2.59 s
[Task 22/25] Current/Best: 8.65/ 22.00 GFLOPS | Progress: (8/20) | 4.57 s
[Task 22/25] Current/Best: 19.94/ 22.00 GFLOPS | Progress: (12/20) | 6.87 s
[Task 22/25] Current/Best: 15.52/ 22.00 GFLOPS | Progress: (16/20) | 8.90 s
[Task 22/25] Current/Best: 14.28/ 22.00 GFLOPS | Progress: (20/20) |
10.55 s Done.
-
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 17.56/ 20.49 GFLOPS | Progress: (4/20) | 3.17 s
[Task 23/25] Current/Best: 15.83/ 20.49 GFLOPS | Progress: (8/20) | 6.53 s
[Task 23/25] Current/Best: 20.85/ 21.64 GFLOPS | Progress: (12/20) | 8.35 s
[Task 23/25] Current/Best: 6.39/ 21.64 GFLOPS | Progress: (16/20) | 15.33 s
[Task 23/25] Current/Best: 7.98/ 21.64 GFLOPS | Progress: (20/20) | 19.51 s Done.
-
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 8.27/ 8.27 GFLOPS | Progress: (4/20) | 13.61 s
[Task 24/25] Current/Best: 2.10/ 8.27 GFLOPS | Progress: (8/20) | 30.04 s
[Task 24/25] Current/Best: 4.50/ 8.27 GFLOPS | Progress: (12/20) | 52.50 s
[Task 24/25] Current/Best: 5.93/ 8.74 GFLOPS | Progress: (16/20) | 57.79 s Done.
-
[Task 24/25] Current/Best: 3.38/ 9.01 GFLOPS | Progress: (20/20) | 63.61 s Done.
-
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 1.55/ 2.76 GFLOPS | Progress: (4/20) | 32.38 s
[Task 25/25] Current/Best: 5.67/ 7.81 GFLOPS | Progress: (8/20) | 323.94 s
[Task 25/25] Current/Best: 5.90/ 7.81 GFLOPS | Progress: (12/20) | 352.28 s
[Task 25/25] Current/Best: 5.80/ 9.78 GFLOPS | Progress: (16/20) | 354.13 s
[Task 25/25] Current/Best: 2.89/ 9.78 GFLOPS | Progress: (20/20) | 374.08 s
+
[Task 15/25] Current/Best: 16.17/ 17.64 GFLOPS | Progress: (4/20) | 2.61 s
[Task 15/25] Current/Best: 14.34/ 18.11 GFLOPS | Progress: (8/20) | 4.06 s
[Task 15/25] Current/Best: 10.34/ 22.30 GFLOPS | Progress: (12/20) | 6.12 s
[Task 15/25] Current/Best: 20.39/ 22.30 GFLOPS | Progress: (16/20) | 8.99 s
[Task 15/25] Current/Best: 9.66/ 22.30 GFLOPS | Progress: (20/20) | 10.13 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 20.83/ 20.83 GFLOPS | Progress: (4/20) | 2.83 s
[Task 16/25] Current/Best: 3.04/ 20.83 GFLOPS | Progress: (8/20) | 4.43 s
[Task 16/25] Current/Best: 19.46/ 20.83 GFLOPS | Progress: (12/20) | 5.64 s
[Task 16/25] Current/Best: 18.40/ 20.83 GFLOPS | Progress: (16/20) | 6.97 s
[Task 16/25] Current/Best: 9.99/ 22.16 GFLOPS | Progress: (20/20) | 8.98 s Done.
+
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 12.88/ 18.85 GFLOPS | Progress: (4/20) | 4.60 s
[Task 17/25] Current/Best: 14.39/ 23.14 GFLOPS | Progress: (8/20) | 7.45 s
[Task 17/25] Current/Best: 16.79/ 23.14 GFLOPS | Progress: (12/20) | 9.49 s
[Task 17/25] Current/Best: 16.44/ 23.14 GFLOPS | Progress: (16/20) | 11.62 s
[Task 17/25] Current/Best: 10.05/ 23.14 GFLOPS | Progress: (20/20) | 13.73 s Done.
+
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 11.38/ 18.06 GFLOPS | Progress: (4/20) | 3.59 s
[Task 18/25] Current/Best: 10.57/ 20.09 GFLOPS | Progress: (8/20) | 6.94 s
[Task 18/25] Current/Best: 19.54/ 20.09 GFLOPS | Progress: (12/20) | 8.87 s
[Task 18/25] Current/Best: 10.09/ 20.09 GFLOPS | Progress: (16/20) | 12.45 s
[Task 18/25] Current/Best: 20.56/ 20.56 GFLOPS | Progress: (20/20) | 13.94 s Done.
+
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 7.24/ 20.41 GFLOPS | Progress: (4/20) | 5.90 s
[Task 19/25] Current/Best: 2.60/ 20.41 GFLOPS | Progress: (8/20) | 9.17 s
[Task 19/25] Current/Best: 19.75/ 21.81 GFLOPS | Progress: (12/20) | 11.97 s
[Task 19/25] Current/Best: 15.34/ 21.81 GFLOPS | Progress: (16/20) | 14.77 s
[Task 19/25] Current/Best: 2.70/ 23.70 GFLOPS | Progress: (20/20) | 17.54 s Done.
+
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 9.08/ 15.57 GFLOPS | Progress: (4/20) | 3.23 s
[Task 20/25] Current/Best: 9.79/ 15.57 GFLOPS | Progress: (8/20) | 6.66 s
[Task 20/25] Current/Best: 2.32/ 16.58 GFLOPS | Progress: (12/20) | 10.68 s Done.
+
[Task 20/25] Current/Best: 12.43/ 16.58 GFLOPS | Progress: (16/20) | 14.37 s
[Task 20/25] Current/Best: 11.89/ 22.21 GFLOPS | Progress: (20/20) | 16.46 s Done.
+
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 6.42/ 17.57 GFLOPS | Progress: (4/20) | 3.13 s
[Task 21/25] Current/Best: 14.67/ 17.57 GFLOPS | Progress: (8/20) | 4.66 s
[Task 21/25] Current/Best: 1.61/ 17.57 GFLOPS | Progress: (12/20) | 6.76 s
[Task 21/25] Current/Best: 18.07/ 18.07 GFLOPS | Progress: (16/20) | 10.15 s
[Task 21/25] Current/Best: 4.47/ 18.07 GFLOPS | Progress: (20/20) | 17.16 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 2.71/ 17.02 GFLOPS | Progress: (4/20) | 2.59 s
[Task 22/25] Current/Best: 8.61/ 21.87 GFLOPS | Progress: (8/20) | 4.56 s
[Task 22/25] Current/Best: 19.97/ 21.87 GFLOPS | Progress: (12/20) | 6.87 s
[Task 22/25] Current/Best: 15.45/ 21.87 GFLOPS | Progress: (16/20) | 8.88 s
[Task 22/25] Current/Best: 13.97/ 21.87 GFLOPS | Progress: (20/20) |
10.59 s Done.
+
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 17.53/ 20.79 GFLOPS | Progress: (4/20) | 3.15 s
[Task 23/25] Current/Best: 15.90/ 20.79 GFLOPS | Progress: (8/20) | 6.40 s
[Task 23/25] Current/Best: 21.09/ 21.84 GFLOPS | Progress: (12/20) | 8.18 s
[Task 23/25] Current/Best: 6.48/ 21.84 GFLOPS | Progress: (16/20) | 15.14 s
[Task 23/25] Current/Best: 7.92/ 21.84 GFLOPS | Progress: (20/20) | 19.34 s Done.
+
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 8.56/ 8.56 GFLOPS | Progress: (4/20) | 13.20 s
[Task 24/25] Current/Best: 3.73/ 8.56 GFLOPS | Progress: (8/20) | 28.78 s
[Task 24/25] Current/Best: 4.50/ 8.56 GFLOPS | Progress: (12/20) | 51.13 s
[Task 24/25] Current/Best: 6.37/ 8.57 GFLOPS | Progress: (16/20) | 56.42 s Done.
+
[Task 24/25] Current/Best: 3.37/ 8.77 GFLOPS | Progress: (20/20) | 62.27 s Done.
+
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 1.55/ 2.81 GFLOPS | Progress: (4/20) | 32.39 s
[Task 25/25] Current/Best: 6.03/ 8.19 GFLOPS | Progress: (8/20) | 62.73 s
[Task 25/25] Current/Best: 5.90/ 8.19 GFLOPS | Progress: (12/20) | 90.98 s
[Task 25/25] Current/Best: 5.85/ 8.80 GFLOPS | Progress: (16/20) | 92.84 s
[Task 25/25] Current/Best: 2.85/ 8.88 GFLOPS | Progress: (20/20) | 112.89 s
The output from this tuning process will look something like this:
@@ -651,8 +651,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 412.19644345999313, 'median': 412.37098235000076, 'std': 0.8896105969380994}
- unoptimized: {'mean': 493.7059949399998, 'median': 493.5133528999984, 'std': 0.5870097948846303}
+ optimized: {'mean': 411.9186274700769, 'median': 411.9606426003884, 'std': 1.126089834134449}
+ unoptimized: {'mean': 491.7521707400738, 'median': 491.2931180497253, 'std': 1.277808508191186}
@@ -672,7 +672,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 15 minutes 59.925 seconds)
+ **Total running time of the script:** ( 11 minutes 34.395 seconds)
.. _sphx_glr_download_tutorial_autotvm_relay_x86.py:
diff --git a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
index cd1f2edf9..e371d73c5 100644
--- a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
@@ -235,7 +235,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.278e-07 secs/op
+ 1.279e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 334f19b7a..7d1386ee9 100644
--- a/docs/_sources/tutorial/intro_topi.rst.txt
+++ b/docs/_sources/tutorial/intro_topi.rst.txt
@@ -233,7 +233,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, placeholder(a, 0x209cd070)), stage(b, placeholder(b, 0x20d3d070)), stage(T_add, compute(T_add, body=[(a[ax0, ax1, ax2] + b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(min=0, ext=10))], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[(a[ax0, ax1, ax2]*b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(mi [...]
+ [stage(a, placeholder(a, 0x11632f50)), stage(b, placeholder(b, 0x197bf170)), stage(T_add, compute(T_add, body=[(a[ax0, ax1, ax2] + b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(min=0, ext=10))], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[(a[ax0, ax1, ax2]*b[ax1, ax2])], axis=[iter_var(ax0, range(min=0, ext=100)), iter_var(ax1, range(min=0, ext=10)), iter_var(ax2, range(mi [...]
diff --git a/docs/_sources/tutorial/sg_execution_times.rst.txt b/docs/_sources/tutorial/sg_execution_times.rst.txt
index 9fb737110..5460ab612 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,17 +5,17 @@
Computation times
=================
-**19:06.228** total execution time for **tutorial** files:
+**14:24.328** total execution time for **tutorial** files:
-- **15:59.925**: :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)
-- **01:16.358**: :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``)
-- **00:58.563**: :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
-- **00:25.915**: :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)
-- **00:23.310**: :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)
-- **00:01.142**: :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)
-- **00:00.696**: :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)
-- **00:00.185**: :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
-- **00:00.037**: :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)
-- **00:00.037**: :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)
-- **00:00.030**: :ref:`sphx_glr_tutorial_install.py` (``install.py``)
-- **00:00.029**: :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
+- **11:34.395**: :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)
+- **01:00.925**: :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``)
+- **00:57.978**: :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
+- **00:25.984**: :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)
+- **00:23.428**: :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)
+- **00:00.717**: :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)
+- **00:00.574**: :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)
+- **00:00.193**: :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
+- **00:00.039**: :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
+- **00:00.033**: :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)
+- **00:00.033**: :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)
+- **00:00.029**: :ref:`sphx_glr_tutorial_install.py` (``install.py``)
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index d33cfb07f..dc15b3ae4 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -388,7 +388,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000024
+ vector: 0.000025
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [(stride: int32*n: int32)], [], type="auto"),
@@ -438,10 +438,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 8.150759999807633e-06 1.0
- naive 7.6114e-06 0.9338270296487244
- parallel 6.0755000000000005e-06 0.7453906138989971
- vector 2.44817e-05 3.0036094794323223
+ numpy 8.052209959714674e-06 1.0
+ naive 7.6048000000000004e-06 0.9444363768514393
+ parallel 6.1031e-06 0.7579409914214731
+ vector 2.4606600000000003e-05 3.0558815683032594
@@ -830,7 +830,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.017785
+ Numpy running time: 0.018014
@@ -886,7 +886,7 @@ optimizations.
.. code-block:: none
- none: 3.234472
+ none: 3.189025
@@ -985,7 +985,7 @@ schedule.
.. code-block:: none
- blocking: 0.298247
+ blocking: 0.303461
@@ -1077,7 +1077,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.340880
+ vectorization: 0.342470
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [1048576], []),
@@ -1149,7 +1149,7 @@ more cache friendly.
.. code-block:: none
- loop permutation: 0.117592
+ loop permutation: 0.113882
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [1048576], []),
@@ -1246,7 +1246,7 @@ optimized schedule.
.. code-block:: none
- array packing: 0.110857
+ array packing: 0.107998
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [1048576], []),
@@ -1337,7 +1337,7 @@ to `C` when all the block results are ready.
.. code-block:: none
- block caching: 0.111759
+ block caching: 0.110359
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [1048576], []),
@@ -1421,7 +1421,7 @@ of thread-level parallelization.
.. code-block:: none
- parallelization: 0.144082
+ parallelization: 0.144109
@main = primfn(A_1: handle, B_1: handle, C_1: handle) -> ()
attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
buffers = {A: Buffer(A_2: Pointer(float32), float32, [1048576], []),
@@ -1500,13 +1500,13 @@ working, we can compare the results.
.. code-block:: none
Operator Timing Performance
- none 3.2344716244 1.0
- blocking 0.2982469159 0.09220885218163735
- vectorization 0.3408795219 0.10538955399345441
- loop permutation 0.1175920376 0.036355872382035054
- array packing 0.11085745139999999 0.03427374368157094
- block caching 0.11175899110000001 0.03455247226685178
- parallelization 0.1440818252 0.04454570697516243
+ none 3.189025255 1.0
+ blocking 0.3034607232 0.09515783003731654
+ vectorization 0.3424695246 0.10739003213068002
+ loop permutation 0.1138817047 0.03571050574825253
+ array packing 0.10799804240000002 0.03386553374912048
+ block caching 0.11035851690000001 0.03460572058091149
+ parallelization 0.14410941419999998 0.04518917307853054
diff --git a/docs/commit_hash b/docs/commit_hash
index 3d13a4066..7150502f2 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-f59c70226b7df10d059507e02c2dc0f46000405c
+87366b56ed25456c2d1984183e9fa28e6958f93e
diff --git a/docs/how_to/compile_models/from_mxnet.html b/docs/how_to/compile_models/from_mxnet.html
index 39bcb6fcf..903039dc0 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -401,7 +401,7 @@
</div>
<img alt="../../_images/sphx_glr_from_mxnet_001.png" class="sphx-glr-single-img" src="../../_images/sphx_glr_from_mxnet_001.png" />
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipd7643013-d33d-4930-a2aa-67882061c63c from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip4ad05ada-6bea-47f3-aae9-1f4952075ec5 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
</pre></div>
</div>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 53f08ce99..b711fe269 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -406,44 +406,45 @@ python3 -m pip install -f https://release.oneflow.info <span class="nv">oneflow<
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
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diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 477a69715..e21dd5884 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -464,7 +464,7 @@ A quick solution is</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>TVM prediction top-1 id: 282, class name: 282: 'tiger cat',
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 5.810 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 6.278 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-paddle-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/16269b77359771348d507395692524cf/from_paddle.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_paddle.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index fb012a83b..4ec5168b8 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -387,8 +387,10 @@ be unstable.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
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</pre></div>
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 5dd595095..cd1b81843 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -607,6 +607,7 @@ banana (score = 0.00022)
desk (score = 0.00019)
</pre></div>
</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 3.467 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-tensorflow-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7f1d3d1b878694c201c614c807cdebc8/from_tensorflow.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_tensorflow.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
index d92d7a13d..9f859852b 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -300,18 +300,18 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>05:10.367</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>05:19.355</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<ul class="simple">
-<li><p><strong>01:05.810</strong>: <a class="reference internal" href="from_paddle.html#sphx-glr-how-to-compile-models-from-paddle-py"><span class="std std-ref">Compile PaddlePaddle Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_paddle.py</span></code>)</p></li>
-<li><p><strong>00:58.921</strong>: <a class="reference internal" href="from_tensorflow.html#sphx-glr-how-to-compile-models-from-tensorflow-py"><span class="std std-ref">Compile Tensorflow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tensorflow.py</span></code>)</p></li>
-<li><p><strong>00:56.177</strong>: <a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></li>
-<li><p><strong>00:29.766</strong>: <a class="reference internal" href="from_oneflow.html#sphx-glr-how-to-compile-models-from-oneflow-py"><span class="std std-ref">Compile OneFlow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_oneflow.py</span></code>)</p></li>
-<li><p><strong>00:23.933</strong>: <a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></li>
-<li><p><strong>00:21.373</strong>: <a class="reference internal" href="from_coreml.html#sphx-glr-how-to-compile-models-from-coreml-py"><span class="std std-ref">Compile CoreML Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_coreml.py</span></code>)</p></li>
-<li><p><strong>00:21.071</strong>: <a class="reference internal" href="from_mxnet.html#sphx-glr-how-to-compile-models-from-mxnet-py"><span class="std std-ref">Compile MXNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_mxnet.py</span></code>)</p></li>
-<li><p><strong>00:18.689</strong>: <a class="reference internal" href="from_pytorch.html#sphx-glr-how-to-compile-models-from-pytorch-py"><span class="std std-ref">Compile PyTorch Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_pytorch.py</span></code>)</p></li>
-<li><p><strong>00:12.136</strong>: <a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></li>
-<li><p><strong>00:02.490</strong>: <a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></li>
+<li><p><strong>01:06.278</strong>: <a class="reference internal" href="from_paddle.html#sphx-glr-how-to-compile-models-from-paddle-py"><span class="std std-ref">Compile PaddlePaddle Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_paddle.py</span></code>)</p></li>
+<li><p><strong>01:03.467</strong>: <a class="reference internal" href="from_tensorflow.html#sphx-glr-how-to-compile-models-from-tensorflow-py"><span class="std std-ref">Compile Tensorflow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tensorflow.py</span></code>)</p></li>
+<li><p><strong>00:56.575</strong>: <a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></li>
+<li><p><strong>00:30.581</strong>: <a class="reference internal" href="from_oneflow.html#sphx-glr-how-to-compile-models-from-oneflow-py"><span class="std std-ref">Compile OneFlow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_oneflow.py</span></code>)</p></li>
+<li><p><strong>00:23.906</strong>: <a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></li>
+<li><p><strong>00:22.204</strong>: <a class="reference internal" href="from_coreml.html#sphx-glr-how-to-compile-models-from-coreml-py"><span class="std std-ref">Compile CoreML Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_coreml.py</span></code>)</p></li>
+<li><p><strong>00:21.040</strong>: <a class="reference internal" href="from_mxnet.html#sphx-glr-how-to-compile-models-from-mxnet-py"><span class="std std-ref">Compile MXNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_mxnet.py</span></code>)</p></li>
+<li><p><strong>00:19.082</strong>: <a class="reference internal" href="from_pytorch.html#sphx-glr-how-to-compile-models-from-pytorch-py"><span class="std std-ref">Compile PyTorch Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_pytorch.py</span></code>)</p></li>
+<li><p><strong>00:13.449</strong>: <a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></li>
+<li><p><strong>00:02.772</strong>: <a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/deploy_models/deploy_model_on_android.html b/docs/how_to/deploy_models/deploy_model_on_android.html
index 1ff255879..331c5c57e 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -622,7 +622,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 15.7871 15.7779 15.9140 15.6716 0.0815
+ 16.0293 15.9640 16.8562 15.7507 0.3046
</pre></div>
</div>
</div>
diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
index 6dc87bcbd..277175cb7 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -409,14 +409,38 @@ be unstable.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
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/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:3878: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
for i in range(dim)
/usr/local/lib/python3.7/dist-packages/torchvision/models/detection/anchor_utils.py:127: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
@@ -509,7 +533,7 @@ torchvision rcnn models.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Get 9 valid boxes
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 2.154 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 7.455 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-object-detection-pytorch-py">
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<p><a class="reference download internal" download="" href="../../_downloads/7795da4b258c8feff986668b95ef57ad/deploy_object_detection_pytorch.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_object_detection_pytorch.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_prequantized.html b/docs/how_to/deploy_models/deploy_prequantized.html
index 14894f818..9d15c5e12 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -450,7 +450,7 @@ training. Other models require a full post training calibration.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
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@@ -539,7 +539,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 90.3634 90.2245 91.4453 90.0330 0.3148
+ 90.3401 90.2460 91.1020 90.0886 0.2389
</pre></div>
</div>
<div class="admonition note">
@@ -578,7 +578,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
<div class="section" id="deploy-a-quantized-tflite-model">
<h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
<p>TODO</p>
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<p><a class="reference download internal" download="" href="../../_downloads/fb8217c13f4351224c6cf3aacf1a87fc/deploy_prequantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_prequantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_prequantized_tflite.html b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
index ac22236c4..71127437e 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -540,7 +540,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 120.7187 120.6253 125.4335 119.5197 0.8144
+ 120.6762 120.7001 121.6338 119.9347 0.3490
</pre></div>
</div>
<div class="admonition note">
@@ -568,7 +568,7 @@ network for ARM CPU</span></a>.</p></li>
</ul>
</div></blockquote>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-tflite-py">
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<p><a class="reference download internal" download="" href="../../_downloads/56691c7a27d45da61d112276334640d3/deploy_prequantized_tflite.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_prequantized_tflite.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_quantized.html b/docs/how_to/deploy_models/deploy_quantized.html
index 60c52f5a9..103883fcb 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -480,7 +480,7 @@ for calibration. But the accuracy might be impacted.</p>
DeprecationWarning,
</pre></div>
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<p><a class="reference download internal" download="" href="../../_downloads/7810ecf51bfc05f7d5e8a400ac3e815d/deploy_quantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_quantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_ssd_gluoncv.html b/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
index 7deded122..03509c54d 100644
--- a/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
+++ b/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
@@ -415,23 +415,24 @@ to your device.</p>
Downloading /workspace/.mxnet/models/ssd_512_resnet50_v1_voc-9c8b225a.zip from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/ssd_512_resnet50_v1_voc-9c8b225a.zip...
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<p>Create TVM runtime and do inference
@@ -471,7 +472,7 @@ Downloading /workspace/.mxnet/models/ssd_512_resnet50_v1_voc-9c8b225a.zip from h
</pre></div>
</div>
<img alt="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" class="sphx-glr-single-img" src="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" />
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 20.885 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 22.122 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-ssd-gluoncv-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/cccb17d28e5e8b2e94ea8cd5ec59f6ed/deploy_ssd_gluoncv.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_ssd_gluoncv.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 32cbeadb8..6d44fa6b2 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
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<div class="section" id="computation-times">
<span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>10:23.772</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>10:32.820</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<ul class="simple">
-<li><p><strong>03:02.154</strong>: <a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></li>
-<li><p><strong>02:20.885</strong>: <a class="reference internal" href="deploy_ssd_gluoncv.html#sphx-glr-how-to-deploy-models-deploy-ssd-gluoncv-py"><span class="std std-ref">Deploy Single Shot Multibox Detector(SSD) model</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_ssd_gluoncv.py</span></code>)</p></li>
-<li><p><strong>01:49.892</strong>: <a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></li>
-<li><p><strong>01:16.256</strong>: <a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">Deploy a Quantized Model on Cuda</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_quantized.py</span></code>)</p></li>
-<li><p><strong>01:04.555</strong>: <a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></li>
-<li><p><strong>00:28.358</strong>: <a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></li>
-<li><p><strong>00:21.478</strong>: <a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></li>
-<li><p><strong>00:00.194</strong>: <a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></li>
+<li><p><strong>03:07.455</strong>: <a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></li>
+<li><p><strong>02:22.122</strong>: <a class="reference internal" href="deploy_ssd_gluoncv.html#sphx-glr-how-to-deploy-models-deploy-ssd-gluoncv-py"><span class="std std-ref">Deploy Single Shot Multibox Detector(SSD) model</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_ssd_gluoncv.py</span></code>)</p></li>
+<li><p><strong>01:56.249</strong>: <a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></li>
+<li><p><strong>01:11.775</strong>: <a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">Deploy a Quantized Model on Cuda</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_quantized.py</span></code>)</p></li>
+<li><p><strong>01:05.222</strong>: <a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></li>
+<li><p><strong>00:28.027</strong>: <a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></li>
+<li><p><strong>00:21.772</strong>: <a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></li>
+<li><p><strong>00:00.197</strong>: <a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/extend_tvm/bring_your_own_datatypes.html b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
index 02d3bed76..5bc725f9c 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -588,7 +588,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip2e8e3183-9c29-46d9-9acc-2c58e5ac668d from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipbda49bce-9548-454a-ac59-218e23af65af from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
</pre></div>
</div>
<p>It’s easy to execute MobileNet with native TVM:</p>
@@ -650,7 +650,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Check failed: (lower) is false: FloatImm lowering function for target llvm type 150 not found
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Check failed: (lower) is false: Intrinsic lowering function for target llvm, intrinsic name tir.sqrt, type 150 not found
</pre></div>
</div>
<p>When we attempt to run the model, we get a familiar error telling us that more functions need to be registerd for myfloat.</p>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 16b411fc6..6b4ea4fd3 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -300,12 +300,12 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:38.039</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:38.256</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:34.500</strong>: <a class="reference internal" href="bring_your_own_datatypes.html#sphx-glr-how-to-extend-tvm-bring-your-own-datatypes-py"><span class="std std-ref">Bring Your Own Datatypes to TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_datatypes.py</span></code>)</p></li>
-<li><p><strong>00:02.274</strong>: <a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></li>
-<li><p><strong>00:01.061</strong>: <a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></li>
-<li><p><strong>00:00.204</strong>: <a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></li>
+<li><p><strong>00:34.731</strong>: <a class="reference internal" href="bring_your_own_datatypes.html#sphx-glr-how-to-extend-tvm-bring-your-own-datatypes-py"><span class="std std-ref">Bring Your Own Datatypes to TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_datatypes.py</span></code>)</p></li>
+<li><p><strong>00:02.255</strong>: <a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></li>
+<li><p><strong>00:01.068</strong>: <a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></li>
+<li><p><strong>00:00.202</strong>: <a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 534dafb8e..5d8935a8f 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -486,10 +486,10 @@ profile the execution time of each passes.</p>
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 6101us [6101us] (45.48%; 45.48%)
-FoldScaleAxis: 7314us [2us] (54.52%; 54.52%)
- FoldConstant: 7312us [1512us] (54.50%; 99.97%)
- InferType: 5800us [5800us] (43.24%; 79.33%)
+InferType: 5919us [5919us] (45.26%; 45.26%)
+FoldScaleAxis: 7158us [2us] (54.74%; 54.74%)
+ FoldConstant: 7156us [1470us] (54.72%; 99.97%)
+ InferType: 5687us [5687us] (43.48%; 79.46%)
</pre></div>
</div>
</div>
@@ -512,10 +512,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 5921us [5921us] (45.00%; 45.00%)
-FoldScaleAxis: 7238us [2us] (55.00%; 55.00%)
- FoldConstant: 7236us [1511us] (54.99%; 99.97%)
- InferType: 5725us [5725us] (43.51%; 79.12%)
+InferType: 5748us [5748us] (44.73%; 44.73%)
+FoldScaleAxis: 7103us [2us] (55.27%; 55.27%)
+ FoldConstant: 7101us [1487us] (55.26%; 99.97%)
+ InferType: 5614us [5614us] (43.69%; 79.06%)
</pre></div>
</div>
<p>Register empty list to clear existing instruments.</p>
diff --git a/docs/how_to/optimize_operators/opt_conv_cuda.html b/docs/how_to/optimize_operators/opt_conv_cuda.html
index 79ee21959..9335fc1d2 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -534,7 +534,7 @@ latency of convolution.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 35.734867 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 54.165517 ms
</pre></div>
</div>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-optimize-operators-opt-conv-cuda-py">
diff --git a/docs/how_to/optimize_operators/opt_conv_tensorcore.html b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
index ee2238163..7eda604e3 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -878,7 +878,7 @@ be able to run on our build server</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 7.639965 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 10.024157 ms
</pre></div>
</div>
</div>
diff --git a/docs/how_to/optimize_operators/opt_gemm.html b/docs/how_to/optimize_operators/opt_gemm.html
index 2ab64c5a0..289315d58 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -431,8 +431,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018188
-Baseline: 3.188528
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018868
+Baseline: 3.189337
</pre></div>
</div>
<p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -494,7 +494,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.293275
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.299016
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -563,7 +563,7 @@ vastly.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.333560
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.335369
</pre></div>
</div>
<p>Here is the generated IR after vectorization.</p>
@@ -626,7 +626,7 @@ the access pattern for A matrix is more cache friendly.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.117179
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.118347
</pre></div>
</div>
<p>Here is the generated IR after loop permutation.</p>
@@ -711,7 +711,7 @@ flattening.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.110652
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.110999
</pre></div>
</div>
<p>Here is the generated IR after array packing.</p>
@@ -799,7 +799,7 @@ write to C when all the block results are ready.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.111246
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.111177
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -891,7 +891,7 @@ write to C when all the block results are ready.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.144770
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.144785
</pre></div>
</div>
<p>Here is the generated IR after parallelization.</p>
diff --git a/docs/how_to/optimize_operators/sg_execution_times.html b/docs/how_to/optimize_operators/sg_execution_times.html
index f5aa4dfa2..9283ce0ff 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -300,11 +300,11 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-optimize-operators-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:34.209</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:34.518</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:31.541</strong>: <a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></li>
-<li><p><strong>00:01.451</strong>: <a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></li>
-<li><p><strong>00:01.217</strong>: <a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></li>
+<li><p><strong>00:31.729</strong>: <a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></li>
+<li><p><strong>00:01.512</strong>: <a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></li>
+<li><p><strong>00:01.277</strong>: <a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
index 50b84c9e9..9af08869a 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -300,14 +300,14 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autoscheduler-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>05:30.449</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>04:57.505</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<ul class="simple">
-<li><p><strong>02:56.543</strong>: <a class="reference internal" href="tune_conv2d_layer_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py"><span class="std std-ref">Auto-scheduling a Convolution Layer for GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_layer_cuda.py</span></code>)</p></li>
-<li><p><strong>01:17.854</strong>: <a class="reference internal" href="tune_network_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-x86-py"><span class="std std-ref">Auto-scheduling a Neural Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_x86.py</span></code>)</p></li>
-<li><p><strong>00:40.224</strong>: <a class="reference internal" href="tune_network_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-cuda-py"><span class="std std-ref">Auto-scheduling a Neural Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_cuda.py</span></code>)</p></li>
-<li><p><strong>00:18.885</strong>: <a class="reference internal" href="tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py"><span class="std std-ref">Auto-scheduling Sparse Matrix Multiplication on CPU with Custom Sketch Rule</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_sparse_x86.py</span></code>)</p></li>
-<li><p><strong>00:08.632</strong>: <a class="reference internal" href="tune_network_mali.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-mali-py"><span class="std std-ref">Auto-scheduling a Neural Network for mali GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_mali.py</span></code>)</p></li>
-<li><p><strong>00:08.310</strong>: <a class="reference internal" href="tune_network_arm.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-arm-py"><span class="std std-ref">Auto-scheduling a Neural Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_arm.py</span></code>)</p></li>
+<li><p><strong>02:21.544</strong>: <a class="reference internal" href="tune_conv2d_layer_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py"><span class="std std-ref">Auto-scheduling a Convolution Layer for GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_layer_cuda.py</span></code>)</p></li>
+<li><p><strong>01:18.969</strong>: <a class="reference internal" href="tune_network_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-x86-py"><span class="std std-ref">Auto-scheduling a Neural Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_x86.py</span></code>)</p></li>
+<li><p><strong>00:40.353</strong>: <a class="reference internal" href="tune_network_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-cuda-py"><span class="std std-ref">Auto-scheduling a Neural Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_cuda.py</span></code>)</p></li>
+<li><p><strong>00:19.488</strong>: <a class="reference internal" href="tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py"><span class="std std-ref">Auto-scheduling Sparse Matrix Multiplication on CPU with Custom Sketch Rule</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_sparse_x86.py</span></code>)</p></li>
+<li><p><strong>00:08.631</strong>: <a class="reference internal" href="tune_network_mali.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-mali-py"><span class="std std-ref">Auto-scheduling a Neural Network for mali GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_mali.py</span></code>)</p></li>
+<li><p><strong>00:08.521</strong>: <a class="reference internal" href="tune_network_arm.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-arm-py"><span class="std std-ref">Auto-scheduling a Neural Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_arm.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index e7b676659..7faaa7aa8 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -470,666 +470,409 @@ cooperative fetching, unrolling and operator fusion.</p>
compute: Buffer(compute_2: Pointer(float32), float32, [25088], [])}
buffer_map = {data_1: data, kernel_1: kernel, bias_1: bias, compute_1: compute}
preflattened_buffer_map = {data_1: data_3: Buffer(data_2, float32, [1, 512, 7, 7], []), kernel_1: kernel_3: Buffer(kernel_2, float32, [512, 512, 3, 3], []), bias_1: bias_3: Buffer(bias_2, float32, [1, 512, 1, 1], []), compute_1: compute_3: Buffer(compute_2, float32, [1, 512, 7, 7], [])} {
- attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 16;
+ attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 32;
allocate(conv2d_nchw: Pointer(local float32), float32, [14]), storage_scope = local;
- allocate(pad_temp.shared: Pointer(shared float32), float32, [4032]), storage_scope = shared;
- allocate(kernel.shared: Pointer(shared float32), float32, [6144]), storage_scope = shared;
- attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
- conv2d_nchw_1: Buffer(conv2d_nchw, float32, [4], [], scope="local", align=8)[0] = 0f32
- conv2d_nchw_1[2] = 0f32
- conv2d_nchw_1[4] = 0f32
- conv2d_nchw_1[6] = 0f32
- conv2d_nchw_1[8] = 0f32
- conv2d_nchw_1[10] = 0f32
- conv2d_nchw_1[12] = 0f32
+ allocate(pad_temp.shared: Pointer(shared float32), float32, [504]), storage_scope = shared;
+ allocate(kernel.shared: Pointer(shared float32), float32, [384]), storage_scope = shared;
+ attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
+ conv2d_nchw_1: Buffer(conv2d_nchw, float32, [14], [], scope="local", align=32)[0] = 0f32
conv2d_nchw_1[1] = 0f32
+ conv2d_nchw_1[2] = 0f32
conv2d_nchw_1[3] = 0f32
+ conv2d_nchw_1[4] = 0f32
conv2d_nchw_1[5] = 0f32
+ conv2d_nchw_1[6] = 0f32
conv2d_nchw_1[7] = 0f32
+ conv2d_nchw_1[8] = 0f32
conv2d_nchw_1[9] = 0f32
+ conv2d_nchw_1[10] = 0f32
conv2d_nchw_1[11] = 0f32
+ conv2d_nchw_1[12] = 0f32
conv2d_nchw_1[13] = 0f32
- for (rc.outer.outer: int32, 0, 8) {
+ for (rc.outer.outer: int32, 0, 64) {
for (ry.outer.outer: int32, 0, 3) {
- let cse_var_2: int32 = (rc.outer.outer*3136)
- let cse_var_1: int32 = (ry.outer.outer*7)
+ let cse_var_4: int32 = (rc.outer.outer*392)
+ let cse_var_3: int32 = (ry.outer.outer*7)
+ let cse_var_2: int32 = (rc.outer.outer*72)
+ let cse_var_1: int32 = (ry.outer.outer*3)
{
- attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1: Buffer(pad_temp.shared, float32, [4032], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) - 8)], 0f [...]
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 112)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 112), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 224)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 224), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 336)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 336), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 448)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 448), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 560)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 560), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 560), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 560), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 672)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 672), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 672), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 672), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 784)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 784), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 784), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 784), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 896)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 896), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 896), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 896), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1008)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 776)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1120)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1120), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1120), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1120), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1232)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1232), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1232), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1232), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1344)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1344), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1344), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1344), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1456)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1456), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1456), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1456), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1568)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1568), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1568), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1568), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1680)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1680), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1680), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1680), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1792)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1792), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1792), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1792), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 1904)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 1904), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 1904), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1904), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2016)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 1560)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2128)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2128), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2128), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2128), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2240)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2240), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2240), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2240), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2352)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2352), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2352), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2352), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2464)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2464), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2464), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2464), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2576)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2576), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2576), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2576), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2688)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2688), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2688), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2688), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2800)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2800), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2800), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2800), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 2912)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 2912), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 2912), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2912), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3024)] = @tir.if_then_else(((((1 <= (floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer)) && ((floordiv(floormod(threadIdx.x_1, 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_1) + floormod(threadIdx.x_1, 9)) + 2344)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3136)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3136), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3136), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3136), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3248)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3248), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3248), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3248), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3360)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3360), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3360), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3360), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3472)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3472), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3472), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3472), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3584)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3584), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3584), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3584), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3696)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3696), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3696), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3696), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3808)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3808), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3808), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3808), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- pad_temp.shared_1[(threadIdx.x_1 + 3920)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 3920), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 3920), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 3920), 9)*7)) + cse_var_1) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
- attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
- kernel.shared_1: Buffer(kernel.shared, float32, [6144], [], scope="shared")[(threadIdx.x_2*48)] = kernel[(((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3))]
- kernel.shared_1[((threadIdx.x_2*48) + 1)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 1)]
- kernel.shared_1[((threadIdx.x_2*48) + 2)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 2)]
- kernel.shared_1[((threadIdx.x_2*48) + 3)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 9)]
- kernel.shared_1[((threadIdx.x_2*48) + 4)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 10)]
- kernel.shared_1[((threadIdx.x_2*48) + 5)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 11)]
- kernel.shared_1[((threadIdx.x_2*48) + 6)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 18)]
- kernel.shared_1[((threadIdx.x_2*48) + 7)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 19)]
- kernel.shared_1[((threadIdx.x_2*48) + 8)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 20)]
- kernel.shared_1[((threadIdx.x_2*48) + 9)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 27)]
- kernel.shared_1[((threadIdx.x_2*48) + 10)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 28)]
- kernel.shared_1[((threadIdx.x_2*48) + 11)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 29)]
- kernel.shared_1[((threadIdx.x_2*48) + 12)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 36)]
- kernel.shared_1[((threadIdx.x_2*48) + 13)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 37)]
- kernel.shared_1[((threadIdx.x_2*48) + 14)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 38)]
- kernel.shared_1[((threadIdx.x_2*48) + 15)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 45)]
- kernel.shared_1[((threadIdx.x_2*48) + 16)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 46)]
- kernel.shared_1[((threadIdx.x_2*48) + 17)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 47)]
- kernel.shared_1[((threadIdx.x_2*48) + 18)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 54)]
- kernel.shared_1[((threadIdx.x_2*48) + 19)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 55)]
- kernel.shared_1[((threadIdx.x_2*48) + 20)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 56)]
- kernel.shared_1[((threadIdx.x_2*48) + 21)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 63)]
- kernel.shared_1[((threadIdx.x_2*48) + 22)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 64)]
- kernel.shared_1[((threadIdx.x_2*48) + 23)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 65)]
- kernel.shared_1[((threadIdx.x_2*48) + 24)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 72)]
- kernel.shared_1[((threadIdx.x_2*48) + 25)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 73)]
- kernel.shared_1[((threadIdx.x_2*48) + 26)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 74)]
- kernel.shared_1[((threadIdx.x_2*48) + 27)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 81)]
- kernel.shared_1[((threadIdx.x_2*48) + 28)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 82)]
- kernel.shared_1[((threadIdx.x_2*48) + 29)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 83)]
- kernel.shared_1[((threadIdx.x_2*48) + 30)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 90)]
- kernel.shared_1[((threadIdx.x_2*48) + 31)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 91)]
- kernel.shared_1[((threadIdx.x_2*48) + 32)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 92)]
- kernel.shared_1[((threadIdx.x_2*48) + 33)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 99)]
- kernel.shared_1[((threadIdx.x_2*48) + 34)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 100)]
- kernel.shared_1[((threadIdx.x_2*48) + 35)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 101)]
- kernel.shared_1[((threadIdx.x_2*48) + 36)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 108)]
- kernel.shared_1[((threadIdx.x_2*48) + 37)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 109)]
- kernel.shared_1[((threadIdx.x_2*48) + 38)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 110)]
- kernel.shared_1[((threadIdx.x_2*48) + 39)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 117)]
- kernel.shared_1[((threadIdx.x_2*48) + 40)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 118)]
- kernel.shared_1[((threadIdx.x_2*48) + 41)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 119)]
- kernel.shared_1[((threadIdx.x_2*48) + 42)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 126)]
- kernel.shared_1[((threadIdx.x_2*48) + 43)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 127)]
- kernel.shared_1[((threadIdx.x_2*48) + 44)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 128)]
- kernel.shared_1[((threadIdx.x_2*48) + 45)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 135)]
- kernel.shared_1[((threadIdx.x_2*48) + 46)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 136)]
- kernel.shared_1[((threadIdx.x_2*48) + 47)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 137)]
- }
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
- if @tir.likely((threadIdx.x_2 < 16), dtype=bool) {
- kernel.shared_1[((threadIdx.x_2*48) + 5376)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129024)]
- kernel.shared_1[((threadIdx.x_2*48) + 5377)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129025)]
- kernel.shared_1[((threadIdx.x_2*48) + 5378)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129026)]
- kernel.shared_1[((threadIdx.x_2*48) + 5379)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129033)]
- kernel.shared_1[((threadIdx.x_2*48) + 5380)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129034)]
- kernel.shared_1[((threadIdx.x_2*48) + 5381)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129035)]
- kernel.shared_1[((threadIdx.x_2*48) + 5382)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129042)]
- kernel.shared_1[((threadIdx.x_2*48) + 5383)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129043)]
- kernel.shared_1[((threadIdx.x_2*48) + 5384)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129044)]
- kernel.shared_1[((threadIdx.x_2*48) + 5385)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129051)]
- kernel.shared_1[((threadIdx.x_2*48) + 5386)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129052)]
- kernel.shared_1[((threadIdx.x_2*48) + 5387)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129053)]
- kernel.shared_1[((threadIdx.x_2*48) + 5388)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129060)]
- kernel.shared_1[((threadIdx.x_2*48) + 5389)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129061)]
- kernel.shared_1[((threadIdx.x_2*48) + 5390)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129062)]
- kernel.shared_1[((threadIdx.x_2*48) + 5391)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129069)]
- kernel.shared_1[((threadIdx.x_2*48) + 5392)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129070)]
- kernel.shared_1[((threadIdx.x_2*48) + 5393)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129071)]
- kernel.shared_1[((threadIdx.x_2*48) + 5394)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129078)]
- kernel.shared_1[((threadIdx.x_2*48) + 5395)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129079)]
- kernel.shared_1[((threadIdx.x_2*48) + 5396)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129080)]
- kernel.shared_1[((threadIdx.x_2*48) + 5397)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129087)]
- kernel.shared_1[((threadIdx.x_2*48) + 5398)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129088)]
- kernel.shared_1[((threadIdx.x_2*48) + 5399)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129089)]
- kernel.shared_1[((threadIdx.x_2*48) + 5400)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129096)]
- kernel.shared_1[((threadIdx.x_2*48) + 5401)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129097)]
- kernel.shared_1[((threadIdx.x_2*48) + 5402)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129098)]
- kernel.shared_1[((threadIdx.x_2*48) + 5403)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129105)]
- kernel.shared_1[((threadIdx.x_2*48) + 5404)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129106)]
- kernel.shared_1[((threadIdx.x_2*48) + 5405)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129107)]
- kernel.shared_1[((threadIdx.x_2*48) + 5406)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129114)]
- kernel.shared_1[((threadIdx.x_2*48) + 5407)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129115)]
- kernel.shared_1[((threadIdx.x_2*48) + 5408)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129116)]
- kernel.shared_1[((threadIdx.x_2*48) + 5409)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129123)]
- kernel.shared_1[((threadIdx.x_2*48) + 5410)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129124)]
- kernel.shared_1[((threadIdx.x_2*48) + 5411)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129125)]
- kernel.shared_1[((threadIdx.x_2*48) + 5412)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129132)]
- kernel.shared_1[((threadIdx.x_2*48) + 5413)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129133)]
- kernel.shared_1[((threadIdx.x_2*48) + 5414)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129134)]
- kernel.shared_1[((threadIdx.x_2*48) + 5415)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129141)]
- kernel.shared_1[((threadIdx.x_2*48) + 5416)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129142)]
- kernel.shared_1[((threadIdx.x_2*48) + 5417)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129143)]
- kernel.shared_1[((threadIdx.x_2*48) + 5418)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129150)]
- kernel.shared_1[((threadIdx.x_2*48) + 5419)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129151)]
- kernel.shared_1[((threadIdx.x_2*48) + 5420)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129152)]
- kernel.shared_1[((threadIdx.x_2*48) + 5421)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129159)]
- kernel.shared_1[((threadIdx.x_2*48) + 5422)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129160)]
- kernel.shared_1[((threadIdx.x_2*48) + 5423)] = kernel[((((((blockIdx.x*147456) + (floordiv(threadIdx.x_2, 4)*4608)) + (rc.outer.outer*576)) + (floormod(threadIdx.x_2, 4)*144)) + (ry.outer.outer*3)) + 129161)]
- }
- for (rc.outer.inner: int32, 0, 2) {
- for (rx.outer.inner: int32, 0, 3) {
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7))]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 9)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 18)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 27)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 36)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 45)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 54)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7))]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 9)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 18)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 27)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 36)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 45)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 54)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 192)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 72)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 90)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 99)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 108)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 117)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 3)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 72)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 90)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 99)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 108)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 117)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 195)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 135)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 144)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 153)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 171)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 180)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 6)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 135)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 144)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 153)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 171)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 180)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 198)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 198)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 207)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 216)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 225)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 234)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 9)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 198)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 207)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 216)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 225)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 234)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 201)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 252)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 261)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 270)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 279)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 288)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 297)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 306)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 12)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 252)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 261)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 270)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 279)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 288)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 297)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 306)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 204)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 315)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 333)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 342)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 351)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 360)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 369)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 15)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 315)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 333)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 342)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 351)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 360)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 369)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 207)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 378)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 387)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 396)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 414)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 423)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 432)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 18)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 378)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 387)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 396)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 414)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 423)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 432)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 210)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 441)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 450)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 459)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 468)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 477)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 495)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 21)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 441)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 450)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 459)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 468)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 477)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 495)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 213)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 504)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 513)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 522)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 531)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 540)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 549)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 558)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 24)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 504)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 513)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 522)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 531)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 540)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 549)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 558)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 216)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 576)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 585)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 594)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 603)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 612)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 621)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 27)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 576)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 585)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 594)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 603)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 612)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 621)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 219)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 630)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 639)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 648)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 657)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 666)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 675)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 684)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 30)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 630)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 639)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 648)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 657)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 666)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 675)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 684)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 222)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 693)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 702)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 711)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 720)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 729)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 738)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 747)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 33)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 693)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 702)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 711)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 720)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 729)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 738)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 747)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 225)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 756)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 765)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 774)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 783)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 792)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 801)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 810)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 36)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 756)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 765)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 774)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 783)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 792)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 801)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 810)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 228)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 819)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 828)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 837)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 846)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 855)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 864)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 873)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 39)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 819)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 828)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 837)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 846)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 855)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 864)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 873)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 231)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 882)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 891)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 900)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 909)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 918)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 927)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 936)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 42)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 882)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 891)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 900)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 909)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 918)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 927)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 936)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 234)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 945)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 954)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 963)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 972)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 981)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 990)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 999)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 45)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 945)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 954)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 963)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 972)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 981)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 990)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 999)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 237)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1008)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1017)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1026)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1035)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1044)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1053)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1062)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 48)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1008)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1017)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1026)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1035)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1044)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1053)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1062)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 240)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1071)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1080)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1089)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1098)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1107)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1116)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1125)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 51)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1071)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1080)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1089)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1098)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1107)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1116)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1125)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 243)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1134)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1143)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1152)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1161)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1179)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1188)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 54)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1134)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1143)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1152)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1161)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1179)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1188)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 246)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1197)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1206)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1215)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1224)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1233)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1242)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 57)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1197)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1206)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1215)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1224)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1233)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1242)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 249)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1260)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1269)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1278)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1287)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1296)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1305)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1314)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 60)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1260)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1269)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1278)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1287)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1296)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1305)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1314)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 252)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1323)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1341)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1350)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1359)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1368)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1377)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 63)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1323)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1341)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1350)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1359)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1368)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1377)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 255)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1386)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1395)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1404)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1422)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1431)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1440)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 66)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1386)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1395)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1404)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1422)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1431)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1440)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 258)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1449)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1458)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1467)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1476)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1485)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1503)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 69)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1449)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1458)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1467)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1476)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1485)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1503)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 261)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1512)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1521)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1530)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1539)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1548)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1557)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1566)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 72)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1512)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1521)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1530)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1539)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1548)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1557)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1566)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 264)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1584)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1593)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1602)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1611)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1620)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1629)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 75)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1584)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1593)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1602)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1611)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1620)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1629)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 267)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1638)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1647)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1656)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1665)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1674)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1683)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1692)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 78)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1638)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1647)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1656)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1665)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1674)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1683)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1692)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 270)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1701)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1710)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1719)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1728)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1737)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1746)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1755)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 81)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1701)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1710)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1719)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1728)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1737)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1746)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1755)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 273)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1764)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1773)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1782)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1791)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1800)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1809)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1818)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 84)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1764)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1773)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1782)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1791)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1800)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1809)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1818)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 276)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1827)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1836)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1845)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1854)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1863)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1872)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1881)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 87)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1827)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1836)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1845)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1854)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1863)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1872)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1881)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 279)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1890)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1899)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1908)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1917)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1926)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1935)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1944)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 90)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1890)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1899)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1908)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1917)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1926)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1935)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1944)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 282)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1953)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1962)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1971)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1980)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1989)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1998)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 2007)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 93)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1953)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1962)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1971)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1980)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1989)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 1998)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*2016) + rx.outer.inner) + floormod(threadIdx.x, 7)) + 2007)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*384) + (rc.outer.inner*96)) + rx.outer.inner) + 285)]))
- }
+ attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1: Buffer(pad_temp.shared, float32, [504], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((1 <= (floordiv(threadIdx.x_1, 9) + ry.outer.outer)) && ((floordiv(threadIdx.x_1, 9) + ry.outer.outer) < 8)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_4 + (floordiv(threadIdx.x_1, 9)*7)) + cse_var_3) + floormod(threadIdx.x_1, 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 56)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 56), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 56), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 2), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 112)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 112), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 112), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 4), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 168)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 168), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 168), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 168), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 6), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 224)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 224), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 224), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 8), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 280)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 280), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 280), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 280), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 1), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 336)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 336), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 336), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 3), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 392)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 392), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 392), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 392), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 5), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ pad_temp.shared_1[(threadIdx.x_1 + 448)] = @tir.if_then_else(((((1 <= (floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer)) && ((floordiv(floormod((threadIdx.x_1 + 448), 63), 9) + ry.outer.outer) < 8)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_4 + (floordiv((threadIdx.x_1 + 448), 9)*7)) + cse_var_3) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1: Buffer(kernel.shared, float32, [384], [], scope="shared")[threadIdx.x_2] = kernel[((((((blockIdx.x*73728) + (floordiv(threadIdx.x_2, 24)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 56)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 7), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 56), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 14), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 112), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 168)] = kernel[(((((((blockIdx.x*73728) + (floordiv(floordiv(threadIdx.x_2, 8), 3)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3)) + 32256)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 28), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 224), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ kernel.shared_1[(threadIdx.x_2 + 280)] = kernel[((((((blockIdx.x*73728) + (floordiv((floordiv(threadIdx.x_2, 8) + 35), 3)*4608)) + cse_var_2) + (floordiv(floormod((threadIdx.x_2 + 280), 24), 3)*9)) + cse_var_1) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
+ if @tir.likely((threadIdx.x_2 < 48), dtype=bool) {
+ kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[(((((((blockIdx.x*73728) + (floordiv(floordiv(threadIdx.x_2, 8), 3)*4608)) + cse_var_2) + (floordiv(floormod(threadIdx.x_2, 24), 3)*9)) + cse_var_1) + floormod(threadIdx.x_2, 3)) + 64512)]
}
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(floormod(threadIdx.x, 7)*9)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[(floordiv(threadIdx.x, 7)*48)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 1)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 8)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 2)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[(floormod(threadIdx.x, 7)*9)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 1)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 2)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 3)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 4)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 5)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 6)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 24)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 25)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 8)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 26)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 63)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 3)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 4)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 71)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 5)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 63)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 64)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 65)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 66)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 67)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 68)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 69)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 27)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 70)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 28)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 71)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 29)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 126)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 6)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 7)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 134)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 8)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 126)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 127)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 128)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 129)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 130)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 131)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 132)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 30)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 133)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 31)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 134)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 32)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 189)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 9)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 10)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 197)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 11)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 189)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 190)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 191)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 192)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 193)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 194)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 195)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 33)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 196)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 34)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 197)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 35)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 252)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 12)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 13)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 260)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 14)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 252)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 253)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 254)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 255)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 256)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 257)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 258)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 36)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 259)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 37)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 260)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 38)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 315)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 15)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 16)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 323)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 17)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 315)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 316)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 317)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 318)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 319)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 320)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 321)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 39)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 322)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 40)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 323)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 41)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 378)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 18)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 19)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 386)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 20)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 378)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 379)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 380)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 381)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 382)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 383)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 384)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 42)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 385)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 43)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 386)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 44)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 441)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 21)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 22)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 449)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 23)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 441)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 442)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 443)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 444)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 445)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 446)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 447)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 45)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 448)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 46)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((floormod(threadIdx.x, 7)*9) + 449)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*48) + 47)]))
}
}
}
for (i1.inner: int32, 0, 2) {
- compute[((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7))] = max((conv2d_nchw_1[i1.inner] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 7)] = max((conv2d_nchw_1[(i1.inner + 2)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 14)] = max((conv2d_nchw_1[(i1.inner + 4)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 21)] = max((conv2d_nchw_1[(i1.inner + 6)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 28)] = max((conv2d_nchw_1[(i1.inner + 8)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 35)] = max((conv2d_nchw_1[(i1.inner + 10)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
- compute[(((((blockIdx.x*1568) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + floormod(threadIdx.x, 7)) + 42)] = max((conv2d_nchw_1[(i1.inner + 12)] + bias[(((blockIdx.x*32) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
+ for (i3.inner: int32, 0, 7) {
+ compute[(((((blockIdx.x*784) + (floordiv(threadIdx.x, 7)*98)) + (i1.inner*49)) + (floormod(threadIdx.x, 7)*7)) + i3.inner)] = max((conv2d_nchw_1[((i1.inner*7) + i3.inner)] + bias[(((blockIdx.x*16) + (floordiv(threadIdx.x, 7)*2)) + i1.inner)]), 0f32)
+ }
}
}
}
@@ -1167,7 +910,7 @@ cooperative fetching, unrolling and operator fusion.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.335 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.237 ms
</pre></div>
</div>
</div>
@@ -1197,36 +940,36 @@ conv2d_nchw_nn_o_i, conv2d_nchw_nn_i = s[conv2d_nchw].split(conv2d_nchw_nn, fact
conv2d_nchw_nn_o_o_i, conv2d_nchw_nn_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_i, factor=1)
conv2d_nchw_nn_o_o_o_i, conv2d_nchw_nn_o_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_o_i, factor=1)
conv2d_nchw_nn_o_o_o_o, conv2d_nchw_nn_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_nn_o_o_o_i, factor=1)
-conv2d_nchw_ff_o_i, conv2d_nchw_ff_i = s[conv2d_nchw].split(conv2d_nchw_ff, factor=2)
-conv2d_nchw_ff_o_o_i, conv2d_nchw_ff_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_i, factor=1)
-conv2d_nchw_ff_o_o_o_i, conv2d_nchw_ff_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_i, factor=16)
+conv2d_nchw_ff_o_i, conv2d_nchw_ff_i = s[conv2d_nchw].split(conv2d_nchw_ff, factor=1)
+conv2d_nchw_ff_o_o_i, conv2d_nchw_ff_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_i, factor=2)
+conv2d_nchw_ff_o_o_o_i, conv2d_nchw_ff_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_i, factor=8)
conv2d_nchw_ff_o_o_o_o, conv2d_nchw_ff_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_o_i, factor=1)
conv2d_nchw_yy_o_i, conv2d_nchw_yy_i = s[conv2d_nchw].split(conv2d_nchw_yy, factor=1)
conv2d_nchw_yy_o_o_i, conv2d_nchw_yy_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_i, factor=1)
-conv2d_nchw_yy_o_o_o_i, conv2d_nchw_yy_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_i, factor=1)
-conv2d_nchw_yy_o_o_o_o, conv2d_nchw_yy_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_o_i, factor=7)
+conv2d_nchw_yy_o_o_o_i, conv2d_nchw_yy_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_i, factor=7)
+conv2d_nchw_yy_o_o_o_o, conv2d_nchw_yy_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_yy_o_o_o_i, factor=1)
conv2d_nchw_xx_o_i, conv2d_nchw_xx_i = s[conv2d_nchw].split(conv2d_nchw_xx, factor=1)
-conv2d_nchw_xx_o_o_i, conv2d_nchw_xx_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_i, factor=1)
-conv2d_nchw_xx_o_o_o_i, conv2d_nchw_xx_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_i, factor=7)
+conv2d_nchw_xx_o_o_i, conv2d_nchw_xx_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_i, factor=7)
+conv2d_nchw_xx_o_o_o_i, conv2d_nchw_xx_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_i, factor=1)
conv2d_nchw_xx_o_o_o_o, conv2d_nchw_xx_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_xx_o_o_o_i, factor=1)
-conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=32)
-conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=2)
+conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=1)
+conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=8)
conv2d_nchw_ry_o_i, conv2d_nchw_ry_i = s[conv2d_nchw].split(conv2d_nchw_ry, factor=1)
conv2d_nchw_ry_o_o, conv2d_nchw_ry_o_i = s[conv2d_nchw].split(conv2d_nchw_ry_o_i, factor=1)
-conv2d_nchw_rx_o_i, conv2d_nchw_rx_i = s[conv2d_nchw].split(conv2d_nchw_rx, factor=1)
-conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=3)
+conv2d_nchw_rx_o_i, conv2d_nchw_rx_i = s[conv2d_nchw].split(conv2d_nchw_rx, factor=3)
+conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=1)
s[conv2d_nchw].reorder(conv2d_nchw_nn_o_o_o_o, conv2d_nchw_ff_o_o_o_o, conv2d_nchw_yy_o_o_o_o, conv2d_nchw_xx_o_o_o_o, conv2d_nchw_nn_o_o_o_i, conv2d_nchw_ff_o_o_o_i, conv2d_nchw_yy_o_o_o_i, conv2d_nchw_xx_o_o_o_i, conv2d_nchw_nn_o_o_i, conv2d_nchw_ff_o_o_i, conv2d_nchw_yy_o_o_i, conv2d_nchw_xx_o_o_i, conv2d_nchw_rc_o_o, conv2d_nchw_ry_o_o, conv2d_nchw_rx_o_o, conv2d_nchw_rc_o_i, conv2d_nchw_ry_o_i, conv2d_nchw_rx_o_i, conv2d_nchw_nn_o_i, conv2d_nchw_ff_o_i, conv2d_nchw_yy_o_i, conv2d_nc [...]
compute_i0_o_i, compute_i0_i = s[compute].split(compute_i0, factor=1)
compute_i0_o_o_i, compute_i0_o_i = s[compute].split(compute_i0_o_i, factor=1)
compute_i0_o_o_o, compute_i0_o_o_i = s[compute].split(compute_i0_o_o_i, factor=1)
compute_i1_o_i, compute_i1_i = s[compute].split(compute_i1, factor=2)
-compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=16)
+compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=8)
compute_i1_o_o_o, compute_i1_o_o_i = s[compute].split(compute_i1_o_o_i, factor=1)
compute_i2_o_i, compute_i2_i = s[compute].split(compute_i2, factor=1)
-compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=1)
-compute_i2_o_o_o, compute_i2_o_o_i = s[compute].split(compute_i2_o_o_i, factor=7)
-compute_i3_o_i, compute_i3_i = s[compute].split(compute_i3, factor=1)
-compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=7)
+compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=7)
+compute_i2_o_o_o, compute_i2_o_o_i = s[compute].split(compute_i2_o_o_i, factor=1)
+compute_i3_o_i, compute_i3_i = s[compute].split(compute_i3, factor=7)
+compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=1)
compute_i3_o_o_o, compute_i3_o_o_i = s[compute].split(compute_i3_o_o_i, factor=1)
s[compute].reorder(compute_i0_o_o_o, compute_i1_o_o_o, compute_i2_o_o_o, compute_i3_o_o_o, compute_i0_o_o_i, compute_i1_o_o_i, compute_i2_o_o_i, compute_i3_o_o_i, compute_i0_o_i, compute_i1_o_i, compute_i2_o_i, compute_i3_o_i, compute_i0_i, compute_i1_i, compute_i2_i, compute_i3_i)
s[conv2d_nchw].compute_at(s[compute], compute_i3_o_i)
@@ -1244,16 +987,16 @@ s[compute].bind(compute_i0_o_o_i_i1_o_o_i_fused_i2_o_o_i_fused_i3_o_o_i_fused, t
compute_i0_o_i_i1_o_i_fused_i2_o_i_fused_i3_o_i_fused = s[compute].fuse(compute_i0_o_i, compute_i1_o_i, compute_i2_o_i, compute_i3_o_i)
s[compute].bind(compute_i0_o_i_i1_o_i_fused_i2_o_i_fused_i3_o_i_fused, te.thread_axis("threadIdx.x"))
kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused = s[kernel_shared].fuse(kernel_shared_ax0, kernel_shared_ax1, kernel_shared_ax2, kernel_shared_ax3)
-kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=48)
+kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=1)
s[kernel_shared].vectorize(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i)
-kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=112)
+kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[kernel_shared].split(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=56)
s[kernel_shared].bind(kernel_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i, te.thread_axis("threadIdx.x"))
pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused = s[pad_temp_shared].fuse(pad_temp_shared_ax0, pad_temp_shared_ax1, pad_temp_shared_ax2, pad_temp_shared_ax3)
pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused, factor=1)
s[pad_temp_shared].vectorize(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_i)
-pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=112)
+pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_o, pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i = s[pad_temp_shared].split(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o, factor=56)
s[pad_temp_shared].bind(pad_temp_shared_ax0_ax1_fused_ax2_fused_ax3_fused_o_i, te.thread_axis("threadIdx.x"))
-s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "auto_unroll_max_step", 512)
+s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "auto_unroll_max_step", 1024)
s[conv2d_nchw].pragma(conv2d_nchw_nn_o_o_o_o, "unroll_explicit", True)
CUDA source code:
@@ -1271,624 +1014,388 @@ CUDA source code:
#define int64_t long long
#define uint64_t unsigned long long
#endif
-extern "C" __global__ void __launch_bounds__(112) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
+extern "C" __global__ void __launch_bounds__(56) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
float conv2d_nchw[14];
- __shared__ float pad_temp_shared[4032];
- __shared__ float kernel_shared[6144];
+ __shared__ float pad_temp_shared[504];
+ __shared__ float kernel_shared[384];
conv2d_nchw[0] = 0.000000e+00f;
- conv2d_nchw[2] = 0.000000e+00f;
- conv2d_nchw[4] = 0.000000e+00f;
- conv2d_nchw[6] = 0.000000e+00f;
- conv2d_nchw[8] = 0.000000e+00f;
- conv2d_nchw[10] = 0.000000e+00f;
- conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[1] = 0.000000e+00f;
+ conv2d_nchw[2] = 0.000000e+00f;
conv2d_nchw[3] = 0.000000e+00f;
+ conv2d_nchw[4] = 0.000000e+00f;
conv2d_nchw[5] = 0.000000e+00f;
+ conv2d_nchw[6] = 0.000000e+00f;
conv2d_nchw[7] = 0.000000e+00f;
+ conv2d_nchw[8] = 0.000000e+00f;
conv2d_nchw[9] = 0.000000e+00f;
+ conv2d_nchw[10] = 0.000000e+00f;
conv2d_nchw[11] = 0.000000e+00f;
+ conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[13] = 0.000000e+00f;
- for (int rc_outer_outer = 0; rc_outer_outer < 8; ++rc_outer_outer) {
+ for (int rc_outer_outer = 0; rc_outer_outer < 64; ++rc_outer_outer) {
for (int ry_outer_outer = 0; ry_outer_outer < 3; ++ry_outer_outer) {
__syncthreads();
- pad_temp_shared[((int)threadIdx.x)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 112) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 224) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 336) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 448) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 560)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 560) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 672)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 672) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 784)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 784) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 896)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 896) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1008)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 776)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1120)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1120) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1232)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1232) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1344)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1344) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1456)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1456) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1568)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1568) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1680)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1680) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1792)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1792) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 1904)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 1904) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2016)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2128)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2128) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2240)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2240) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2352)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2352) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2464)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2464) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2576)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2576) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2688)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2688) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2800)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2800) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 2912)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 2912) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3024)] = (((((1 <= (((((int)threadIdx.x) % 63) / 9) + ry_outer_outer)) && ((((((int)threadIdx.x) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3136)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3136) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3248)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3248) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3360)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3360) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3472)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3472) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3584)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3584) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3696)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3696) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3808)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3808) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
- pad_temp_shared[(((int)threadIdx.x) + 3920)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) + 3920) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
- kernel_shared[(((int)threadIdx.x) * 48)] = kernel[(((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3))];
- kernel_shared[((((int)threadIdx.x) * 48) + 1)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 1)];
- kernel_shared[((((int)threadIdx.x) * 48) + 2)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 2)];
- kernel_shared[((((int)threadIdx.x) * 48) + 3)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 9)];
- kernel_shared[((((int)threadIdx.x) * 48) + 4)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 10)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 11)];
- kernel_shared[((((int)threadIdx.x) * 48) + 6)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 18)];
- kernel_shared[((((int)threadIdx.x) * 48) + 7)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 19)];
- kernel_shared[((((int)threadIdx.x) * 48) + 8)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 20)];
- kernel_shared[((((int)threadIdx.x) * 48) + 9)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 27)];
- kernel_shared[((((int)threadIdx.x) * 48) + 10)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 28)];
- kernel_shared[((((int)threadIdx.x) * 48) + 11)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 29)];
- kernel_shared[((((int)threadIdx.x) * 48) + 12)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 36)];
- kernel_shared[((((int)threadIdx.x) * 48) + 13)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 37)];
- kernel_shared[((((int)threadIdx.x) * 48) + 14)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 38)];
- kernel_shared[((((int)threadIdx.x) * 48) + 15)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 45)];
- kernel_shared[((((int)threadIdx.x) * 48) + 16)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 46)];
- kernel_shared[((((int)threadIdx.x) * 48) + 17)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 47)];
- kernel_shared[((((int)threadIdx.x) * 48) + 18)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 54)];
- kernel_shared[((((int)threadIdx.x) * 48) + 19)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 55)];
- kernel_shared[((((int)threadIdx.x) * 48) + 20)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 56)];
- kernel_shared[((((int)threadIdx.x) * 48) + 21)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 63)];
- kernel_shared[((((int)threadIdx.x) * 48) + 22)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 64)];
- kernel_shared[((((int)threadIdx.x) * 48) + 23)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 65)];
- kernel_shared[((((int)threadIdx.x) * 48) + 24)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 72)];
- kernel_shared[((((int)threadIdx.x) * 48) + 25)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 73)];
- kernel_shared[((((int)threadIdx.x) * 48) + 26)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 74)];
- kernel_shared[((((int)threadIdx.x) * 48) + 27)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 81)];
- kernel_shared[((((int)threadIdx.x) * 48) + 28)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 82)];
- kernel_shared[((((int)threadIdx.x) * 48) + 29)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 83)];
- kernel_shared[((((int)threadIdx.x) * 48) + 30)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 90)];
- kernel_shared[((((int)threadIdx.x) * 48) + 31)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 91)];
- kernel_shared[((((int)threadIdx.x) * 48) + 32)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 92)];
- kernel_shared[((((int)threadIdx.x) * 48) + 33)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 99)];
- kernel_shared[((((int)threadIdx.x) * 48) + 34)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 100)];
- kernel_shared[((((int)threadIdx.x) * 48) + 35)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 101)];
- kernel_shared[((((int)threadIdx.x) * 48) + 36)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 108)];
- kernel_shared[((((int)threadIdx.x) * 48) + 37)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 109)];
- kernel_shared[((((int)threadIdx.x) * 48) + 38)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 110)];
- kernel_shared[((((int)threadIdx.x) * 48) + 39)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 117)];
- kernel_shared[((((int)threadIdx.x) * 48) + 40)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 118)];
- kernel_shared[((((int)threadIdx.x) * 48) + 41)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 119)];
- kernel_shared[((((int)threadIdx.x) * 48) + 42)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 126)];
- kernel_shared[((((int)threadIdx.x) * 48) + 43)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 127)];
- kernel_shared[((((int)threadIdx.x) * 48) + 44)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 128)];
- kernel_shared[((((int)threadIdx.x) * 48) + 45)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 135)];
- kernel_shared[((((int)threadIdx.x) * 48) + 46)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 136)];
- kernel_shared[((((int)threadIdx.x) * 48) + 47)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 137)];
- if (((int)threadIdx.x) < 16) {
- kernel_shared[((((int)threadIdx.x) * 48) + 5376)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129024)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5377)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129025)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5378)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129026)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5379)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129033)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5380)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129034)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5381)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129035)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5382)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129042)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5383)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129043)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5384)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129044)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5385)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129051)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5386)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129052)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5387)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129053)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5388)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129060)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5389)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129061)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5390)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129062)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5391)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129069)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5392)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129070)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5393)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129071)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5394)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129078)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5395)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129079)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5396)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129080)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5397)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129087)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5398)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129088)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5399)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129089)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5400)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129096)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5401)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129097)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5402)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129098)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5403)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129105)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5404)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129106)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5405)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129107)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5406)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129114)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5407)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129115)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5408)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129116)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5409)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129123)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5410)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129124)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5411)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129125)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5412)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129132)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5413)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129133)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5414)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129134)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5415)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129141)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5416)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129142)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5417)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129143)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5418)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129150)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5419)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129151)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5420)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129152)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5421)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129159)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5422)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129160)];
- kernel_shared[((((int)threadIdx.x) * 48) + 5423)] = kernel[((((((((int)blockIdx.x) * 147456) + ((((int)threadIdx.x) >> 2) * 4608)) + (rc_outer_outer * 576)) + ((((int)threadIdx.x) & 3) * 144)) + (ry_outer_outer * 3)) + 129161)];
+ pad_temp_shared[((int)threadIdx.x)] = (((((1 <= ((((int)threadIdx.x) / 9) + ry_outer_outer)) && (((((int)threadIdx.x) / 9) + ry_outer_outer) < 8)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + ((((int)threadIdx.x) / 9) * 7)) + (ry_outer_outer * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 56)] = (((((1 <= ((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 56) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 56) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((1 <= ((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 49) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 112) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 168)] = (((((1 <= ((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 42) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 168) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((1 <= ((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 35) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 224) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 280)] = (((((1 <= ((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 28) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 280) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((1 <= ((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 21) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 336) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 392)] = (((((1 <= ((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 14) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 392) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((1 <= ((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer)) && (((((((int)threadIdx.x) + 7) % 63) / 9) + ry_outer_outer) < 8)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 392) + (((((int)threadIdx.x) + 448) / 9) * 7)) + (ry_outer_outer * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ kernel_shared[((int)threadIdx.x)] = kernel[((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 56)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 56) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 8) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 112)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 112) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 16) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 168)] = kernel[(((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3)) + 32256)];
+ kernel_shared[(((int)threadIdx.x) + 224)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 224) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 8) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 280)] = kernel[((((((((int)blockIdx.x) * 73728) + (((((int)threadIdx.x) + 280) / 24) * 4608)) + (rc_outer_outer * 72)) + ((((((int)threadIdx.x) + 16) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ if (((int)threadIdx.x) < 48) {
+ kernel_shared[(((int)threadIdx.x) + 336)] = kernel[(((((((((int)blockIdx.x) * 73728) + ((((int)threadIdx.x) / 24) * 4608)) + (rc_outer_outer * 72)) + (((((int)threadIdx.x) % 24) / 3) * 9)) + (ry_outer_outer * 3)) + (((int)threadIdx.x) % 3)) + 64512)];
}
__syncthreads();
- for (int rc_outer_inner = 0; rc_outer_inner < 2; ++rc_outer_inner) {
- for (int rx_outer_inner = 0; rx_outer_inner < 3; ++rx_outer_inner) {
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7))] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 9)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 18)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 27)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 36)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 45)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 54)] * kernel_shared[((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7))] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 9)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 18)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 27)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 36)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 45)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 54)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 192)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 72)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 90)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 99)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 108)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 117)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 3)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 72)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 90)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 99)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 108)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 117)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 195)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 135)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 144)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 153)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 171)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 180)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 6)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 135)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 144)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 153)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 171)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 180)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 198)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 198)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 207)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 216)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 225)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 234)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 9)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 198)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 207)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 216)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 225)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 234)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 201)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 252)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 261)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 270)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 279)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 288)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 297)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 306)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 12)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 252)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 261)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 270)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 279)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 288)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 297)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 306)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 204)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 315)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 333)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 342)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 351)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 360)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 369)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 15)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 315)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 333)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 342)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 351)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 360)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 369)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 207)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 378)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 387)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 396)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 414)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 423)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 432)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 18)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 378)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 387)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 396)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 414)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 423)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 432)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 210)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 441)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 450)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 459)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 468)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 477)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 495)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 21)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 441)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 450)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 459)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 468)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 477)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 495)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 213)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 504)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 513)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 522)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 531)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 540)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 549)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 558)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 24)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 504)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 513)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 522)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 531)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 540)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 549)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 558)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 216)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 576)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 585)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 594)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 603)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 612)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 621)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 27)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 576)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 585)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 594)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 603)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 612)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 621)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 219)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 630)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 639)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 648)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 657)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 666)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 675)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 684)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 30)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 630)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 639)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 648)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 657)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 666)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 675)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 684)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 222)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 693)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 702)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 711)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 720)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 729)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 738)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 747)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 33)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 693)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 702)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 711)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 720)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 729)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 738)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 747)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 225)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 756)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 765)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 774)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 783)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 792)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 801)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 810)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 36)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 756)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 765)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 774)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 783)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 792)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 801)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 810)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 228)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 819)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 828)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 837)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 846)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 855)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 864)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 873)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 39)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 819)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 828)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 837)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 846)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 855)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 864)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 873)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 231)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 882)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 891)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 900)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 909)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 918)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 927)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 936)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 42)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 882)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 891)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 900)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 909)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 918)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 927)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 936)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 234)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 945)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 954)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 963)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 972)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 981)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 990)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 999)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 45)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 945)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 954)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 963)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 972)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 981)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 990)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 999)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 237)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1008)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1017)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1026)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1035)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1044)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1053)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1062)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 48)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1008)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1017)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1026)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1035)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1044)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1053)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1062)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 240)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1071)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1080)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1089)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1098)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1107)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1116)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1125)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 51)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1071)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1080)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1089)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1098)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1107)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1116)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1125)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 243)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1134)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1143)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1152)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1161)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1179)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1188)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 54)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1134)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1143)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1152)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1161)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1179)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1188)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 246)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1197)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1206)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1215)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1224)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1233)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1242)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 57)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1197)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1206)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1215)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1224)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1233)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1242)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 249)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1260)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1269)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1278)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1287)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1296)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1305)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1314)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 60)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1260)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1269)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1278)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1287)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1296)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1305)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1314)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 252)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1323)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1341)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1350)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1359)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1368)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1377)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 63)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1323)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1341)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1350)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1359)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1368)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1377)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 255)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1386)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1395)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1404)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1422)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1431)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1440)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 66)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1386)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1395)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1404)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1422)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1431)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1440)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 258)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1449)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1458)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1467)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1476)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1485)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1503)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 69)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1449)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1458)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1467)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1476)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1485)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1503)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 261)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1512)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1521)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1530)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1539)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1548)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1557)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1566)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 72)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1512)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1521)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1530)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1539)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1548)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1557)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1566)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 264)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1584)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1593)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1602)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1611)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1620)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1629)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 75)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1584)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1593)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1602)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1611)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1620)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1629)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 267)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1638)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1647)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1656)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1665)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1674)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1683)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1692)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 78)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1638)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1647)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1656)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1665)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1674)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1683)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1692)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 270)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1701)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1710)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1719)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1728)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1737)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1746)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1755)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 81)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1701)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1710)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1719)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1728)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1737)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1746)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1755)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 273)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1764)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1773)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1782)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1791)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1800)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1809)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1818)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 84)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1764)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1773)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1782)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1791)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1800)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1809)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1818)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 276)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1827)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1836)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1845)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1854)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1863)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1872)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1881)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 87)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1827)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1836)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1845)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1854)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1863)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1872)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1881)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 279)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1890)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1899)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1908)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1917)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1926)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1935)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1944)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 90)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1890)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1899)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1908)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1917)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1926)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1935)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1944)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 282)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1953)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1962)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1971)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1980)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1989)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1998)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 2007)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 93)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1953)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1962)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1971)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1980)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1989)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 1998)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 2016) + rx_outer_inner) + (((int)threadIdx.x) % 7)) + 2007)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 384) + (rc_outer_inner * 96)) + rx_outer_inner) + 285)]));
- }
- }
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((int)threadIdx.x) % 7) * 9)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[((((int)threadIdx.x) / 7) * 48)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 1)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 8)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 2)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((int)threadIdx.x) % 7) * 9)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 1)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 2)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 3)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 4)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 5)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 6)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 24)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 25)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 8)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 26)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 63)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 3)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 4)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 71)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 5)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 63)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 64)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 65)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 66)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 67)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 68)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 69)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 27)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 70)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 28)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 71)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 29)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 126)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 6)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 7)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 134)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 8)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 126)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 127)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 128)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 129)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 130)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 131)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 132)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 30)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 133)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 31)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 134)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 32)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 189)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 9)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 10)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 197)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 11)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 189)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 190)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 191)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 192)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 193)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 194)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 195)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 33)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 196)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 34)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 197)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 35)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 252)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 12)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 13)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 260)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 14)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 252)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 253)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 254)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 255)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 256)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 257)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 258)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 36)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 259)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 37)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 260)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 38)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 315)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 15)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 16)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 323)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 17)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 315)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 316)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 317)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 318)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 319)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 320)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 321)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 39)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 322)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 40)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 323)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 41)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 378)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 18)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 19)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 386)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 20)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 378)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 379)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 380)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 381)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 382)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 383)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 384)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 42)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 385)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 43)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 386)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 44)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 441)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 21)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 22)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 449)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 23)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 441)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 442)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 443)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 444)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 445)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 446)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 447)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 45)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 448)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 46)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[(((((int)threadIdx.x) % 7) * 9) + 449)] * kernel_shared[(((((int)threadIdx.x) / 7) * 48) + 47)]));
}
}
for (int i1_inner = 0; i1_inner < 2; ++i1_inner) {
- compute[((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7))] = max((conv2d_nchw[i1_inner] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 7)] = max((conv2d_nchw[(i1_inner + 2)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 14)] = max((conv2d_nchw[(i1_inner + 4)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 21)] = max((conv2d_nchw[(i1_inner + 6)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 28)] = max((conv2d_nchw[(i1_inner + 8)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 35)] = max((conv2d_nchw[(i1_inner + 10)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
- compute[(((((((int)blockIdx.x) * 1568) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + (((int)threadIdx.x) % 7)) + 42)] = max((conv2d_nchw[(i1_inner + 12)] + bias[(((((int)blockIdx.x) * 32) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
+ for (int i3_inner = 0; i3_inner < 7; ++i3_inner) {
+ compute[(((((((int)blockIdx.x) * 784) + ((((int)threadIdx.x) / 7) * 98)) + (i1_inner * 49)) + ((((int)threadIdx.x) % 7) * 7)) + i3_inner)] = max((conv2d_nchw[((i1_inner * 7) + i3_inner)] + bias[(((((int)blockIdx.x) * 16) + ((((int)threadIdx.x) / 7) * 2)) + i1_inner)]), 0.000000e+00f);
+ }
}
}
</pre></div>
@@ -1924,10 +1431,9 @@ In the example below we resume the status and do more 5 trials.</p>
/usr/local/lib/python3.7/dist-packages/xgboost/training.py:17: UserWarning: Old style callback is deprecated. See: https://xgboost.readthedocs.io/en/latest/python/callbacks.html
warnings.warn(f'Old style callback is deprecated. See: {link}', UserWarning)
Get devices for measurement successfully!
-.T
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 56.543 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 21.544 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/e3e540f3b477c0c52d8eb73e674e8ffd/tune_conv2d_layer_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_conv2d_layer_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
index fc3c919c1..e0587b78e 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -876,7 +876,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 9.7232 9.7300 9.7633 9.6762 0.0359
+ 9.6927 9.6963 9.7222 9.6595 0.0257
</pre></div>
</div>
</div>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 33af7f99a..2f24c5bf2 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -895,7 +895,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 752.2653 753.4387 753.7569 749.6003 1.8889
+ 763.6349 761.5681 767.8654 761.4712 2.9917
</pre></div>
</div>
</div>
@@ -917,7 +917,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 17.854 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 18.969 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-x86-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/e416b94ca1090b0897c0f6e0df95b911/tune_network_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_x86.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html b/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
index 16c60141e..d49eeff11 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
@@ -600,28 +600,118 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
placeholder_4: Buffer(placeholder_14: Pointer(float32), float32, [65536], []),
compute: Buffer(compute_2: Pointer(float32), float32, [65536], [])}
buffer_map = {placeholder_5: placeholder, placeholder_6: placeholder_1, placeholder_7: placeholder_2, placeholder_8: placeholder_3, placeholder_9: placeholder_4, compute_1: compute}
- preflattened_buffer_map = {placeholder_8: placeholder_15: Buffer(placeholder_13, int32, [33], []), placeholder_7: placeholder_16: Buffer(placeholder_12, int32, [4916], []), placeholder_9: placeholder_17: Buffer(placeholder_14, float32, [128, 512], []), placeholder_5: placeholder_18: Buffer(placeholder_10, float32, [128, 256], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_6: placeholder_19: Buffer(placeholder_11, float32, [4916, 16, 1], [])} {
- for (i0.outer.i1.outer.fused: int32, 0, 64) "parallel" {
- allocate(compute_4: Pointer(global float32), float32, [1024]), storage_scope = global {
- for (i.outer.inner: int32, 0, 32) {
- for (i.inner.init: int32, 0, 2) {
- for (j.init: int32, 0, 16) {
- compute_5: Buffer(compute_4, float32, [1024], [])[(((i.outer.inner*32) + (i.inner.init*16)) + j.init)] = 0f32
- }
- }
- for (elem_idx: int32, 0, let cse_var_1: int32 = floormod(i0.outer.i1.outer.fused, 32) in (placeholder_3[(cse_var_1 + 1)] - placeholder_3[cse_var_1])) {
- for (i.inner: int32, 0, 2) {
- for (j: int32, 0, 16) {
- let cse_var_3: int32 = floormod(i0.outer.i1.outer.fused, 32)
- let cse_var_2: int32 = (((i.outer.inner*32) + (i.inner*16)) + j)
- compute_5[cse_var_2] = (compute_5[cse_var_2] + (placeholder_1[(((placeholder_3[cse_var_3]*16) + (elem_idx*16)) + j)]*max(placeholder[((((floordiv(i0.outer.i1.outer.fused, 32)*16384) + (i.outer.inner*512)) + (i.inner*256)) + placeholder_2[(placeholder_3[cse_var_3] + elem_idx)])], 0f32)))
+ preflattened_buffer_map = {compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_8: placeholder_15: Buffer(placeholder_13, int32, [33], []), placeholder_9: placeholder_16: Buffer(placeholder_14, float32, [128, 512], []), placeholder_5: placeholder_17: Buffer(placeholder_10, float32, [128, 256], []), placeholder_7: placeholder_18: Buffer(placeholder_12, int32, [4916], []), placeholder_6: placeholder_19: Buffer(placeholder_11, float32, [4916, 16, 1], [])} {
+ for (i0.outer.i1.outer.fused: int32, 0, 32) "parallel" {
+ allocate(compute_4: Pointer(global float32), float32, [2048]), storage_scope = global {
+ for (i.outer.inner: int32, 0, 64) {
+ let cse_var_1: int32 = (i.outer.inner*32)
+ {
+ compute_5: Buffer(compute_4, float32, [2048], [])[cse_var_1] = 0f32
+ compute_5[(cse_var_1 + 1)] = 0f32
+ compute_5[(cse_var_1 + 2)] = 0f32
+ compute_5[(cse_var_1 + 3)] = 0f32
+ compute_5[(cse_var_1 + 4)] = 0f32
+ compute_5[(cse_var_1 + 5)] = 0f32
+ compute_5[(cse_var_1 + 6)] = 0f32
+ compute_5[(cse_var_1 + 7)] = 0f32
+ compute_5[(cse_var_1 + 8)] = 0f32
+ compute_5[(cse_var_1 + 9)] = 0f32
+ compute_5[(cse_var_1 + 10)] = 0f32
+ compute_5[(cse_var_1 + 11)] = 0f32
+ compute_5[(cse_var_1 + 12)] = 0f32
+ compute_5[(cse_var_1 + 13)] = 0f32
+ compute_5[(cse_var_1 + 14)] = 0f32
+ compute_5[(cse_var_1 + 15)] = 0f32
+ compute_5[(cse_var_1 + 16)] = 0f32
+ compute_5[(cse_var_1 + 17)] = 0f32
+ compute_5[(cse_var_1 + 18)] = 0f32
+ compute_5[(cse_var_1 + 19)] = 0f32
+ compute_5[(cse_var_1 + 20)] = 0f32
+ compute_5[(cse_var_1 + 21)] = 0f32
+ compute_5[(cse_var_1 + 22)] = 0f32
+ compute_5[(cse_var_1 + 23)] = 0f32
+ compute_5[(cse_var_1 + 24)] = 0f32
+ compute_5[(cse_var_1 + 25)] = 0f32
+ compute_5[(cse_var_1 + 26)] = 0f32
+ compute_5[(cse_var_1 + 27)] = 0f32
+ compute_5[(cse_var_1 + 28)] = 0f32
+ compute_5[(cse_var_1 + 29)] = 0f32
+ compute_5[(cse_var_1 + 30)] = 0f32
+ compute_5[(cse_var_1 + 31)] = 0f32
+ for (elem_idx: int32, 0, (placeholder_3[(i0.outer.i1.outer.fused + 1)] - placeholder_3[i0.outer.i1.outer.fused])) {
+ let cse_var_34: int32 = (cse_var_1 + 10)
+ let cse_var_33: int32 = (cse_var_1 + 11)
+ let cse_var_32: int32 = (cse_var_1 + 12)
+ let cse_var_31: int32 = (cse_var_1 + 13)
+ let cse_var_30: int32 = (cse_var_1 + 14)
+ let cse_var_29: int32 = (cse_var_1 + 15)
+ let cse_var_28: int32 = (cse_var_1 + 16)
+ let cse_var_27: int32 = (cse_var_1 + 17)
+ let cse_var_26: int32 = (cse_var_1 + 18)
+ let cse_var_25: int32 = (cse_var_1 + 19)
+ let cse_var_24: int32 = (cse_var_1 + 2)
+ let cse_var_23: int32 = (cse_var_1 + 20)
+ let cse_var_22: int32 = (cse_var_1 + 21)
+ let cse_var_21: int32 = (cse_var_1 + 22)
+ let cse_var_20: int32 = (cse_var_1 + 23)
+ let cse_var_19: int32 = (cse_var_1 + 1)
+ let cse_var_18: int32 = (i.outer.inner*512)
+ let cse_var_17: int32 = (elem_idx*16)
+ let cse_var_16: int32 = (cse_var_1 + 9)
+ let cse_var_15: int32 = (cse_var_1 + 8)
+ let cse_var_14: int32 = (cse_var_1 + 7)
+ let cse_var_13: int32 = (cse_var_1 + 6)
+ let cse_var_12: int32 = (cse_var_1 + 5)
+ let cse_var_11: int32 = (cse_var_1 + 24)
+ let cse_var_10: int32 = (cse_var_1 + 31)
+ let cse_var_9: int32 = (cse_var_1 + 30)
+ let cse_var_8: int32 = (cse_var_1 + 3)
+ let cse_var_7: int32 = (cse_var_1 + 29)
+ let cse_var_6: int32 = (cse_var_1 + 28)
+ let cse_var_5: int32 = (cse_var_1 + 27)
+ let cse_var_4: int32 = (cse_var_1 + 26)
+ let cse_var_3: int32 = (cse_var_1 + 25)
+ let cse_var_2: int32 = (cse_var_1 + 4)
+ {
+ compute_5[cse_var_1] = (compute_5[cse_var_1] + (placeholder_1[((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_19] = (compute_5[cse_var_19] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 1)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_24] = (compute_5[cse_var_24] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 2)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 3)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_2] = (compute_5[cse_var_2] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 4)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 5)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 6)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 7)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 8)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 9)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_34] = (compute_5[cse_var_34] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 10)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_33] = (compute_5[cse_var_33] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 11)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_32] = (compute_5[cse_var_32] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 12)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_31] = (compute_5[cse_var_31] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 13)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_30] = (compute_5[cse_var_30] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 14)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_29] = (compute_5[cse_var_29] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 15)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)])], 0f32)))
+ compute_5[cse_var_28] = (compute_5[cse_var_28] + (placeholder_1[((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_27] = (compute_5[cse_var_27] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 1)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_26] = (compute_5[cse_var_26] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 2)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_25] = (compute_5[cse_var_25] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 3)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_23] = (compute_5[cse_var_23] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 4)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_22] = (compute_5[cse_var_22] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 5)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_21] = (compute_5[cse_var_21] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 6)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_20] = (compute_5[cse_var_20] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 7)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 8)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 9)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 10)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 11)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 12)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 13)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 14)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
+ compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[i0.outer.i1.outer.fused]*16) + cse_var_17) + 15)]*max(placeholder[((cse_var_18 + placeholder_2[(placeholder_3[i0.outer.i1.outer.fused] + elem_idx)]) + 256)], 0f32)))
}
}
}
}
- for (i0.inner: int32, 0, 64) {
- let cse_var_4: int32 = (((floordiv(i0.outer.i1.outer.fused, 32)*32768) + (i0.inner*512)) + (floormod(i0.outer.i1.outer.fused, 32)*16))
- compute[ramp(cse_var_4, 1, 16)] = max((compute_5[ramp((i0.inner*16), 1, 16)] + placeholder_4[ramp(cse_var_4, 1, 16)]), broadcast(0f32, 16))
+ for (i0.inner: int32, 0, 128) {
+ let cse_var_35: int32 = ((i0.inner*512) + (i0.outer.i1.outer.fused*16))
+ compute[ramp(cse_var_35, 1, 16)] = max((compute_5[ramp((i0.inner*16), 1, 16)] + placeholder_4[ramp(cse_var_35, 1, 16)]), broadcast(0f32, 16))
}
}
}
@@ -660,7 +750,7 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 2.156 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 3.531 ms
</pre></div>
</div>
<div class="admonition note">
diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index ac3815e80..f88a94764 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -300,13 +300,13 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:43.995</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:45.239</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:43.145</strong>: <a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></li>
-<li><p><strong>00:00.219</strong>: <a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></li>
-<li><p><strong>00:00.215</strong>: <a class="reference internal" href="tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_cuda.py</span></code>)</p></li>
-<li><p><strong>00:00.211</strong>: <a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></li>
-<li><p><strong>00:00.206</strong>: <a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></li>
+<li><p><strong>00:44.354</strong>: <a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></li>
+<li><p><strong>00:00.231</strong>: <a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></li>
+<li><p><strong>00:00.221</strong>: <a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></li>
+<li><p><strong>00:00.218</strong>: <a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></li>
+<li><p><strong>00:00.216</strong>: <a class="reference internal" href="tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_cuda.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index c452b7c4b..28a31afec 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -1142,8 +1142,8 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 4, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2885496
-No: 6 GFLOPS: 95.40/95.40 result: MeasureResult(costs=(0.0024265185,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.585728645324707, timestamp=1652526966.1559315) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3754080
-No: 7 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 6 GFLOPS: 109.87/109.87 result: MeasureResult(costs=(0.0021071236875,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.822526216506958, timestamp=1652561495.3043504) [('tile_f', [-1, 1, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3754080
+No: 7 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1266,7 +1266,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 256, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6225319
-No: 8 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 8 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1389,7 +1389,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,943546
-No: 9 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 9 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1512,7 +1512,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 16, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2868708
-No: 10 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 10 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 142, in build
res = future.result()
File "/usr/lib/python3.7/concurrent/futures/_base.py", line 435, in result
@@ -1530,7 +1530,7 @@ No: 10 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
TimeoutError
[('tile_f', [-1, 32, 2, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4691833
-No: 11 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 11 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1653,7 +1653,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 2, 64]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1042124
-No: 12 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 12 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1776,7 +1776,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10013405
-No: 13 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 13 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -1899,7 +1899,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 32]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6732082
-No: 14 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 14 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2022,7 +2022,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 4, 32]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7536735
-No: 15 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 15 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2145,7 +2145,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,482121
-No: 16 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 16 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2268,7 +2268,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2824525
-No: 17 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 17 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2391,7 +2391,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 64, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4559286
-No: 18 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 18 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 571, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 523, in _build_func_common
@@ -2514,7 +2514,7 @@ Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 854, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 32, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 512]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9677544
-No: 19 GFLOPS: 0.00/95.40 result: Traceback (most recent call last):
+No: 19 GFLOPS: 0.00/109.87 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 721, in __call__
yield remote, remote.load_module(os.path.split(build_result.filename)[1])
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 685, in run_through_rpc
@@ -2602,7 +2602,7 @@ tvm._ffi.base.TVMError: Traceback (most recent call last):
15: _PyEval_EvalFrameDefault
14: 0x0000000000537c30
13: _PyObject_FastCallKeywords
- 12: 0x00007f4eda07efa2
+ 12: 0x00007f457bc49fa2
11: _ctypes_callproc
10: ffi_call
9: ffi_call_unix64
@@ -2667,7 +2667,7 @@ Traceback (most recent call last):
21: _PyFunction_FastCallKeywords
20: _PyEval_EvalFrameDefault
19: _PyFunction_FastCall [('tile_f', [-1, 8, 2, 16]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6390073
-No: 20 GFLOPS: 144.28/144.28 result: MeasureResult(costs=(0.0016045200099999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4150333404541016, timestamp=1652526991.9730077) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
+No: 20 GFLOPS: 144.14/144.14 result: MeasureResult(costs=(0.0016061130199999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4648540019989014, timestamp=1652561521.8656564) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
</pre></div>
</div>
<p>Finally we can inspect the best config from log file, check correctness,
@@ -2706,7 +2706,7 @@ and measure running time.</p>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Best config:
[('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9881539
-Time cost of this operator: 0.001995
+Time cost of this operator: 0.001964
</pre></div>
</div>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autotvm-tune-conv2d-cuda-py">
diff --git a/docs/how_to/work_with_microtvm/micro_autotune.html b/docs/how_to/work_with_microtvm/micro_autotune.html
index 4e496f87f..7380c2cfc 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -553,10 +553,10 @@ the tuned operator.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs
--------- --- -------- ------- ----- ------ -------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 314.4 98.745 (1, 2, 10, 10, 3) 2 1
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.076 0.966 (1, 6, 10, 10) 1 1
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.921 0.289 (1, 1, 10, 10, 3) 1 1
-Total_time - 318.397 - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 311.5 98.743 (1, 2, 10, 10, 3) 2 1
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.064 0.971 (1, 6, 10, 10) 1 1
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.901 0.286 (1, 1, 10, 10, 3) 1 1
+Total_time - 315.465 - - - -
</pre></div>
</div>
</div>
@@ -608,10 +608,10 @@ Total_time -
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs
--------- --- -------- ------- ----- ------ -------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 79.6 96.755 (1, 6, 10, 10, 1) 2 1
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.738 2.112 (1, 6, 10, 10) 1 1
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.931 1.132 (1, 1, 10, 10, 3) 1 1
-Total_time - 82.269 - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 78.2 96.734 (1, 6, 10, 10, 1) 2 1
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.74 2.152 (1, 6, 10, 10) 1 1
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.901 1.114 (1, 1, 10, 10, 3) 1 1
+Total_time - 80.841 - - - -
</pre></div>
</div>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-autotune-py">
diff --git a/docs/how_to/work_with_microtvm/sg_execution_times.html b/docs/how_to/work_with_microtvm/sg_execution_times.html
index e8bce47f7..9387bca48 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -300,13 +300,13 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-microtvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:45.958</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>00:47.023</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:41.745</strong>: <a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">Autotuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></li>
-<li><p><strong>00:03.629</strong>: <a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">microTVM with TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></li>
-<li><p><strong>00:00.197</strong>: <a class="reference internal" href="micro_tvmc.html#sphx-glr-how-to-work-with-microtvm-micro-tvmc-py"><span class="std std-ref">Executing a Tiny Model with TVMC Micro</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tvmc.py</span></code>)</p></li>
-<li><p><strong>00:00.194</strong>: <a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></li>
-<li><p><strong>00:00.193</strong>: <a class="reference internal" href="micro_reference_vm.html#sphx-glr-how-to-work-with-microtvm-micro-reference-vm-py"><span class="std std-ref">microTVM Reference Virtual Machines</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_reference_vm.py</span></code>)</p></li>
+<li><p><strong>00:42.749</strong>: <a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">Autotuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></li>
+<li><p><strong>00:03.668</strong>: <a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">microTVM with TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></li>
+<li><p><strong>00:00.203</strong>: <a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></li>
+<li><p><strong>00:00.203</strong>: <a class="reference internal" href="micro_tvmc.html#sphx-glr-how-to-work-with-microtvm-micro-tvmc-py"><span class="std std-ref">Executing a Tiny Model with TVMC Micro</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tvmc.py</span></code>)</p></li>
+<li><p><strong>00:00.200</strong>: <a class="reference internal" href="micro_reference_vm.html#sphx-glr-how-to-work-with-microtvm-micro-reference-vm-py"><span class="std std-ref">microTVM Reference Virtual Machines</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_reference_vm.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/work_with_relay/sg_execution_times.html b/docs/how_to/work_with_relay/sg_execution_times.html
index 924f5908b..7ef92e92c 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -300,11 +300,11 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-relay-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:08.566</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:06.139</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:06.686</strong>: <a class="reference internal" href="using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_external_lib.py</span></code>)</p></li>
-<li><p><strong>00:01.665</strong>: <a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></li>
-<li><p><strong>00:00.215</strong>: <a class="reference internal" href="using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_relay_viz.py</span></code>)</p></li>
+<li><p><strong>00:04.011</strong>: <a class="reference internal" href="using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_external_lib.py</span></code>)</p></li>
+<li><p><strong>00:01.905</strong>: <a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></li>
+<li><p><strong>00:00.224</strong>: <a class="reference internal" href="using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_relay_viz.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/work_with_schedules/sg_execution_times.html b/docs/how_to/work_with_schedules/sg_execution_times.html
index 0ae920f3b..25682d542 100644
--- a/docs/how_to/work_with_schedules/sg_execution_times.html
+++ b/docs/how_to/work_with_schedules/sg_execution_times.html
@@ -300,16 +300,16 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-schedules-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:05.642</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:05.778</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:02.086</strong>: <a class="reference internal" href="intrin_math.html#sphx-glr-how-to-work-with-schedules-intrin-math-py"><span class="std std-ref">Intrinsics and Math Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">intrin_math.py</span></code>)</p></li>
-<li><p><strong>00:01.093</strong>: <a class="reference internal" href="tensorize.html#sphx-glr-how-to-work-with-schedules-tensorize-py"><span class="std std-ref">Use Tensorize to Leverage Hardware Intrinsics</span></a> (<code class="docutils literal notranslate"><span class="pre">tensorize.py</span></code>)</p></li>
-<li><p><strong>00:00.723</strong>: <a class="reference internal" href="reduction.html#sphx-glr-how-to-work-with-schedules-reduction-py"><span class="std std-ref">Reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">reduction.py</span></code>)</p></li>
-<li><p><strong>00:00.721</strong>: <a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></li>
-<li><p><strong>00:00.310</strong>: <a class="reference internal" href="extern_op.html#sphx-glr-how-to-work-with-schedules-extern-op-py"><span class="std std-ref">External Tensor Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">extern_op.py</span></code>)</p></li>
-<li><p><strong>00:00.242</strong>: <a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></li>
-<li><p><strong>00:00.237</strong>: <a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></li>
-<li><p><strong>00:00.231</strong>: <a class="reference internal" href="tuple_inputs.html#sphx-glr-how-to-work-with-schedules-tuple-inputs-py"><span class="std std-ref">Compute and Reduce with Tuple Inputs</span></a> (<code class="docutils literal notranslate"><span class="pre">tuple_inputs.py</span></code>)</p></li>
+<li><p><strong>00:02.206</strong>: <a class="reference internal" href="intrin_math.html#sphx-glr-how-to-work-with-schedules-intrin-math-py"><span class="std std-ref">Intrinsics and Math Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">intrin_math.py</span></code>)</p></li>
+<li><p><strong>00:01.046</strong>: <a class="reference internal" href="tensorize.html#sphx-glr-how-to-work-with-schedules-tensorize-py"><span class="std std-ref">Use Tensorize to Leverage Hardware Intrinsics</span></a> (<code class="docutils literal notranslate"><span class="pre">tensorize.py</span></code>)</p></li>
+<li><p><strong>00:00.754</strong>: <a class="reference internal" href="reduction.html#sphx-glr-how-to-work-with-schedules-reduction-py"><span class="std std-ref">Reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">reduction.py</span></code>)</p></li>
+<li><p><strong>00:00.753</strong>: <a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></li>
+<li><p><strong>00:00.311</strong>: <a class="reference internal" href="extern_op.html#sphx-glr-how-to-work-with-schedules-extern-op-py"><span class="std std-ref">External Tensor Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">extern_op.py</span></code>)</p></li>
+<li><p><strong>00:00.252</strong>: <a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></li>
+<li><p><strong>00:00.233</strong>: <a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></li>
+<li><p><strong>00:00.222</strong>: <a class="reference internal" href="tuple_inputs.html#sphx-glr-how-to-work-with-schedules-tuple-inputs-py"><span class="std std-ref">Compute and Reduce with Tuple Inputs</span></a> (<code class="docutils literal notranslate"><span class="pre">tuple_inputs.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/how_to/work_with_schedules/tensorize.html b/docs/how_to/work_with_schedules/tensorize.html
index 18379748c..6be9a45a9 100644
--- a/docs/how_to/work_with_schedules/tensorize.html
+++ b/docs/how_to/work_with_schedules/tensorize.html
@@ -552,7 +552,7 @@ The importing needs to happen before the tensorized GEMV being executed.</p>
C: Buffer(C_2: Pointer(float32), float32, [524288], [])}
buffer_map = {A_1: A, B_1: B, C_1: C}
preflattened_buffer_map = {A_1: A_3: Buffer(A_2, float32, [1024, 64], []), B_1: B_3: Buffer(B_2, float32, [512, 64], []), C_1: C_3: Buffer(C_2, float32, [1024, 512], [])} {
- attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmpnzc3bgxm/input0.cc'\nsource_filename = \"/tmp/tmpnzc3bgxm/input0.cc\"\ntarget datalayout = \"e-m:e-i64:64-f80:128-n8:16:32:64-S128\"\ntarget triple = \"x86_64-pc-linux-gnu\"\n\n; Function Attrs: noinline nounwind optnone uwtable\ndefine dso_local i32 @gemv_update(float*, float*, float*, i32, i32, i32) #0 {\n %7 = allo [...]
+ attr [IterVar(i: int32, (nullptr), "DataPar", "")] "pragma_import_llvm" = "; ModuleID = '/tmp/tmpb_mv2n5e/input0.cc'\nsource_filename = \"/tmp/tmpb_mv2n5e/input0.cc\"\ntarget datalayout = \"e-m:e-i64:64-f80:128-n8:16:32:64-S128\"\ntarget triple = \"x86_64-pc-linux-gnu\"\n\n; Function Attrs: noinline nounwind optnone uwtable\ndefine dso_local i32 @gemv_update(float*, float*, float*, i32, i32, i32) #0 {\n %7 = allo [...]
for (i, 0, 1024) {
for (j.outer: int32, 0, 32) {
@tir.call_extern("gemv_update", @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), C_2, ((i*512) + (j.outer*16)), 16, 2, dtype=handle), @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), A_2, (i*64), 64, 1, dtype=handle), @tir.tvm_access_ptr(@tir.type_annotation(, dtype=float32), B_2, (j.outer*1024), 1024, 1, dtype=handle), 16, 64, 64, dtype=int32)
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index cc39e47cb..2667465b3 100644
--- a/docs/reference/api/python/auto_scheduler.html
+++ b/docs/reference/api/python/auto_scheduler.html
@@ -1715,7 +1715,7 @@ Can be the a function or the function name.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
-<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
<dd><p>THIS API IS DEPRECATED.</p>
<p>Run auto scheduling search for a task.</p>
<dl class="field-list simple">
@@ -1752,7 +1752,7 @@ the initial naive schedule (state).</p>
<dl class="py class">
<dt class="sig sig-object py" id="tvm.auto_scheduler.SketchPolicy">
-<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
<dd><p>The search policy that searches in a hierarchical search space defined by sketches.
The policy randomly samples programs from the space defined by sketches and use evolutionary
search to fine-tune them.</p>
diff --git a/docs/reference/api/python/relay/frontend.html b/docs/reference/api/python/relay/frontend.html
index 476f3d00a..f338866ee 100644
--- a/docs/reference/api/python/relay/frontend.html
+++ b/docs/reference/api/python/relay/frontend.html
@@ -357,8 +357,8 @@ for Relay.</p>
<tr class="row-odd"><td><p><a class="reference internal" href="#tvm.relay.frontend.from_keras" title="tvm.relay.frontend.from_keras"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_keras</span></code></a>(model[, shape, layout])</p></td>
<td><p>Convert keras model to relay Function.</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#tvm.relay.frontend.from_oneflow" title="tvm.relay.frontend.from_oneflow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_oneflow</span></code></a>(graph, model_dir_path[, ...])</p></td>
-<td><p>see OneflowGraph.from_oneflow</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#tvm.relay.frontend.from_oneflow" title="tvm.relay.frontend.from_oneflow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_oneflow</span></code></a>(graph, model_dir_path)</p></td>
+<td><p>Convert a OneFlow model into an equivalent Relay Function.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#tvm.relay.frontend.from_onnx" title="tvm.relay.frontend.from_onnx"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_onnx</span></code></a>(model[, shape, dtype, opset, ...])</p></td>
<td><p>Convert a ONNX model into an equivalent Relay Function.</p></td>
@@ -457,8 +457,30 @@ performs better across TVM.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="tvm.relay.frontend.from_oneflow">
-<span class="sig-prename descclassname"><span class="pre">tvm.relay.frontend.</span></span><span class="sig-name descname"><span class="pre">from_oneflow</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freeze_params</span></span><span class="o"><span class="pre">=</ [...]
-<dd><p>see OneflowGraph.from_oneflow</p>
+<span class="sig-prename descclassname"><span class="pre">tvm.relay.frontend.</span></span><span class="sig-name descname"><span class="pre">from_oneflow</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_dir_path</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.relay.frontend.from_oneflow" title="Permalink to this def [...]
+<dd><p>Convert a OneFlow model into an equivalent Relay Function.</p>
+<p>At present, there are two ways to run models in deep learning framework
+Dynamic Graph and Static Graph, which are also called Eager Mode and Graph
+Mode in OneFlow.</p>
+<p>In general, dynamic graphs are easier to use and static graphs have better performance.
+OneFlow offers nn.Graph, so that users can use the eager-like programming style to build
+static graphs and train the models.</p>
+<p>We utilize the intermediate representation of nn.Graph to convert the OneFlow model to Reley.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>nodes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><em>dict</em></a><em>, </em><em>keys: node.name</em><em>, </em><em>value: node</em>) – contain the graph</p></li>
+<li><p><strong>model_dir_path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – The path of weight</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>mod</strong> (<em>tvm.IRModule</em>) – The returned relay module</p></li>
+<li><p><strong>params</strong> (<em>dict</em>) – A dict of name: tvm.nd.array pairs, used as pretrained weights</p></li>
+</ul>
+</p>
+</dd>
+</dl>
</dd></dl>
<dl class="py function">
diff --git a/docs/reference/api/typedoc/classes/bytestreamreader.html b/docs/reference/api/typedoc/classes/bytestreamreader.html
index a635648d5..5ecfc4ea1 100644
--- a/docs/reference/api/typedoc/classes/bytestreamreader.html
+++ b/docs/reference/api/typedoc/classes/bytestreamreader.html
@@ -119,7 +119,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L43">rpc_server.ts:43</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L43">rpc_server.ts:43</a></li>
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<div class="tsd-signature tsd-kind-icon">bytes<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Uint8Array</span></div>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L43">rpc_server.ts:43</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L43">rpc_server.ts:43</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L42">rpc_server.ts:42</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L42">rpc_server.ts:42</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L63">rpc_server.ts:63</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L63">rpc_server.ts:63</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L49">rpc_server.ts:49</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L49">rpc_server.ts:49</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L57">rpc_server.ts:57</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L57">rpc_server.ts:57</a></li>
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index 536606284..fda2213f4 100644
--- a/docs/reference/api/typedoc/classes/cachedcallstack.html
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L223">memory.ts:223</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L223">memory.ts:223</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
@@ -172,7 +172,7 @@
<div class="tsd-signature tsd-kind-icon">temp<wbr>Args<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Array</span><span class="tsd-signature-symbol"><</span><a href="../interfaces/disposable.html" class="tsd-signature-type">Disposable</a><span class="tsd-signature-symbol">></span><span class="tsd-signature-symbol"> = []</span></div>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L208">memory.ts:208</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L208">memory.ts:208</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L312">memory.ts:312</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L312">memory.ts:312</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L284">memory.ts:284</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L284">memory.ts:284</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L388">memory.ts:388</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L388">memory.ts:388</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L376">memory.ts:376</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L376">memory.ts:376</a></li>
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@@ -340,7 +340,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L267">memory.ts:267</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L267">memory.ts:267</a></li>
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@@ -373,7 +373,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L243">memory.ts:243</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L243">memory.ts:243</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L321">memory.ts:321</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L321">memory.ts:321</a></li>
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@@ -422,7 +422,7 @@
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L252">memory.ts:252</a></li>
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@@ -444,7 +444,7 @@
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L359">memory.ts:359</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L342">memory.ts:342</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L342">memory.ts:342</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L350">memory.ts:350</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L326">memory.ts:326</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L326">memory.ts:326</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L363">memory.ts:363</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L363">memory.ts:363</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L346">memory.ts:346</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L334">memory.ts:334</a></li>
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index 427d2aa3e..1f697362c 100644
--- a/docs/reference/api/typedoc/classes/dldatatype.html
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L262">runtime.ts:262</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L262">runtime.ts:262</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L260">runtime.ts:260</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L260">runtime.ts:260</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L258">runtime.ts:258</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L258">runtime.ts:258</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L262">runtime.ts:262</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L262">runtime.ts:262</a></li>
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L279">runtime.ts:279</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L270">runtime.ts:270</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L270">runtime.ts:270</a></li>
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index 855ffcc23..35c905a44 100644
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L202">runtime.ts:202</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L202">runtime.ts:202</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L200">runtime.ts:200</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L200">runtime.ts:200</a></li>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L198">runtime.ts:198</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L198">runtime.ts:198</a></li>
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diff --git a/docs/reference/api/typedoc/classes/environment.html b/docs/reference/api/typedoc/classes/environment.html
index 942233e5b..8b9c66461 100644
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L86">environment.ts:86</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L86">environment.ts:86</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L70">environment.ts:70</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L70">environment.ts:70</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L69">environment.ts:69</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L69">environment.ts:69</a></li>
</ul>
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<div class="tsd-type-declaration">
@@ -210,7 +210,7 @@
<div class="tsd-signature tsd-kind-icon">packedCFunc<wbr>Table<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Array</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">ctypes.FTVMWasmPackedCFunc</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol">></span><span class="tsd-signature-symbol"> = [undefined,]</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L78">environment.ts:78</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L78">environment.ts:78</a></li>
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<div class="tsd-comment tsd-typography">
@@ -228,7 +228,7 @@
<div class="tsd-signature tsd-kind-icon">packedCFunc<wbr>Table<wbr>Free<wbr>Id<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Array</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">></span><span class="tsd-signature-symbol"> = []</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L84">environment.ts:84</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L84">environment.ts:84</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -250,7 +250,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L105">environment.ts:105</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L105">environment.ts:105</a></li>
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<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/classes/ffilibrary.html b/docs/reference/api/typedoc/classes/ffilibrary.html
index d1118d47e..b68fda41e 100644
--- a/docs/reference/api/typedoc/classes/ffilibrary.html
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@@ -131,7 +131,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L49">runtime.ts:49</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L49">runtime.ts:49</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
@@ -156,7 +156,7 @@
<div class="tsd-signature tsd-kind-icon">exports<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">Function</span><span class="tsd-signature-symbol">></span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L46">runtime.ts:46</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L46">runtime.ts:46</a></li>
</ul>
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@@ -166,7 +166,7 @@
<div class="tsd-signature tsd-kind-icon">memory<span class="tsd-signature-symbol">:</span> <a href="memory.html" class="tsd-signature-type">Memory</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L45">runtime.ts:45</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L45">runtime.ts:45</a></li>
</ul>
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@@ -176,7 +176,7 @@
<div class="tsd-signature tsd-kind-icon">wasm32<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L44">runtime.ts:44</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L44">runtime.ts:44</a></li>
</ul>
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@@ -186,7 +186,7 @@
<div class="tsd-signature tsd-kind-icon">webGPUContext<span class="tsd-signature-symbol">:</span> <a href="webgpucontext.html" class="tsd-signature-type">WebGPUContext</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L47">runtime.ts:47</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L47">runtime.ts:47</a></li>
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@@ -203,7 +203,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L76">runtime.ts:76</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L76">runtime.ts:76</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
@@ -226,7 +226,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L66">runtime.ts:66</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L66">runtime.ts:66</a></li>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
@@ -243,7 +243,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L84">runtime.ts:84</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L84">runtime.ts:84</a></li>
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<h4 class="tsd-returns-title">Returns <a href="cachedcallstack.html" class="tsd-signature-type">CachedCallStack</a></h4>
@@ -260,7 +260,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L95">runtime.ts:95</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L95">runtime.ts:95</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
@@ -283,7 +283,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L72">runtime.ts:72</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L72">runtime.ts:72</a></li>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
diff --git a/docs/reference/api/typedoc/classes/graphexecutor.html b/docs/reference/api/typedoc/classes/graphexecutor.html
index 9262d6646..d47ae950b 100644
--- a/docs/reference/api/typedoc/classes/graphexecutor.html
+++ b/docs/reference/api/typedoc/classes/graphexecutor.html
@@ -130,7 +130,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L583">runtime.ts:583</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L583">runtime.ts:583</a></li>
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<div class="tsd-comment tsd-typography">
@@ -162,7 +162,7 @@
<div class="tsd-signature tsd-kind-icon">module<span class="tsd-signature-symbol">:</span> <a href="module.html" class="tsd-signature-type">Module</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L579">runtime.ts:579</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L579">runtime.ts:579</a></li>
</ul>
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@@ -179,7 +179,7 @@
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<aside class="tsd-sources">
<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L654">runtime.ts:654</a></li>
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<div class="tsd-comment tsd-typography">
@@ -224,7 +224,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L597">runtime.ts:597</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L597">runtime.ts:597</a></li>
</ul>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
@@ -241,7 +241,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L631">runtime.ts:631</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L631">runtime.ts:631</a></li>
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<div class="tsd-comment tsd-typography">
@@ -279,7 +279,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L644">runtime.ts:644</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L644">runtime.ts:644</a></li>
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<div class="tsd-comment tsd-typography">
@@ -310,7 +310,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L621">runtime.ts:621</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L621">runtime.ts:621</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -332,7 +332,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L609">runtime.ts:609</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L609">runtime.ts:609</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/classes/instance.html b/docs/reference/api/typedoc/classes/instance.html
index 7e0d88493..a1df887a0 100644
--- a/docs/reference/api/typedoc/classes/instance.html
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@@ -139,7 +139,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L692">runtime.ts:692</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L692">runtime.ts:692</a></li>
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<div class="tsd-comment tsd-typography">
@@ -202,7 +202,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L684">runtime.ts:684</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L684">runtime.ts:684</a></li>
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@@ -212,7 +212,7 @@
<div class="tsd-signature tsd-kind-icon">memory<span class="tsd-signature-symbol">:</span> <a href="memory.html" class="tsd-signature-type">Memory</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L683">runtime.ts:683</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L683">runtime.ts:683</a></li>
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@@ -229,7 +229,7 @@
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L932">runtime.ts:932</a></li>
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<div class="tsd-comment tsd-typography">
@@ -260,7 +260,7 @@
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L994">runtime.ts:994</a></li>
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<div class="tsd-comment tsd-typography">
@@ -303,7 +303,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L924">runtime.ts:924</a></li>
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<div class="tsd-comment tsd-typography">
@@ -341,7 +341,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L732">runtime.ts:732</a></li>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
@@ -358,7 +358,7 @@
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<ul>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L952">runtime.ts:952</a></li>
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<div class="tsd-comment tsd-typography">
@@ -402,7 +402,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L816">runtime.ts:816</a></li>
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<div class="tsd-comment tsd-typography">
@@ -434,7 +434,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L1033">runtime.ts:1033</a></li>
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<div class="tsd-comment tsd-typography">
@@ -465,7 +465,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L846">runtime.ts:846</a></li>
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<div class="tsd-comment tsd-typography">
@@ -497,7 +497,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L750">runtime.ts:750</a></li>
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<div class="tsd-comment tsd-typography">
@@ -520,7 +520,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L1013">runtime.ts:1013</a></li>
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<div class="tsd-comment tsd-typography">
@@ -568,7 +568,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L789">runtime.ts:789</a></li>
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<div class="tsd-comment tsd-typography">
@@ -608,7 +608,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L914">runtime.ts:914</a></li>
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<div class="tsd-comment tsd-typography">
@@ -646,7 +646,7 @@
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<aside class="tsd-sources">
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L1134">runtime.ts:1134</a></li>
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<div class="tsd-comment tsd-typography">
@@ -698,7 +698,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L740">runtime.ts:740</a></li>
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<div class="tsd-comment tsd-typography">
@@ -722,7 +722,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L868">runtime.ts:868</a></li>
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<div class="tsd-comment tsd-typography">
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L857">runtime.ts:857</a></li>
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<div class="tsd-comment tsd-typography">
@@ -786,7 +786,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L940">runtime.ts:940</a></li>
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<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/classes/memory.html b/docs/reference/api/typedoc/classes/memory.html
index eb160d445..5cc18e8f9 100644
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L32">memory.ts:32</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L33">memory.ts:33</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L74">memory.ts:74</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L81">memory.ts:81</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L104">memory.ts:104</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L132">memory.ts:132</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L145">memory.ts:145</a></li>
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@@ -393,7 +393,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L60">memory.ts:60</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L67">memory.ts:67</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L67">memory.ts:67</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L53">memory.ts:53</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L53">memory.ts:53</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L114">memory.ts:114</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L114">memory.ts:114</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L124">memory.ts:124</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L124">memory.ts:124</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/memory.ts#L175">memory.ts:175</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/memory.ts#L175">memory.ts:175</a></li>
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diff --git a/docs/reference/api/typedoc/classes/module.html b/docs/reference/api/typedoc/classes/module.html
index ceb7f2027..e3e4074e6 100644
--- a/docs/reference/api/typedoc/classes/module.html
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L504">runtime.ts:504</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L504">runtime.ts:504</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L502">runtime.ts:502</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L502">runtime.ts:502</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L516">runtime.ts:516</a></li>
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- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L530">runtime.ts:530</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L530">runtime.ts:530</a></li>
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@@ -236,7 +236,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L561">runtime.ts:561</a></li>
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diff --git a/docs/reference/api/typedoc/classes/ndarray.html b/docs/reference/api/typedoc/classes/ndarray.html
index ac2aac650..c4f6f3bf4 100644
--- a/docs/reference/api/typedoc/classes/ndarray.html
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@@ -130,7 +130,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L304">runtime.ts:304</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L297">runtime.ts:297</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L297">runtime.ts:297</a></li>
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<div class="tsd-comment tsd-typography">
@@ -173,7 +173,7 @@
<div class="tsd-signature tsd-kind-icon">dtype<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L293">runtime.ts:293</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L293">runtime.ts:293</a></li>
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<div class="tsd-comment tsd-typography">
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L289">runtime.ts:289</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L289">runtime.ts:289</a></li>
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<div class="tsd-comment tsd-typography">
@@ -203,7 +203,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L291">runtime.ts:291</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L291">runtime.ts:291</a></li>
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<div class="tsd-comment tsd-typography">
@@ -218,7 +218,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L295">runtime.ts:295</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L295">runtime.ts:295</a></li>
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<div class="tsd-comment tsd-typography">
@@ -240,7 +240,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L370">runtime.ts:370</a></li>
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<div class="tsd-comment tsd-typography">
@@ -273,7 +273,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L414">runtime.ts:414</a></li>
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@@ -305,7 +305,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L355">runtime.ts:355</a></li>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
@@ -322,7 +322,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L474">runtime.ts:474</a></li>
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@@ -346,7 +346,7 @@
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L443">runtime.ts:443</a></li>
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<div class="tsd-comment tsd-typography">
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index e440ea19a..4d7d02ad8 100644
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L158">runtime.ts:158</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L157">runtime.ts:157</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L157">runtime.ts:157</a></li>
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+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L165">runtime.ts:165</a></li>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
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index b6da13f98..5578f17bc 100644
--- a/docs/reference/api/typedoc/classes/rpcserver.html
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@@ -115,7 +115,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L92">rpc_server.ts:92</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L92">rpc_server.ts:92</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
@@ -176,7 +176,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li>
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<div class="tsd-type-declaration">
@@ -201,7 +201,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li>
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@@ -211,7 +211,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li>
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<div class="tsd-type-declaration">
@@ -242,7 +242,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li>
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@@ -252,7 +252,7 @@
<div class="tsd-signature tsd-kind-icon">state<span class="tsd-signature-symbol">:</span> <a href="../enums/rpcserverstate.html" class="tsd-signature-type">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li>
</ul>
</aside>
</section>
@@ -262,7 +262,7 @@
<div class="tsd-signature tsd-kind-icon">url<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/classes/scalar.html b/docs/reference/api/typedoc/classes/scalar.html
index 743f29e7f..dde82f0d9 100644
--- a/docs/reference/api/typedoc/classes/scalar.html
+++ b/docs/reference/api/typedoc/classes/scalar.html
@@ -112,7 +112,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L145">runtime.ts:145</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L145">runtime.ts:145</a></li>
</ul>
</aside>
<h4 class="tsd-parameters-title">Parameters</h4>
@@ -137,7 +137,7 @@
<div class="tsd-signature tsd-kind-icon">dtype<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L145">runtime.ts:145</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L145">runtime.ts:145</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -152,7 +152,7 @@
<div class="tsd-signature tsd-kind-icon">value<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L143">runtime.ts:143</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L143">runtime.ts:143</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/classes/webgpucontext.html b/docs/reference/api/typedoc/classes/webgpucontext.html
index 7bea3add8..a6616b602 100644
--- a/docs/reference/api/typedoc/classes/webgpucontext.html
+++ b/docs/reference/api/typedoc/classes/webgpucontext.html
@@ -120,7 +120,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L57">webgpu.ts:57</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L57">webgpu.ts:57</a></li>
</ul>
</aside>
<h4 class="tsd-parameters-title">Parameters</h4>
@@ -145,7 +145,7 @@
<div class="tsd-signature tsd-kind-icon">device<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">GPUDevice</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L50">webgpu.ts:50</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L50">webgpu.ts:50</a></li>
</ul>
</aside>
</section>
@@ -155,7 +155,7 @@
<div class="tsd-signature tsd-kind-icon">memory<span class="tsd-signature-symbol">:</span> <a href="memory.html" class="tsd-signature-type">Memory</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L51">webgpu.ts:51</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L51">webgpu.ts:51</a></li>
</ul>
</aside>
</section>
@@ -172,7 +172,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L84">webgpu.ts:84</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L84">webgpu.ts:84</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -209,7 +209,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L170">webgpu.ts:170</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L170">webgpu.ts:170</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -238,7 +238,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L67">webgpu.ts:67</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L67">webgpu.ts:67</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/enums/argtypecode.html b/docs/reference/api/typedoc/enums/argtypecode.html
index eedd49250..1f1c50b88 100644
--- a/docs/reference/api/typedoc/enums/argtypecode.html
+++ b/docs/reference/api/typedoc/enums/argtypecode.html
@@ -106,7 +106,7 @@
<div class="tsd-signature tsd-kind-icon">DLDevice<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 6</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L220">ctypes.ts:220</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L220">ctypes.ts:220</a></li>
</ul>
</aside>
</section>
@@ -116,7 +116,7 @@
<div class="tsd-signature tsd-kind-icon">Float<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 2</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L216">ctypes.ts:216</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L216">ctypes.ts:216</a></li>
</ul>
</aside>
</section>
@@ -126,7 +126,7 @@
<div class="tsd-signature tsd-kind-icon">Int<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 0</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L214">ctypes.ts:214</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L214">ctypes.ts:214</a></li>
</ul>
</aside>
</section>
@@ -136,7 +136,7 @@
<div class="tsd-signature tsd-kind-icon">Null<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L218">ctypes.ts:218</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L218">ctypes.ts:218</a></li>
</ul>
</aside>
</section>
@@ -146,7 +146,7 @@
<div class="tsd-signature tsd-kind-icon">TVMBytes<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 12</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L226">ctypes.ts:226</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L226">ctypes.ts:226</a></li>
</ul>
</aside>
</section>
@@ -156,7 +156,7 @@
<div class="tsd-signature tsd-kind-icon">TVMDLTensor<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 7</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L221">ctypes.ts:221</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L221">ctypes.ts:221</a></li>
</ul>
</aside>
</section>
@@ -166,7 +166,7 @@
<div class="tsd-signature tsd-kind-icon">TVMData<wbr>Type<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 5</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L219">ctypes.ts:219</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L219">ctypes.ts:219</a></li>
</ul>
</aside>
</section>
@@ -176,7 +176,7 @@
<div class="tsd-signature tsd-kind-icon">TVMModule<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 9</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L223">ctypes.ts:223</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L223">ctypes.ts:223</a></li>
</ul>
</aside>
</section>
@@ -186,7 +186,7 @@
<div class="tsd-signature tsd-kind-icon">TVMNDArray<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 13</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L227">ctypes.ts:227</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L227">ctypes.ts:227</a></li>
</ul>
</aside>
</section>
@@ -196,7 +196,7 @@
<div class="tsd-signature tsd-kind-icon">TVMObject<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 8</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L222">ctypes.ts:222</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L222">ctypes.ts:222</a></li>
</ul>
</aside>
</section>
@@ -206,7 +206,7 @@
<div class="tsd-signature tsd-kind-icon">TVMObjectRValue<wbr>Ref<wbr>Arg<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 14</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L228">ctypes.ts:228</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L228">ctypes.ts:228</a></li>
</ul>
</aside>
</section>
@@ -216,7 +216,7 @@
<div class="tsd-signature tsd-kind-icon">TVMOpaque<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 3</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L217">ctypes.ts:217</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L217">ctypes.ts:217</a></li>
</ul>
</aside>
</section>
@@ -226,7 +226,7 @@
<div class="tsd-signature tsd-kind-icon">TVMPacked<wbr>Func<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 10</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L224">ctypes.ts:224</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L224">ctypes.ts:224</a></li>
</ul>
</aside>
</section>
@@ -236,7 +236,7 @@
<div class="tsd-signature tsd-kind-icon">TVMStr<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 11</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L225">ctypes.ts:225</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L225">ctypes.ts:225</a></li>
</ul>
</aside>
</section>
@@ -246,7 +246,7 @@
<div class="tsd-signature tsd-kind-icon">UInt<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 1</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L215">ctypes.ts:215</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L215">ctypes.ts:215</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/enums/aynccallbackcode.html b/docs/reference/api/typedoc/enums/aynccallbackcode.html
index b2eb87cd8..a6ea6e3e5 100644
--- a/docs/reference/api/typedoc/enums/aynccallbackcode.html
+++ b/docs/reference/api/typedoc/enums/aynccallbackcode.html
@@ -93,7 +93,7 @@
<div class="tsd-signature tsd-kind-icon">k<wbr>Exception<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 5</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L676">runtime.ts:676</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L676">runtime.ts:676</a></li>
</ul>
</aside>
</section>
@@ -103,7 +103,7 @@
<div class="tsd-signature tsd-kind-icon">k<wbr>Return<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L675">runtime.ts:675</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L675">runtime.ts:675</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/enums/dldatatypecode.html b/docs/reference/api/typedoc/enums/dldatatypecode.html
index aeb67bb9e..2b363f3fe 100644
--- a/docs/reference/api/typedoc/enums/dldatatypecode.html
+++ b/docs/reference/api/typedoc/enums/dldatatypecode.html
@@ -95,7 +95,7 @@
<div class="tsd-signature tsd-kind-icon">Float<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 2</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L242">runtime.ts:242</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L242">runtime.ts:242</a></li>
</ul>
</aside>
</section>
@@ -105,7 +105,7 @@
<div class="tsd-signature tsd-kind-icon">Int<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 0</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L240">runtime.ts:240</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L240">runtime.ts:240</a></li>
</ul>
</aside>
</section>
@@ -115,7 +115,7 @@
<div class="tsd-signature tsd-kind-icon">Opaque<wbr>Handle<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 3</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L243">runtime.ts:243</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L243">runtime.ts:243</a></li>
</ul>
</aside>
</section>
@@ -125,7 +125,7 @@
<div class="tsd-signature tsd-kind-icon">UInt<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 1</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L241">runtime.ts:241</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L241">runtime.ts:241</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/enums/rpcserverstate.html b/docs/reference/api/typedoc/enums/rpcserverstate.html
index 7f15a49f0..16bfd42ca 100644
--- a/docs/reference/api/typedoc/enums/rpcserverstate.html
+++ b/docs/reference/api/typedoc/enums/rpcserverstate.html
@@ -90,7 +90,7 @@
<div class="tsd-signature tsd-kind-icon">Init<wbr>Header<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li>
</ul>
</aside>
</section>
@@ -100,7 +100,7 @@
<div class="tsd-signature tsd-kind-icon">Init<wbr>Header<wbr>Key<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li>
</ul>
</aside>
</section>
@@ -110,7 +110,7 @@
<div class="tsd-signature tsd-kind-icon">Init<wbr>Server<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li>
</ul>
</aside>
</section>
@@ -120,7 +120,7 @@
<div class="tsd-signature tsd-kind-icon">Receive<wbr>Packet<wbr>Body<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li>
</ul>
</aside>
</section>
@@ -130,7 +130,7 @@
<div class="tsd-signature tsd-kind-icon">Receive<wbr>Packet<wbr>Header<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li>
</ul>
</aside>
</section>
@@ -140,7 +140,7 @@
<div class="tsd-signature tsd-kind-icon">Wait<wbr>For<wbr>Callback<span class="tsd-signature-symbol">:</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/enums/sizeof.html b/docs/reference/api/typedoc/enums/sizeof.html
index 28a95ef10..dc4ef6e06 100644
--- a/docs/reference/api/typedoc/enums/sizeof.html
+++ b/docs/reference/api/typedoc/enums/sizeof.html
@@ -100,7 +100,7 @@
<div class="tsd-signature tsd-kind-icon">DLData<wbr>Type<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = I32</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L206">ctypes.ts:206</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L206">ctypes.ts:206</a></li>
</ul>
</aside>
</section>
@@ -110,7 +110,7 @@
<div class="tsd-signature tsd-kind-icon">DLDevice<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = I32 + I32</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L207">ctypes.ts:207</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L207">ctypes.ts:207</a></li>
</ul>
</aside>
</section>
@@ -120,7 +120,7 @@
<div class="tsd-signature tsd-kind-icon">F32<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L203">ctypes.ts:203</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L203">ctypes.ts:203</a></li>
</ul>
</aside>
</section>
@@ -130,7 +130,7 @@
<div class="tsd-signature tsd-kind-icon">F64<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 8</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L204">ctypes.ts:204</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L204">ctypes.ts:204</a></li>
</ul>
</aside>
</section>
@@ -140,7 +140,7 @@
<div class="tsd-signature tsd-kind-icon">I32<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L201">ctypes.ts:201</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L201">ctypes.ts:201</a></li>
</ul>
</aside>
</section>
@@ -150,7 +150,7 @@
<div class="tsd-signature tsd-kind-icon">I64<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 8</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L202">ctypes.ts:202</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L202">ctypes.ts:202</a></li>
</ul>
</aside>
</section>
@@ -160,7 +160,7 @@
<div class="tsd-signature tsd-kind-icon">TVMValue<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 8</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L205">ctypes.ts:205</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L205">ctypes.ts:205</a></li>
</ul>
</aside>
</section>
@@ -170,7 +170,7 @@
<div class="tsd-signature tsd-kind-icon">U16<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 2</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L200">ctypes.ts:200</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L200">ctypes.ts:200</a></li>
</ul>
</aside>
</section>
@@ -180,7 +180,7 @@
<div class="tsd-signature tsd-kind-icon">U8<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol"> = 1</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L199">ctypes.ts:199</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L199">ctypes.ts:199</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/index.html b/docs/reference/api/typedoc/index.html
index 05d73ab6f..374d34f9c 100644
--- a/docs/reference/api/typedoc/index.html
+++ b/docs/reference/api/typedoc/index.html
@@ -174,7 +174,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMArray<wbr>Alloc<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>shape<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, ndim<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span>, dtypeCode<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span>, dtypeBits<span class="tsd [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L112">ctypes.ts:112</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L112">ctypes.ts:112</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -238,7 +238,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMArray<wbr>Copy<wbr>From<wbr>Bytes<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>handle<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, data<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, nbytes<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">num [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L128">ctypes.ts:128</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L128">ctypes.ts:128</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -282,7 +282,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMArray<wbr>Copy<wbr>From<wbr>To<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>from<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, to<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, stream<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-sig [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L144">ctypes.ts:144</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L144">ctypes.ts:144</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -326,7 +326,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMArray<wbr>Copy<wbr>ToBytes<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>handle<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, data<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, nbytes<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</sp [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L136">ctypes.ts:136</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L136">ctypes.ts:136</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -370,7 +370,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMArray<wbr>Free<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>handle<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L121">ctypes.ts:121</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L121">ctypes.ts:121</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -406,7 +406,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMBackend<wbr>PackedCFunc<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>argValues<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, argCodes<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, nargs<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number< [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L160">ctypes.ts:160</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L160">ctypes.ts:160</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -458,7 +458,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMCFunc<wbr>Set<wbr>Return<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>ret<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, value<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, typeCode<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signa [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L77">ctypes.ts:77</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L77">ctypes.ts:77</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -506,7 +506,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMCb<wbr>Arg<wbr>ToReturn<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>value<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, code<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span c [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L83">ctypes.ts:83</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L83">ctypes.ts:83</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -545,7 +545,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMFunc<wbr>Call<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>func<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, argValues<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, typeCode<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-t [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L67">ctypes.ts:67</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L67">ctypes.ts:67</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -601,7 +601,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMFunc<wbr>Free<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>func<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L57">ctypes.ts:57</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L57">ctypes.ts:57</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -637,7 +637,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMFunc<wbr>Get<wbr>Global<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>name<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, out<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span cla [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L100">ctypes.ts:100</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L100">ctypes.ts:100</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -676,7 +676,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMFunc<wbr>List<wbr>Global<wbr>Names<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>outSize<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, outArray<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> =&g [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L88">ctypes.ts:88</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L88">ctypes.ts:88</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -715,7 +715,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMFunc<wbr>Register<wbr>Global<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>name<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, f<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, override<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</spa [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L94">ctypes.ts:94</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L94">ctypes.ts:94</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -758,7 +758,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMGet<wbr>Last<wbr>Error<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L34">ctypes.ts:34</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L34">ctypes.ts:34</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -788,7 +788,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMMod<wbr>Free<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>mod<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L52">ctypes.ts:52</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L52">ctypes.ts:52</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -824,7 +824,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMMod<wbr>Get<wbr>Function<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>mod<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, funcName<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, queryImports<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">numbe [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L42">ctypes.ts:42</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L42">ctypes.ts:42</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -872,7 +872,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMMod<wbr>Import<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>mod<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, dep<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-si [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L48">ctypes.ts:48</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L48">ctypes.ts:48</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -912,7 +912,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMSynchronize<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>deviceType<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span>, deviceId<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span>, stream<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signatur [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L150">ctypes.ts:150</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L150">ctypes.ts:150</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -954,7 +954,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMWasm<wbr>Alloc<wbr>Space<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>size<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L167">ctypes.ts:167</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L167">ctypes.ts:167</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -990,7 +990,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L170">ctypes.ts:170</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L170">ctypes.ts:170</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1026,7 +1026,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMWasm<wbr>Func<wbr>Create<wbr>FromCFunc<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>resource<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, out<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> =&g [...]
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L187">ctypes.ts:187</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L187">ctypes.ts:187</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1066,7 +1066,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMWasm<wbr>PackedCFunc<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>args<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, typeCodes<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a>, nargs<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span>, [...]
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L179">ctypes.ts:179</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L179">ctypes.ts:179</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1118,7 +1118,7 @@
<div class="tsd-signature tsd-kind-icon">FTVMWasm<wbr>PackedCFunc<wbr>Finalizer<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>resourceHandle<span class="tsd-signature-symbol">: </span><a href="index.html#pointer" class="tsd-signature-type">Pointer</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L193">ctypes.ts:193</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L193">ctypes.ts:193</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1154,7 +1154,7 @@
<div class="tsd-signature tsd-kind-icon">GPUPointer<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L25">webgpu.ts:25</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L25">webgpu.ts:25</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -1169,7 +1169,7 @@
<div class="tsd-signature tsd-kind-icon">Packed<wbr>Func<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">...</span>args<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol"> & </span><a href="interfaces/disp [...]
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L36">runtime.ts:36</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L36">runtime.ts:36</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1184,7 +1184,7 @@
<div class="tsd-signature tsd-kind-icon">Pointer<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L25">ctypes.ts:25</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L25">ctypes.ts:25</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1199,7 +1199,7 @@
<div class="tsd-signature tsd-kind-icon">Ptr<wbr>Offset<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/ctypes.ts#L28">ctypes.ts:28</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/ctypes.ts#L28">ctypes.ts:28</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1217,7 +1217,7 @@
<div class="tsd-signature tsd-kind-icon">RPC_<wbr>MAGIC<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">1045105</span><span class="tsd-signature-symbol"> = 1045105</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/rpc_server.ts#L36">rpc_server.ts:36</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/rpc_server.ts#L36">rpc_server.ts:36</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1239,7 +1239,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/support.ts#L25">support.ts:25</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/support.ts#L25">support.ts:25</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1271,7 +1271,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/support.ts#L39">support.ts:39</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/support.ts#L39">support.ts:39</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1300,7 +1300,7 @@
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/support.ts#L52">support.ts:52</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/support.ts#L52">support.ts:52</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1337,7 +1337,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/compact.ts#L38">compact.ts:38</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/compact.ts#L38">compact.ts:38</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1368,7 +1368,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L30">webgpu.ts:30</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L30">webgpu.ts:30</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -1390,7 +1390,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/environment.ts#L32">environment.ts:32</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/environment.ts#L32">environment.ts:32</a></li>
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<div class="tsd-comment tsd-typography">
@@ -1421,7 +1421,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/compact.ts#L24">compact.ts:24</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/compact.ts#L24">compact.ts:24</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -1443,7 +1443,7 @@
<li class="tsd-description">
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<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L1356">runtime.ts:1356</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L1356">runtime.ts:1356</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -1508,7 +1508,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/support.ts#L62">support.ts:62</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/support.ts#L62">support.ts:62</a></li>
</ul>
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<div class="tsd-comment tsd-typography">
@@ -1530,7 +1530,7 @@
<div class="tsd-signature tsd-kind-icon">DLData<wbr>Type<wbr>Code<wbr>ToStr<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">object</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L246">runtime.ts:246</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L246">runtime.ts:246</a></li>
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<section class="tsd-panel tsd-member tsd-kind-variable tsd-parent-kind-object-literal">
@@ -1539,7 +1539,7 @@
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<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L247">runtime.ts:247</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L247">runtime.ts:247</a></li>
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@@ -1549,7 +1549,7 @@
<div class="tsd-signature tsd-kind-icon">1<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "uint"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L248">runtime.ts:248</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L248">runtime.ts:248</a></li>
</ul>
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@@ -1559,7 +1559,7 @@
<div class="tsd-signature tsd-kind-icon">2<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "float"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L249">runtime.ts:249</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L249">runtime.ts:249</a></li>
</ul>
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@@ -1569,7 +1569,7 @@
<div class="tsd-signature tsd-kind-icon">3<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "handle"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L250">runtime.ts:250</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L250">runtime.ts:250</a></li>
</ul>
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@@ -1580,7 +1580,7 @@
<div class="tsd-signature tsd-kind-icon">Device<wbr>Enum<wbr>ToStr<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">object</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L175">runtime.ts:175</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L175">runtime.ts:175</a></li>
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<section class="tsd-panel tsd-member tsd-kind-variable tsd-parent-kind-object-literal">
@@ -1589,7 +1589,7 @@
<div class="tsd-signature tsd-kind-icon">1<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "cpu"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L176">runtime.ts:176</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L176">runtime.ts:176</a></li>
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@@ -1599,7 +1599,7 @@
<div class="tsd-signature tsd-kind-icon">15<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "webgpu"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L180">runtime.ts:180</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L180">runtime.ts:180</a></li>
</ul>
</aside>
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@@ -1609,7 +1609,7 @@
<div class="tsd-signature tsd-kind-icon">2<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "cuda"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L177">runtime.ts:177</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L177">runtime.ts:177</a></li>
</ul>
</aside>
</section>
@@ -1619,7 +1619,7 @@
<div class="tsd-signature tsd-kind-icon">4<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "opencl"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L178">runtime.ts:178</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L178">runtime.ts:178</a></li>
</ul>
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</section>
@@ -1629,7 +1629,7 @@
<div class="tsd-signature tsd-kind-icon">8<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "metal"</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L179">runtime.ts:179</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L179">runtime.ts:179</a></li>
</ul>
</aside>
</section>
@@ -1640,7 +1640,7 @@
<div class="tsd-signature tsd-kind-icon">Device<wbr>Str<wbr>ToEnum<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">object</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L183">runtime.ts:183</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L183">runtime.ts:183</a></li>
</ul>
</aside>
<section class="tsd-panel tsd-member tsd-kind-variable tsd-parent-kind-object-literal">
@@ -1649,7 +1649,7 @@
<div class="tsd-signature tsd-kind-icon">cl<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L186">runtime.ts:186</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L186">runtime.ts:186</a></li>
</ul>
</aside>
</section>
@@ -1659,7 +1659,7 @@
<div class="tsd-signature tsd-kind-icon">cpu<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L184">runtime.ts:184</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L184">runtime.ts:184</a></li>
</ul>
</aside>
</section>
@@ -1669,7 +1669,7 @@
<div class="tsd-signature tsd-kind-icon">cuda<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 2</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L185">runtime.ts:185</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L185">runtime.ts:185</a></li>
</ul>
</aside>
</section>
@@ -1679,7 +1679,7 @@
<div class="tsd-signature tsd-kind-icon">metal<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 8</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L189">runtime.ts:189</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L189">runtime.ts:189</a></li>
</ul>
</aside>
</section>
@@ -1689,7 +1689,7 @@
<div class="tsd-signature tsd-kind-icon">opencl<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 4</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L187">runtime.ts:187</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L187">runtime.ts:187</a></li>
</ul>
</aside>
</section>
@@ -1699,7 +1699,7 @@
<div class="tsd-signature tsd-kind-icon">vulkan<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 7</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L188">runtime.ts:188</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L188">runtime.ts:188</a></li>
</ul>
</aside>
</section>
@@ -1709,7 +1709,7 @@
<div class="tsd-signature tsd-kind-icon">webgpu<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 15</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/runtime.ts#L190">runtime.ts:190</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/runtime.ts#L190">runtime.ts:190</a></li>
</ul>
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diff --git a/docs/reference/api/typedoc/interfaces/disposable.html b/docs/reference/api/typedoc/interfaces/disposable.html
index 22a162c1a..d6725174e 100644
--- a/docs/reference/api/typedoc/interfaces/disposable.html
+++ b/docs/reference/api/typedoc/interfaces/disposable.html
@@ -113,7 +113,7 @@
<div class="tsd-signature tsd-kind-icon">dispose<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/types.ts#L52">types.ts:52</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/types.ts#L52">types.ts:52</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
diff --git a/docs/reference/api/typedoc/interfaces/functioninfo.html b/docs/reference/api/typedoc/interfaces/functioninfo.html
index 8eb53c5ed..6e7d19a4c 100644
--- a/docs/reference/api/typedoc/interfaces/functioninfo.html
+++ b/docs/reference/api/typedoc/interfaces/functioninfo.html
@@ -95,7 +95,7 @@
<div class="tsd-signature tsd-kind-icon">arg_<wbr>types<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Array</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">></span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L41">webgpu.ts:41</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L41">webgpu.ts:41</a></li>
</ul>
</aside>
</section>
@@ -105,7 +105,7 @@
<div class="tsd-signature tsd-kind-icon">launch_<wbr>param_<wbr>tags<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Array</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">></span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L42">webgpu.ts:42</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L42">webgpu.ts:42</a></li>
</ul>
</aside>
</section>
@@ -115,7 +115,7 @@
<div class="tsd-signature tsd-kind-icon">name<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/webgpu.ts#L40">webgpu.ts:40</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/webgpu.ts#L40">webgpu.ts:40</a></li>
</ul>
</aside>
</section>
diff --git a/docs/reference/api/typedoc/interfaces/libraryprovider.html b/docs/reference/api/typedoc/interfaces/libraryprovider.html
index b16fbe4eb..1e4e90927 100644
--- a/docs/reference/api/typedoc/interfaces/libraryprovider.html
+++ b/docs/reference/api/typedoc/interfaces/libraryprovider.html
@@ -112,7 +112,7 @@
<div class="tsd-signature tsd-kind-icon">imports<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/types.ts#L34">types.ts:34</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/types.ts#L34">types.ts:34</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
@@ -127,7 +127,7 @@
<div class="tsd-signature tsd-kind-icon">start<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>inst<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Instance</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span></div>
<aside class="tsd-sources">
<ul>
- <li>Defined in <a href="https://github.com/apache/tvm/blob/f59c70226/web/src/types.ts#L39">types.ts:39</a></li>
+ <li>Defined in <a href="https://github.com/apache/tvm/blob/87366b56e/web/src/types.ts#L39">types.ts:39</a></li>
</ul>
</aside>
<div class="tsd-comment tsd-typography">
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 0519e9401..734fdc3b4 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["arch/benchmark","arch/convert_layout","arch/debugger","arch/device_target_interactions","arch/frontend/tensorflow","arch/hybrid_script","arch/index","arch/inferbound","arch/introduction_to_module_serialization","arch/microtvm_design","arch/microtvm_project_api","arch/model_library_format","arch/pass_infra","arch/relay_intro","arch/relay_op_strategy","arch/runtime","arch/runtimes/vulkan","arch/security","arch/virtual_machine","contribute/ci","contribute/code_gu [...]
\ No newline at end of file
+Search.setIndex({docnames:["arch/benchmark","arch/convert_layout","arch/debugger","arch/device_target_interactions","arch/frontend/tensorflow","arch/hybrid_script","arch/index","arch/inferbound","arch/introduction_to_module_serialization","arch/microtvm_design","arch/microtvm_project_api","arch/model_library_format","arch/pass_infra","arch/relay_intro","arch/relay_op_strategy","arch/runtime","arch/runtimes/vulkan","arch/security","arch/virtual_machine","contribute/ci","contribute/code_gu [...]
\ No newline at end of file
diff --git a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
index 6f0fcb9e4..6306ecea8 100644
--- a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
@@ -300,10 +300,10 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:20.590</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
+<p><strong>00:20.915</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:20.381</strong>: <a class="reference internal" href="tune_relay_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-relay-vta-py"><span class="std std-ref">Auto-tuning a convolutional network on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_vta.py</span></code>)</p></li>
-<li><p><strong>00:00.209</strong>: <a class="reference internal" href="tune_alu_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-alu-vta-py"><span class="std std-ref">Auto-tuning a ALU fused op on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_alu_vta.py</span></code>)</p></li>
+<li><p><strong>00:20.708</strong>: <a class="reference internal" href="tune_relay_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-relay-vta-py"><span class="std std-ref">Auto-tuning a convolutional network on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_vta.py</span></code>)</p></li>
+<li><p><strong>00:00.208</strong>: <a class="reference internal" href="tune_alu_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-alu-vta-py"><span class="std std-ref">Auto-tuning a ALU fused op on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_alu_vta.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_classification.html b/docs/topic/vta/tutorials/frontend/deploy_classification.html
index 78d216219..7fca8b593 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_classification.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_classification.html
@@ -539,7 +539,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
DeprecationWarning,
/workspace/vta/tutorials/frontend/deploy_classification.py:213: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
relay_prog, target=tvm.target.Target(target, host=env.target_host), params=params
-resnet18_v1 inference graph built in 21.37s!
+resnet18_v1 inference graph built in 21.58s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index c272ce279..0d4164cf2 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -557,7 +557,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:431: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
DeprecationWarning,
-yolov3-tiny inference graph built in 14.90s!
+yolov3-tiny inference graph built in 14.95s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index b542a47dd..1d8bdf0ff 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -300,10 +300,10 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:28.340</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:29.037</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:46.776</strong>: <a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></li>
-<li><p><strong>00:41.564</strong>: <a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></li>
+<li><p><strong>00:47.207</strong>: <a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></li>
+<li><p><strong>00:41.830</strong>: <a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/topic/vta/tutorials/optimize/sg_execution_times.html b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
index 9c579c3d2..87f7a8017 100644
--- a/docs/topic/vta/tutorials/optimize/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
@@ -300,10 +300,10 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-optimize-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.541</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.611</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:02.1000</strong>: <a class="reference internal" href="convolution_opt.html#sphx-glr-topic-vta-tutorials-optimize-convolution-opt-py"><span class="std std-ref">2D Convolution Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">convolution_opt.py</span></code>)</p></li>
-<li><p><strong>00:00.541</strong>: <a class="reference internal" href="matrix_multiply_opt.html#sphx-glr-topic-vta-tutorials-optimize-matrix-multiply-opt-py"><span class="std std-ref">Matrix Multiply Blocking</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply_opt.py</span></code>)</p></li>
+<li><p><strong>00:03.031</strong>: <a class="reference internal" href="convolution_opt.html#sphx-glr-topic-vta-tutorials-optimize-convolution-opt-py"><span class="std std-ref">2D Convolution Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">convolution_opt.py</span></code>)</p></li>
+<li><p><strong>00:00.580</strong>: <a class="reference internal" href="matrix_multiply_opt.html#sphx-glr-topic-vta-tutorials-optimize-matrix-multiply-opt-py"><span class="std std-ref">Matrix Multiply Blocking</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply_opt.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/topic/vta/tutorials/sg_execution_times.html b/docs/topic/vta/tutorials/sg_execution_times.html
index 7be493a5f..7403b120f 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/sg_execution_times.html
@@ -300,10 +300,10 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:00.997</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:01.064</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
<ul class="simple">
-<li><p><strong>00:00.505</strong>: <a class="reference internal" href="matrix_multiply.html#sphx-glr-topic-vta-tutorials-matrix-multiply-py"><span class="std std-ref">Simple Matrix Multiply</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply.py</span></code>)</p></li>
-<li><p><strong>00:00.491</strong>: <a class="reference internal" href="vta_get_started.html#sphx-glr-topic-vta-tutorials-vta-get-started-py"><span class="std std-ref">Get Started with VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">vta_get_started.py</span></code>)</p></li>
+<li><p><strong>00:00.539</strong>: <a class="reference internal" href="matrix_multiply.html#sphx-glr-topic-vta-tutorials-matrix-multiply-py"><span class="std std-ref">Simple Matrix Multiply</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply.py</span></code>)</p></li>
+<li><p><strong>00:00.524</strong>: <a class="reference internal" href="vta_get_started.html#sphx-glr-topic-vta-tutorials-vta-get-started-py"><span class="std std-ref">Get Started with VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">vta_get_started.py</span></code>)</p></li>
</ul>
</div>
diff --git a/docs/tutorial/auto_scheduler_matmul_x86.html b/docs/tutorial/auto_scheduler_matmul_x86.html
index c597af0c3..3dc17ef83 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -453,7 +453,7 @@ trials, we can load the best schedule from the log file and apply it.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>*E
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>.T
</pre></div>
</div>
</div>
@@ -545,7 +545,7 @@ operator fusion.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.931 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.314 ms
</pre></div>
</div>
</div>
@@ -621,7 +621,7 @@ automatically optimize a matrix multiplication, without the need to specify a
search template. It ends a series of examples that starts from the Tensor
Expression (TE) language that demonstrates how TVM can optimize computational
operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 16.358 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 0.925 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-auto-scheduler-matmul-x86-py">
<div class="sphx-glr-download docutils container">
<p><a class="reference download internal" download="" href="../_downloads/eac4389b114db015e95cb3cdf8b86b83/auto_scheduler_matmul_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">auto_scheduler_matmul_x86.py</span></code></a></p>
diff --git a/docs/tutorial/autotvm_relay_x86.html b/docs/tutorial/autotvm_relay_x86.html
index 1c1c792c4..f6eb62a6c 100644
--- a/docs/tutorial/autotvm_relay_x86.html
+++ b/docs/tutorial/autotvm_relay_x86.html
@@ -516,7 +516,7 @@ standard deviation.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 493.7059949399998, 'median': 493.5133528999984, 'std': 0.5870097948846303}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 491.7521707400738, 'median': 491.2931180497253, 'std': 1.277808508191186}
</pre></div>
</div>
</div>
@@ -670,179 +670,179 @@ depending on the specifics of the model and the target platform.</p>
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 17.51/ 17.51 GFLOPS | Progress: (4/20) | 5.48 s
-[Task 1/25] Current/Best: 6.13/ 17.51 GFLOPS | Progress: (8/20) | 8.79 s
-[Task 1/25] Current/Best: 11.54/ 22.80 GFLOPS | Progress: (12/20) | 11.20 s
-[Task 1/25] Current/Best: 16.79/ 22.82 GFLOPS | Progress: (16/20) | 12.87 s
-[Task 1/25] Current/Best: 11.64/ 23.92 GFLOPS | Progress: (20/20) | 14.58 s Done.
+[Task 1/25] Current/Best: 17.57/ 17.57 GFLOPS | Progress: (4/20) | 5.41 s
+[Task 1/25] Current/Best: 6.17/ 17.57 GFLOPS | Progress: (8/20) | 8.81 s
+[Task 1/25] Current/Best: 11.54/ 22.79 GFLOPS | Progress: (12/20) | 11.22 s
+[Task 1/25] Current/Best: 16.77/ 22.87 GFLOPS | Progress: (16/20) | 12.89 s
+[Task 1/25] Current/Best: 11.61/ 23.86 GFLOPS | Progress: (20/20) | 14.61 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 12.31/ 13.03 GFLOPS | Progress: (4/20) | 3.67 s
-[Task 2/25] Current/Best: 14.10/ 18.41 GFLOPS | Progress: (8/20) | 4.96 s
-[Task 2/25] Current/Best: 21.05/ 21.05 GFLOPS | Progress: (12/20) | 6.27 s
-[Task 2/25] Current/Best: 13.14/ 21.05 GFLOPS | Progress: (16/20) | 7.52 s
-[Task 2/25] Current/Best: 19.57/ 21.05 GFLOPS | Progress: (20/20) | 9.05 s Done.
+[Task 2/25] Current/Best: 12.11/ 13.22 GFLOPS | Progress: (4/20) | 3.53 s
+[Task 2/25] Current/Best: 14.25/ 19.04 GFLOPS | Progress: (8/20) | 4.80 s
+[Task 2/25] Current/Best: 20.92/ 20.92 GFLOPS | Progress: (12/20) | 6.10 s
+[Task 2/25] Current/Best: 12.57/ 20.92 GFLOPS | Progress: (16/20) | 7.38 s
+[Task 2/25] Current/Best: 20.15/ 20.92 GFLOPS | Progress: (20/20) | 8.91 s Done.
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 3/25] Current/Best: 1.63/ 10.56 GFLOPS | Progress: (4/20) | 5.77 s
-[Task 3/25] Current/Best: 15.59/ 16.88 GFLOPS | Progress: (8/20) | 7.67 s
-[Task 3/25] Current/Best: 14.93/ 16.88 GFLOPS | Progress: (12/20) | 9.38 s
-[Task 3/25] Current/Best: 7.20/ 23.79 GFLOPS | Progress: (16/20) | 11.27 s
-[Task 3/25] Current/Best: 12.42/ 23.79 GFLOPS | Progress: (20/20) | 15.80 s Done.
+[Task 3/25] Current/Best: 1.63/ 10.52 GFLOPS | Progress: (4/20) | 5.77 s
+[Task 3/25] Current/Best: 15.59/ 16.84 GFLOPS | Progress: (8/20) | 7.67 s
+[Task 3/25] Current/Best: 14.91/ 16.84 GFLOPS | Progress: (12/20) | 9.42 s
+[Task 3/25] Current/Best: 7.21/ 23.71 GFLOPS | Progress: (16/20) | 11.33 s
+[Task 3/25] Current/Best: 12.11/ 23.71 GFLOPS | Progress: (20/20) | 15.80 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 9.55/ 20.42 GFLOPS | Progress: (4/20) | 2.29 s
-[Task 4/25] Current/Best: 6.86/ 20.42 GFLOPS | Progress: (8/20) | 6.54 s
-[Task 4/25] Current/Best: 21.42/ 21.42 GFLOPS | Progress: (12/20) | 11.05 s
-[Task 4/25] Current/Best: 16.94/ 21.42 GFLOPS | Progress: (16/20) | 13.23 s
-[Task 4/25] Current/Best: 13.05/ 21.42 GFLOPS | Progress: (20/20) | 15.26 s Done.
+[Task 4/25] Current/Best: 9.54/ 20.39 GFLOPS | Progress: (4/20) | 2.30 s
+[Task 4/25] Current/Best: 6.86/ 20.39 GFLOPS | Progress: (8/20) | 6.54 s
+[Task 4/25] Current/Best: 22.23/ 22.23 GFLOPS | Progress: (12/20) | 10.90 s
+[Task 4/25] Current/Best: 17.45/ 22.23 GFLOPS | Progress: (16/20) | 13.08 s
+[Task 4/25] Current/Best: 13.33/ 22.23 GFLOPS | Progress: (20/20) | 15.07 s Done.
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 5/25] Current/Best: 9.99/ 10.44 GFLOPS | Progress: (4/20) | 2.51 s
-[Task 5/25] Current/Best: 11.69/ 12.82 GFLOPS | Progress: (8/20) | 4.56 s
-[Task 5/25] Current/Best: 11.66/ 17.99 GFLOPS | Progress: (12/20) | 7.65 s
-[Task 5/25] Current/Best: 11.65/ 22.64 GFLOPS | Progress: (16/20) | 9.10 s
-[Task 5/25] Current/Best: 11.97/ 22.64 GFLOPS | Progress: (20/20) | 10.95 s Done.
+[Task 5/25] Current/Best: 9.91/ 10.45 GFLOPS | Progress: (4/20) | 2.49 s
+[Task 5/25] Current/Best: 11.91/ 12.81 GFLOPS | Progress: (8/20) | 4.54 s
+[Task 5/25] Current/Best: 11.21/ 18.03 GFLOPS | Progress: (12/20) | 7.65 s
+[Task 5/25] Current/Best: 12.01/ 22.75 GFLOPS | Progress: (16/20) | 9.05 s
+[Task 5/25] Current/Best: 12.09/ 22.75 GFLOPS | Progress: (20/20) | 10.88 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 12.20/ 20.79 GFLOPS | Progress: (4/20) | 3.89 s
-[Task 6/25] Current/Best: 18.95/ 20.79 GFLOPS | Progress: (8/20) | 5.66 s
-[Task 6/25] Current/Best: 13.31/ 20.79 GFLOPS | Progress: (12/20) | 7.59 s
-[Task 6/25] Current/Best: 19.95/ 20.79 GFLOPS | Progress: (16/20) | 9.87 s
-[Task 6/25] Current/Best: 3.74/ 20.79 GFLOPS | Progress: (20/20) | 12.40 s Done.
+[Task 6/25] Current/Best: 12.22/ 20.73 GFLOPS | Progress: (4/20) | 3.83 s
+[Task 6/25] Current/Best: 19.06/ 20.73 GFLOPS | Progress: (8/20) | 5.60 s
+[Task 6/25] Current/Best: 13.20/ 20.73 GFLOPS | Progress: (12/20) | 7.51 s
+[Task 6/25] Current/Best: 20.00/ 20.73 GFLOPS | Progress: (16/20) | 9.75 s
+[Task 6/25] Current/Best: 3.73/ 20.73 GFLOPS | Progress: (20/20) | 12.25 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 11.23/ 12.75 GFLOPS | Progress: (4/20) | 3.53 s
-[Task 7/25] Current/Best: 20.30/ 21.19 GFLOPS | Progress: (8/20) | 5.03 s
-[Task 7/25] Current/Best: 8.79/ 21.19 GFLOPS | Progress: (12/20) | 7.07 s
-[Task 7/25] Current/Best: 12.27/ 21.19 GFLOPS | Progress: (16/20) | 9.10 s
-[Task 7/25] Current/Best: 6.33/ 21.90 GFLOPS | Progress: (20/20) | 11.54 s Done.
+[Task 7/25] Current/Best: 11.26/ 13.01 GFLOPS | Progress: (4/20) | 3.50 s
+[Task 7/25] Current/Best: 20.31/ 21.17 GFLOPS | Progress: (8/20) | 4.99 s
+[Task 7/25] Current/Best: 16.19/ 21.17 GFLOPS | Progress: (12/20) | 6.88 s
+[Task 7/25] Current/Best: 12.25/ 21.17 GFLOPS | Progress: (16/20) | 8.91 s
+[Task 7/25] Current/Best: 6.42/ 21.72 GFLOPS | Progress: (20/20) | 11.36 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 10.24/ 14.28 GFLOPS | Progress: (4/20) | 2.85 s
-[Task 8/25] Current/Best: 9.86/ 14.28 GFLOPS | Progress: (8/20) | 7.64 s
-[Task 8/25] Current/Best: 12.91/ 14.28 GFLOPS | Progress: (12/20) | 13.72 s
-[Task 8/25] Current/Best: 18.89/ 18.89 GFLOPS | Progress: (16/20) | 15.80 s
-[Task 8/25] Current/Best: 19.86/ 19.86 GFLOPS | Progress: (20/20) | 22.26 s Done.
+[Task 8/25] Current/Best: 10.00/ 13.93 GFLOPS | Progress: (4/20) | 2.85 s
+[Task 8/25] Current/Best: 9.52/ 13.93 GFLOPS | Progress: (8/20) | 7.55 s
+[Task 8/25] Current/Best: 12.76/ 13.93 GFLOPS | Progress: (12/20) | 13.60 s
+[Task 8/25] Current/Best: 19.00/ 19.00 GFLOPS | Progress: (16/20) | 15.67 s
+[Task 8/25] Current/Best: 20.30/ 20.30 GFLOPS | Progress: (20/20) | 22.08 s Done.
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 14.31/ 15.49 GFLOPS | Progress: (4/20) | 17.25 s
-[Task 9/25] Current/Best: 23.54/ 23.54 GFLOPS | Progress: (8/20) | 18.94 s
-[Task 9/25] Current/Best: 8.27/ 23.54 GFLOPS | Progress: (12/20) | 21.30 s
-[Task 9/25] Current/Best: 17.50/ 23.54 GFLOPS | Progress: (16/20) | 23.83 s
-[Task 9/25] Current/Best: 9.07/ 23.54 GFLOPS | Progress: (20/20) | 31.43 s
+[Task 9/25] Current/Best: 14.41/ 15.84 GFLOPS | Progress: (4/20) | 17.22 s
+[Task 9/25] Current/Best: 23.46/ 23.46 GFLOPS | Progress: (8/20) | 18.96 s
+[Task 9/25] Current/Best: 8.20/ 23.46 GFLOPS | Progress: (12/20) | 21.33 s
+[Task 9/25] Current/Best: 17.99/ 23.46 GFLOPS | Progress: (16/20) | 23.95 s
+[Task 9/25] Current/Best: 9.10/ 23.46 GFLOPS | Progress: (20/20) | 31.54 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 18.17/ 18.17 GFLOPS | Progress: (4/20) | 2.48 s
-[Task 10/25] Current/Best: 15.47/ 18.17 GFLOPS | Progress: (8/20) | 4.04 s
-[Task 10/25] Current/Best: 11.90/ 18.95 GFLOPS | Progress: (12/20) | 5.56 s
-[Task 10/25] Current/Best: 19.15/ 20.44 GFLOPS | Progress: (16/20) | 6.67 s
-[Task 10/25] Current/Best: 8.90/ 20.44 GFLOPS | Progress: (20/20) | 8.18 s Done.
+[Task 10/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (4/20) | 2.46 s
+[Task 10/25] Current/Best: 15.41/ 18.15 GFLOPS | Progress: (8/20) | 4.01 s
+[Task 10/25] Current/Best: 12.92/ 18.93 GFLOPS | Progress: (12/20) | 5.53 s
+[Task 10/25] Current/Best: 19.08/ 20.46 GFLOPS | Progress: (16/20) | 6.61 s
+[Task 10/25] Current/Best: 8.85/ 20.46 GFLOPS | Progress: (20/20) | 8.13 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 12.33/ 18.09 GFLOPS | Progress: (4/20) | 3.22 s
-[Task 11/25] Current/Best: 16.91/ 18.09 GFLOPS | Progress: (8/20) | 5.95 s
-[Task 11/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (12/20) | 7.99 s
-[Task 11/25] Current/Best: 13.36/ 21.19 GFLOPS | Progress: (16/20) | 10.75 s
-[Task 11/25] Current/Best: 19.49/ 21.63 GFLOPS | Progress: (20/20) | 12.76 s Done.
+[Task 11/25] Current/Best: 12.32/ 18.12 GFLOPS | Progress: (4/20) | 3.18 s
+[Task 11/25] Current/Best: 15.21/ 18.12 GFLOPS | Progress: (8/20) | 5.88 s
+[Task 11/25] Current/Best: 18.04/ 18.12 GFLOPS | Progress: (12/20) | 7.88 s
+[Task 11/25] Current/Best: 13.52/ 21.24 GFLOPS | Progress: (16/20) | 10.67 s
+[Task 11/25] Current/Best: 19.47/ 21.60 GFLOPS | Progress: (20/20) | 12.69 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 7.79/ 17.92 GFLOPS | Progress: (4/20) | 5.22 s
-[Task 12/25] Current/Best: 5.30/ 17.92 GFLOPS | Progress: (8/20) | 8.88 s
-[Task 12/25] Current/Best: 18.92/ 18.92 GFLOPS | Progress: (12/20) | 10.87 s
-[Task 12/25] Current/Best: 15.33/ 18.92 GFLOPS | Progress: (16/20) | 13.61 s
-[Task 12/25] Current/Best: 15.17/ 18.92 GFLOPS | Progress: (20/20) | 15.51 s Done.
+[Task 12/25] Current/Best: 7.68/ 18.05 GFLOPS | Progress: (4/20) | 5.26 s
+[Task 12/25] Current/Best: 5.31/ 18.05 GFLOPS | Progress: (8/20) | 8.92 s
+[Task 12/25] Current/Best: 19.10/ 19.10 GFLOPS | Progress: (12/20) | 10.89 s
+[Task 12/25] Current/Best: 15.16/ 19.10 GFLOPS | Progress: (16/20) | 13.65 s
+[Task 12/25] Current/Best: 15.06/ 19.10 GFLOPS | Progress: (20/20) | 15.57 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 8.73/ 17.30 GFLOPS | Progress: (4/20) | 3.59 s
-[Task 13/25] Current/Best: 16.10/ 21.02 GFLOPS | Progress: (8/20) | 5.98 s
-[Task 13/25] Current/Best: 19.62/ 21.74 GFLOPS | Progress: (12/20) | 8.82 s
-[Task 13/25] Current/Best: 12.30/ 21.74 GFLOPS | Progress: (16/20) | 12.17 s
-[Task 13/25] Current/Best: 18.88/ 21.74 GFLOPS | Progress: (20/20) | 14.42 s Done.
+[Task 13/25] Current/Best: 8.76/ 17.26 GFLOPS | Progress: (4/20) | 3.55 s
+[Task 13/25] Current/Best: 16.01/ 21.00 GFLOPS | Progress: (8/20) | 5.97 s
+[Task 13/25] Current/Best: 19.38/ 21.66 GFLOPS | Progress: (12/20) | 8.88 s
+[Task 13/25] Current/Best: 12.26/ 21.66 GFLOPS | Progress: (16/20) | 12.28 s
+[Task 13/25] Current/Best: 18.94/ 21.66 GFLOPS | Progress: (20/20) | 14.52 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 13.62/ 13.62 GFLOPS | Progress: (4/20) | 3.16 s
-[Task 14/25] Current/Best: 6.12/ 13.62 GFLOPS | Progress: (8/20) | 5.35 s
-[Task 14/25] Current/Best: 21.04/ 21.04 GFLOPS | Progress: (12/20) | 7.88 s
-[Task 14/25] Current/Best: 15.30/ 21.04 GFLOPS | Progress: (16/20) | 9.77 s
-[Task 14/25] Current/Best: 17.30/ 21.04 GFLOPS | Progress: (20/20) | 11.53 s
+[Task 14/25] Current/Best: 13.63/ 13.63 GFLOPS | Progress: (4/20) | 3.22 s
+[Task 14/25] Current/Best: 6.12/ 13.63 GFLOPS | Progress: (8/20) | 5.37 s
+[Task 14/25] Current/Best: 20.63/ 20.63 GFLOPS | Progress: (12/20) | 7.93 s
+[Task 14/25] Current/Best: 17.83/ 20.63 GFLOPS | Progress: (16/20) | 9.77 s
+[Task 14/25] Current/Best: 16.89/ 20.63 GFLOPS | Progress: (20/20) | 11.55 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-[Task 15/25] Current/Best: 16.19/ 17.62 GFLOPS | Progress: (4/20) | 2.59 s
-[Task 15/25] Current/Best: 13.34/ 18.15 GFLOPS | Progress: (8/20) | 4.04 s
-[Task 15/25] Current/Best: 10.39/ 22.24 GFLOPS | Progress: (12/20) | 6.07 s
-[Task 15/25] Current/Best: 20.17/ 22.24 GFLOPS | Progress: (16/20) | 8.92 s
-[Task 15/25] Current/Best: 9.61/ 22.24 GFLOPS | Progress: (20/20) | 10.11 s
+[Task 15/25] Current/Best: 16.17/ 17.64 GFLOPS | Progress: (4/20) | 2.61 s
+[Task 15/25] Current/Best: 14.34/ 18.11 GFLOPS | Progress: (8/20) | 4.06 s
+[Task 15/25] Current/Best: 10.34/ 22.30 GFLOPS | Progress: (12/20) | 6.12 s
+[Task 15/25] Current/Best: 20.39/ 22.30 GFLOPS | Progress: (16/20) | 8.99 s
+[Task 15/25] Current/Best: 9.66/ 22.30 GFLOPS | Progress: (20/20) | 10.13 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 19.43/ 19.43 GFLOPS | Progress: (4/20) | 2.92 s
-[Task 16/25] Current/Best: 3.04/ 19.43 GFLOPS | Progress: (8/20) | 4.53 s
-[Task 16/25] Current/Best: 19.37/ 19.45 GFLOPS | Progress: (12/20) | 5.75 s
-[Task 16/25] Current/Best: 18.20/ 19.45 GFLOPS | Progress: (16/20) | 7.08 s
-[Task 16/25] Current/Best: 10.08/ 21.96 GFLOPS | Progress: (20/20) | 9.10 s Done.
+[Task 16/25] Current/Best: 20.83/ 20.83 GFLOPS | Progress: (4/20) | 2.83 s
+[Task 16/25] Current/Best: 3.04/ 20.83 GFLOPS | Progress: (8/20) | 4.43 s
+[Task 16/25] Current/Best: 19.46/ 20.83 GFLOPS | Progress: (12/20) | 5.64 s
+[Task 16/25] Current/Best: 18.40/ 20.83 GFLOPS | Progress: (16/20) | 6.97 s
+[Task 16/25] Current/Best: 9.99/ 22.16 GFLOPS | Progress: (20/20) | 8.98 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 13.30/ 18.86 GFLOPS | Progress: (4/20) | 4.59 s
-[Task 17/25] Current/Best: 14.51/ 23.26 GFLOPS | Progress: (8/20) | 7.31 s
-[Task 17/25] Current/Best: 17.07/ 23.26 GFLOPS | Progress: (12/20) | 9.36 s
-[Task 17/25] Current/Best: 16.53/ 23.26 GFLOPS | Progress: (16/20) | 11.49 s
-[Task 17/25] Current/Best: 9.95/ 23.26 GFLOPS | Progress: (20/20) | 13.60 s Done.
+[Task 17/25] Current/Best: 12.88/ 18.85 GFLOPS | Progress: (4/20) | 4.60 s
+[Task 17/25] Current/Best: 14.39/ 23.14 GFLOPS | Progress: (8/20) | 7.45 s
+[Task 17/25] Current/Best: 16.79/ 23.14 GFLOPS | Progress: (12/20) | 9.49 s
+[Task 17/25] Current/Best: 16.44/ 23.14 GFLOPS | Progress: (16/20) | 11.62 s
+[Task 17/25] Current/Best: 10.05/ 23.14 GFLOPS | Progress: (20/20) | 13.73 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 11.29/ 17.88 GFLOPS | Progress: (4/20) | 3.61 s
-[Task 18/25] Current/Best: 10.56/ 19.92 GFLOPS | Progress: (8/20) | 6.98 s
-[Task 18/25] Current/Best: 19.16/ 19.92 GFLOPS | Progress: (12/20) | 8.89 s
-[Task 18/25] Current/Best: 10.17/ 19.92 GFLOPS | Progress: (16/20) | 12.51 s
-[Task 18/25] Current/Best: 20.86/ 20.86 GFLOPS | Progress: (20/20) | 14.00 s Done.
+[Task 18/25] Current/Best: 11.38/ 18.06 GFLOPS | Progress: (4/20) | 3.59 s
+[Task 18/25] Current/Best: 10.57/ 20.09 GFLOPS | Progress: (8/20) | 6.94 s
+[Task 18/25] Current/Best: 19.54/ 20.09 GFLOPS | Progress: (12/20) | 8.87 s
+[Task 18/25] Current/Best: 10.09/ 20.09 GFLOPS | Progress: (16/20) | 12.45 s
+[Task 18/25] Current/Best: 20.56/ 20.56 GFLOPS | Progress: (20/20) | 13.94 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 7.24/ 20.35 GFLOPS | Progress: (4/20) | 5.91 s
-[Task 19/25] Current/Best: 2.60/ 20.35 GFLOPS | Progress: (8/20) | 9.21 s
-[Task 19/25] Current/Best: 20.14/ 21.75 GFLOPS | Progress: (12/20) | 11.97 s
-[Task 19/25] Current/Best: 14.58/ 22.01 GFLOPS | Progress: (16/20) | 14.83 s
-[Task 19/25] Current/Best: 2.70/ 23.84 GFLOPS | Progress: (20/20) | 17.56 s Done.
+[Task 19/25] Current/Best: 7.24/ 20.41 GFLOPS | Progress: (4/20) | 5.90 s
+[Task 19/25] Current/Best: 2.60/ 20.41 GFLOPS | Progress: (8/20) | 9.17 s
+[Task 19/25] Current/Best: 19.75/ 21.81 GFLOPS | Progress: (12/20) | 11.97 s
+[Task 19/25] Current/Best: 15.34/ 21.81 GFLOPS | Progress: (16/20) | 14.77 s
+[Task 19/25] Current/Best: 2.70/ 23.70 GFLOPS | Progress: (20/20) | 17.54 s Done.
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 10.05/ 15.42 GFLOPS | Progress: (4/20) | 3.18 s
-[Task 20/25] Current/Best: 9.77/ 15.42 GFLOPS | Progress: (8/20) | 6.62 s
-[Task 20/25] Current/Best: 2.32/ 16.65 GFLOPS | Progress: (12/20) | 10.47 s Done.
+[Task 20/25] Current/Best: 9.08/ 15.57 GFLOPS | Progress: (4/20) | 3.23 s
+[Task 20/25] Current/Best: 9.79/ 15.57 GFLOPS | Progress: (8/20) | 6.66 s
+[Task 20/25] Current/Best: 2.32/ 16.58 GFLOPS | Progress: (12/20) | 10.68 s Done.
-[Task 20/25] Current/Best: 12.44/ 16.65 GFLOPS | Progress: (16/20) | 14.15 s
-[Task 20/25] Current/Best: 13.82/ 22.21 GFLOPS | Progress: (20/20) | 16.22 s Done.
+[Task 20/25] Current/Best: 12.43/ 16.58 GFLOPS | Progress: (16/20) | 14.37 s
+[Task 20/25] Current/Best: 11.89/ 22.21 GFLOPS | Progress: (20/20) | 16.46 s Done.
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25] Current/Best: 6.43/ 17.70 GFLOPS | Progress: (4/20) | 3.15 s
-[Task 21/25] Current/Best: 14.62/ 17.70 GFLOPS | Progress: (8/20) | 4.73 s
-[Task 21/25] Current/Best: 1.61/ 17.70 GFLOPS | Progress: (12/20) | 6.85 s
-[Task 21/25] Current/Best: 18.04/ 18.04 GFLOPS | Progress: (16/20) | 10.23 s
-[Task 21/25] Current/Best: 4.46/ 18.04 GFLOPS | Progress: (20/20) | 17.27 s
+[Task 21/25] Current/Best: 6.42/ 17.57 GFLOPS | Progress: (4/20) | 3.13 s
+[Task 21/25] Current/Best: 14.67/ 17.57 GFLOPS | Progress: (8/20) | 4.66 s
+[Task 21/25] Current/Best: 1.61/ 17.57 GFLOPS | Progress: (12/20) | 6.76 s
+[Task 21/25] Current/Best: 18.07/ 18.07 GFLOPS | Progress: (16/20) | 10.15 s
+[Task 21/25] Current/Best: 4.47/ 18.07 GFLOPS | Progress: (20/20) | 17.16 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 2.70/ 17.03 GFLOPS | Progress: (4/20) | 2.59 s
-[Task 22/25] Current/Best: 8.65/ 22.00 GFLOPS | Progress: (8/20) | 4.57 s
-[Task 22/25] Current/Best: 19.94/ 22.00 GFLOPS | Progress: (12/20) | 6.87 s
-[Task 22/25] Current/Best: 15.52/ 22.00 GFLOPS | Progress: (16/20) | 8.90 s
-[Task 22/25] Current/Best: 14.28/ 22.00 GFLOPS | Progress: (20/20) | 10.55 s Done.
+[Task 22/25] Current/Best: 2.71/ 17.02 GFLOPS | Progress: (4/20) | 2.59 s
+[Task 22/25] Current/Best: 8.61/ 21.87 GFLOPS | Progress: (8/20) | 4.56 s
+[Task 22/25] Current/Best: 19.97/ 21.87 GFLOPS | Progress: (12/20) | 6.87 s
+[Task 22/25] Current/Best: 15.45/ 21.87 GFLOPS | Progress: (16/20) | 8.88 s
+[Task 22/25] Current/Best: 13.97/ 21.87 GFLOPS | Progress: (20/20) | 10.59 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 17.56/ 20.49 GFLOPS | Progress: (4/20) | 3.17 s
-[Task 23/25] Current/Best: 15.83/ 20.49 GFLOPS | Progress: (8/20) | 6.53 s
-[Task 23/25] Current/Best: 20.85/ 21.64 GFLOPS | Progress: (12/20) | 8.35 s
-[Task 23/25] Current/Best: 6.39/ 21.64 GFLOPS | Progress: (16/20) | 15.33 s
-[Task 23/25] Current/Best: 7.98/ 21.64 GFLOPS | Progress: (20/20) | 19.51 s Done.
+[Task 23/25] Current/Best: 17.53/ 20.79 GFLOPS | Progress: (4/20) | 3.15 s
+[Task 23/25] Current/Best: 15.90/ 20.79 GFLOPS | Progress: (8/20) | 6.40 s
+[Task 23/25] Current/Best: 21.09/ 21.84 GFLOPS | Progress: (12/20) | 8.18 s
+[Task 23/25] Current/Best: 6.48/ 21.84 GFLOPS | Progress: (16/20) | 15.14 s
+[Task 23/25] Current/Best: 7.92/ 21.84 GFLOPS | Progress: (20/20) | 19.34 s Done.
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 8.27/ 8.27 GFLOPS | Progress: (4/20) | 13.61 s
-[Task 24/25] Current/Best: 2.10/ 8.27 GFLOPS | Progress: (8/20) | 30.04 s
-[Task 24/25] Current/Best: 4.50/ 8.27 GFLOPS | Progress: (12/20) | 52.50 s
-[Task 24/25] Current/Best: 5.93/ 8.74 GFLOPS | Progress: (16/20) | 57.79 s Done.
+[Task 24/25] Current/Best: 8.56/ 8.56 GFLOPS | Progress: (4/20) | 13.20 s
+[Task 24/25] Current/Best: 3.73/ 8.56 GFLOPS | Progress: (8/20) | 28.78 s
+[Task 24/25] Current/Best: 4.50/ 8.56 GFLOPS | Progress: (12/20) | 51.13 s
+[Task 24/25] Current/Best: 6.37/ 8.57 GFLOPS | Progress: (16/20) | 56.42 s Done.
-[Task 24/25] Current/Best: 3.38/ 9.01 GFLOPS | Progress: (20/20) | 63.61 s Done.
+[Task 24/25] Current/Best: 3.37/ 8.77 GFLOPS | Progress: (20/20) | 62.27 s Done.
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25] Current/Best: 1.55/ 2.76 GFLOPS | Progress: (4/20) | 32.38 s
-[Task 25/25] Current/Best: 5.67/ 7.81 GFLOPS | Progress: (8/20) | 323.94 s
-[Task 25/25] Current/Best: 5.90/ 7.81 GFLOPS | Progress: (12/20) | 352.28 s
-[Task 25/25] Current/Best: 5.80/ 9.78 GFLOPS | Progress: (16/20) | 354.13 s
-[Task 25/25] Current/Best: 2.89/ 9.78 GFLOPS | Progress: (20/20) | 374.08 s
+[Task 25/25] Current/Best: 1.55/ 2.81 GFLOPS | Progress: (4/20) | 32.39 s
+[Task 25/25] Current/Best: 6.03/ 8.19 GFLOPS | Progress: (8/20) | 62.73 s
+[Task 25/25] Current/Best: 5.90/ 8.19 GFLOPS | Progress: (12/20) | 90.98 s
+[Task 25/25] Current/Best: 5.85/ 8.80 GFLOPS | Progress: (16/20) | 92.84 s
+[Task 25/25] Current/Best: 2.85/ 8.88 GFLOPS | Progress: (20/20) | 112.89 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -943,8 +943,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 412.19644345999313, 'median': 412.37098235000076, 'std': 0.8896105969380994}
-unoptimized: {'mean': 493.7059949399998, 'median': 493.5133528999984, 'std': 0.5870097948846303}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 411.9186274700769, 'median': 411.9606426003884, 'std': 1.126089834134449}
+unoptimized: {'mean': 491.7521707400738, 'median': 491.2931180497253, 'std': 1.277808508191186}
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