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Posted to commits@tvm.apache.org by tq...@apache.org on 2022/09/22 22:57:37 UTC
[tvm-site] branch asf-site updated: deploying docs (apache/tvm@86f9580498e7d4b5c826e7ae55b05f2a4e35a95c)
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 22a71e4779 deploying docs (apache/tvm@86f9580498e7d4b5c826e7ae55b05f2a4e35a95c)
22a71e4779 is described below
commit 22a71e4779d709600f2e21a935868d1fee2205a9
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Thu Sep 22 22:57:29 2022 +0000
deploying docs (apache/tvm@86f9580498e7d4b5c826e7ae55b05f2a4e35a95c)
---
docs/_images/sphx_glr_micro_train_001.png | Bin 324216 -> 344037 bytes
docs/_images/sphx_glr_micro_train_thumb.png | Bin 23634 -> 24159 bytes
.../how_to/compile_models/from_darknet.rst.txt | 2 +-
.../how_to/compile_models/from_keras.rst.txt | 2 +-
.../how_to/compile_models/from_mxnet.rst.txt | 2 +-
.../how_to/compile_models/from_oneflow.rst.txt | 2 +-
.../how_to/compile_models/from_pytorch.rst.txt | 2 +-
.../how_to/compile_models/from_tensorflow.rst.txt | 2 +-
.../compile_models/sg_execution_times.rst.txt | 22 +-
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.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 4 +-
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225 files changed, 15538 insertions(+), 16772 deletions(-)
diff --git a/docs/_images/sphx_glr_micro_train_001.png b/docs/_images/sphx_glr_micro_train_001.png
index 58230570fb..457bf652be 100644
Binary files a/docs/_images/sphx_glr_micro_train_001.png and b/docs/_images/sphx_glr_micro_train_001.png differ
diff --git a/docs/_images/sphx_glr_micro_train_thumb.png b/docs/_images/sphx_glr_micro_train_thumb.png
index c7f45c5bc4..13642b47f1 100644
Binary files a/docs/_images/sphx_glr_micro_train_thumb.png and b/docs/_images/sphx_glr_micro_train_thumb.png differ
diff --git a/docs/_sources/how_to/compile_models/from_darknet.rst.txt b/docs/_sources/how_to/compile_models/from_darknet.rst.txt
index 2b5422a6fe..d6beb07be3 100644
--- a/docs/_sources/how_to/compile_models/from_darknet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_darknet.rst.txt
@@ -315,7 +315,7 @@ The process is no different from other examples.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 2.345 seconds)
+ **Total running time of the script:** ( 1 minutes 5.563 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_keras.rst.txt b/docs/_sources/how_to/compile_models/from_keras.rst.txt
index 509c185f80..708d08ba2a 100644
--- a/docs/_sources/how_to/compile_models/from_keras.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_keras.rst.txt
@@ -228,7 +228,7 @@ Look up prediction top 1 index in 1000 class synset.
.. code-block:: none
Relay top-1 id: 285, class name: Egyptian cat
-
1/1 [==============================] - ETA: 0s
1/1 [==============================] - 1s 952ms/step
+
1/1 [==============================] - ETA: 0s
1/1 [==============================] - 1s 957ms/step
Keras top-1 id: 285, class name: Egyptian cat
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 81176c4da9..cf109f1c8e 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -115,7 +115,7 @@ In this section, we download a pretrained imagenet model and classify an image.
.. code-block:: none
- Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipb4fe9518-3411-4a64-8110-b3cf781ae214 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+ Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip463ba136-54d2-4d4d-ab69-698d3f3f475e 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 a37a075804..7867a36453 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -116,7 +116,7 @@ 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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+
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35%|###4 | 14.3M/41.5M [00:00<00:00, 39.0MB/s]
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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 d2f69bc687..b890a1071e 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -94,7 +94,7 @@ 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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+
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99%|#########9| 44.3M/44.7M [00:00<00:00, 74.3MB/s]
100%|##########| 44.7M/44.7M [00:00<00:00, 66.2MB/s]
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 de44ff9918..4ede59576a 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -416,7 +416,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 3.087 seconds)
+ **Total running time of the script:** ( 1 minutes 7.128 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 c2c2d7c62a..86ce550570 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
@@ -5,26 +5,26 @@
Computation times
=================
-**05:02.529** total execution time for **how_to_compile_models** files:
+**05:14.906** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:03.087 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:07.128 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:02.345 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:05.563 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:38.976 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:40.411 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:27.497 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:28.722 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:26.280 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:25.822 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:24.429 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:24.844 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:21.363 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:22.371 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:19.564 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:20.633 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:16.439 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:16.939 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.550 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.472 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
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 c90b45682c..8ea2698a73 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
@@ -434,7 +434,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 15.6156 15.5715 15.9768 15.5318 0.1261
+ 16.0366 16.0398 16.1491 15.9448 0.0654
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 7cd7c546f9..3ebed11dcd 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
@@ -123,7 +123,7 @@ 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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89%|########9 | 152M/170M [00:00<00:00, 193MB/s]
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+
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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').
@@ -288,7 +288,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 54.438 seconds)
+ **Total running time of the script:** ( 3 minutes 5.656 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 0b62abe741..fd95bfb43a 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -232,7 +232,7 @@ 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
-
0%| | 0.00/13.6M [00:00<?, ?B/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 156MB/s]
+
0%| | 0.00/13.6M [00:00<?, ?B/s]
7%|7 | 992k/13.6M [00:00<00:01, 10.1MB/s]
58%|#####7 | 7.80M/13.6M [00:00<00:00, 46.3MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 51.1MB/s]
@@ -405,7 +405,7 @@ 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)
- 90.1920 90.1001 92.8598 89.9293 0.3587
+ 90.4737 90.2745 99.3943 90.0481 1.0055
@@ -454,7 +454,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 7.664 seconds)
+ **Total running time of the script:** ( 1 minutes 9.732 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 dd0176f589..b8a72f8e9a 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
@@ -432,7 +432,7 @@ 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)
- 119.2496 119.4333 122.3497 117.1914 1.0613
+ 120.7512 120.7503 123.2211 119.6351 0.4774
@@ -469,7 +469,7 @@ 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 52.227 seconds)
+ **Total running time of the script:** ( 1 minutes 52.425 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 6417836cd3..2d9b5773c6 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -253,7 +253,7 @@ We create a Relay VM to build and execute the model.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 22.168 seconds)
+ **Total running time of the script:** ( 1 minutes 27.854 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 b0f1acd260..80014c4733 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
@@ -158,7 +158,7 @@ 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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@@ -234,7 +234,7 @@ Display result
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 33.980 seconds)
+ **Total running time of the script:** ( 2 minutes 39.410 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 81d2d1c997..42e721ca96 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
@@ -5,24 +5,24 @@
Computation times
=================
-**11:03.720** total execution time for **how_to_deploy_models** files:
+**11:31.085** total execution time for **how_to_deploy_models** files:
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 02:54.438 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:05.656 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``) | 02:33.980 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``) | 02:39.410 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 01:52.227 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 01:52.425 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:22.168 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:27.854 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:07.664 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:09.732 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:29.555 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:30.988 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:22.025 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:22.700 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:21.658 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:22.315 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.007 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
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 f1b4877015..f497cfc5b2 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
@@ -472,7 +472,7 @@ 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.zip18a0ccaa-7530-4369-9b75-790d8fb0e3ef from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+ Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipb3320105-0f8d-4b66-85f8-8e0c5717e4eb from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
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 f2c3ed10b8..907698c729 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
@@ -5,14 +5,14 @@
Computation times
=================
-**00:40.753** total execution time for **how_to_extend_tvm** files:
+**00:41.691** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:37.678 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:38.482 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.153 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.237 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:00.915 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:00.963 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.008 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
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 eb0bbb7a19..5629430c1d 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
@@ -216,10 +216,10 @@ profile the execution time of each passes.
.. code-block:: none
Printing results of timing profile...
- InferType: 6751us [6751us] (45.94%; 45.94%)
- FoldScaleAxis: 7945us [5us] (54.06%; 54.06%)
- FoldConstant: 7940us [1626us] (54.03%; 99.94%)
- InferType: 6313us [6313us] (42.96%; 79.52%)
+ InferType: 7128us [7128us] (47.01%; 47.01%)
+ FoldScaleAxis: 8034us [6us] (52.99%; 52.99%)
+ FoldConstant: 8028us [1697us] (52.95%; 99.92%)
+ InferType: 6330us [6330us] (41.75%; 78.86%)
@@ -258,10 +258,10 @@ Refer to following sections and :py:func:`tvm.instrument.pass_instrument` for th
.. code-block:: none
Printing results of timing profile...
- InferType: 6342us [6342us] (44.68%; 44.68%)
- FoldScaleAxis: 7852us [5us] (55.32%; 55.32%)
- FoldConstant: 7847us [1632us] (55.29%; 99.94%)
- InferType: 6215us [6215us] (43.79%; 79.20%)
+ InferType: 6356us [6356us] (44.46%; 44.46%)
+ FoldScaleAxis: 7941us [5us] (55.54%; 55.54%)
+ FoldConstant: 7936us [1690us] (55.51%; 99.93%)
+ InferType: 6246us [6246us] (43.69%; 78.70%)
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 5630d3bf18..18a5ab93a4 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
@@ -340,7 +340,7 @@ latency of convolution.
.. code-block:: none
- Convolution: 54.208480 ms
+ Convolution: 51.342174 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 d9d79889aa..f17260bb27 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
@@ -671,7 +671,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 6.682477 ms
+ conv2d with tensor core: 13.224876 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 d70848b16f..1a94e5998e 100644
--- a/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
@@ -143,8 +143,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
.. code-block:: none
- Numpy running time: 0.017839
- Baseline: 3.487118
+ Numpy running time: 0.018877
+ Baseline: 3.439012
@@ -239,7 +239,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.293766
+ Opt1: 0.305783
@@ -342,7 +342,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.330934
+ Opt2: 0.341164
@@ -438,7 +438,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.113946
+ Opt3: 0.121627
@@ -563,7 +563,7 @@ flattening.
.. code-block:: none
- Opt4: 0.109250
+ Opt4: 0.109966
@@ -685,7 +685,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.111532
+ Opt5: 0.111316
@@ -810,7 +810,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.147087
+ Opt6: 0.149171
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 29894fb4b8..257df22c96 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
@@ -5,12 +5,12 @@
Computation times
=================
-**00:34.556** total execution time for **how_to_optimize_operators** files:
+**00:35.278** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:32.220 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:32.641 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.290 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.448 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.046 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.189 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
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 817325eb64..a9d22a973f 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
@@ -5,18 +5,18 @@
Computation times
=================
-**06:26.086** total execution time for **how_to_tune_with_autoscheduler** files:
+**06:37.850** total execution time for **how_to_tune_with_autoscheduler** files:
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 03:21.096 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 03:39.142 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:22.136 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:23.975 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 00:56.053 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 00:57.111 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:29.591 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:19.662 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:08.701 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:09.060 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:08.509 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:08.901 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
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 de225f00fe..2853262e53 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
@@ -206,6 +206,13 @@ file and apply it.
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+ .T
+
+
@@ -240,316 +247,592 @@ 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" = 64;
- allocate(conv2d_nchw: Pointer(local float32), float32, [7]), storage_scope = local;
- allocate(pad_temp.shared: Pointer(shared float32), float32, [4032]), storage_scope = shared;
- allocate(kernel.shared: Pointer(shared float32), float32, [1536]), storage_scope = shared;
- attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- conv2d_nchw_1: Buffer(conv2d_nchw, float32, [7], [], scope="local", align=16)[0] = 0f32
+ attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 16;
+ allocate(conv2d_nchw: Pointer(local float32), float32, [14]), storage_scope = local;
+ allocate(pad_temp.shared: Pointer(shared float32), float32, [2592]), storage_scope = shared;
+ allocate(kernel.shared: Pointer(shared float32), float32, [9216]), storage_scope = shared;
+ attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
+ conv2d_nchw_1: Buffer(conv2d_nchw, float32, [49], [], scope="local", align=16)[0] = 0f32
+ conv2d_nchw_1[7] = 0f32
conv2d_nchw_1[1] = 0f32
+ conv2d_nchw_1[8] = 0f32
conv2d_nchw_1[2] = 0f32
+ conv2d_nchw_1[9] = 0f32
conv2d_nchw_1[3] = 0f32
+ conv2d_nchw_1[10] = 0f32
conv2d_nchw_1[4] = 0f32
+ conv2d_nchw_1[11] = 0f32
conv2d_nchw_1[5] = 0f32
+ conv2d_nchw_1[12] = 0f32
conv2d_nchw_1[6] = 0f32
- for (rc.outer.outer: int32, 0, 8) {
- for (rx.outer.outer: int32, 0, 3) {
- let cse_var_2: int32 = (rc.outer.outer*3136)
- let cse_var_1: int32 = (rc.outer.outer*576)
- {
- attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1: Buffer(pad_temp.shared, float32, [4032], [], scope="shared")[(threadIdx.x_1*2)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) - 8)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 1)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) - 8)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 112), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 112) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 113), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 224), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 224) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 225), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 336), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 336) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 337), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 448), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 448) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 449), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 560), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 560) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 561), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 672), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 672) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 673), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 784), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 784) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 785), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 896), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 896) [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 897), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 + [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 1008)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 776)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 1009)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 776)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1120), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 112 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1121), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1232), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 123 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1233), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1344), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 134 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1345), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1456), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 145 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1457), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1568), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 156 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1569), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1680), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 168 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1681), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1792), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 179 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1793), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1904), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 190 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1905), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 2016)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 1560)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 2017)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 1560)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2128), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 212 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2129), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2240), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 224 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2241), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2352), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 235 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2353), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2464), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 246 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2465), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2576), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 257 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2577), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2688), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 268 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2689), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2800), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 280 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2801), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2912), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 291 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2913), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 3024)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 2344)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 3025)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 2344)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3136), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 313 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3137), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3248), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 324 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3249), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3360), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 336 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3361), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3472), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 347 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3473), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3584), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 358 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3585), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3696), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 369 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3697), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3808), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 380 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3809), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3920), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 392 [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3921), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[(((((cse_var_2 [...]
- }
- attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1: Buffer(kernel.shared, float32, [1536], [], scope="shared")[threadIdx.x_2] = kernel[((((blockIdx.x*36864) + cse_var_1) + (threadIdx.x_2*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 56)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (floordiv((threadIdx.x_2 + 56), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (floordiv((threadIdx.x_2 + 112), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 168)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 168), 192)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 56), 64)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 224), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 280)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 280), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 88), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 336), 192)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 48), 64)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 392)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 392), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 8), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 448)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 448), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 504)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 504), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 40)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 560)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 560), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 616)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 616), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 40), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 672)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 672), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 728)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 728), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 152), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 784)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 784), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 840)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 840), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 24)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 896)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 896), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 952)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 952), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 184), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1008)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1008), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1064)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1064), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 104), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1120)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1120), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1176)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1176), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 8)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1232)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1232), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1288)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1288), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 136), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1344)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (threadIdx.x_2*3)) + rx.outer.outer) + 32256)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1400)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1400), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 56), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1456)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1456), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- if @tir.likely((threadIdx.x_2 < 24), dtype=bool) {
- kernel.shared_1[(threadIdx.x_2 + 1512)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1512), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 56)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- }
- for (rc.outer.inner: int32, 0, 16) {
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((rc.outer.inner*252) + floormod(threadIdx.x, 7))]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 70)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 133)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 196)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 7)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 49)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 70)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 112)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 133)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 175)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 196)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 238)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 49)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 56)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 112)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 119)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 175)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 182)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 238)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 245)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
+ conv2d_nchw_1[13] = 0f32
+ for (rc.outer.outer: int32, 0, 16) {
+ let cse_var_2: int32 = (rc.outer.outer*1568)
+ let cse_var_1: int32 = (rc.outer.outer*288)
+ {
+ attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ pad_temp.shared_1: Buffer(pad_temp.shared, float32, [2592], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((9 <= floormod(threadIdx.x_1, 81)) && (floormod(threadIdx.x_1, 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 81)*49)) + (floordiv(floormod(threadIdx.x_1, 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 31), 81)) && (floormod((threadIdx.x_1 + 31), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 112), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 31), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 62), 81)) && (floormod((threadIdx.x_1 + 62), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 224), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 62), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 12), 81)) && (floormod((threadIdx.x_1 + 12), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 336), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 12), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 43), 81)) && (floormod((threadIdx.x_1 + 43), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 448), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 43), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 74), 81)) && (floormod((threadIdx.x_1 + 74), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 560), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 74), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 24), 81)) && (floormod((threadIdx.x_1 + 24), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 672), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 24), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 55), 81)) && (floormod((threadIdx.x_1 + 55), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 784), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 55), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 5), 81)) && (floormod((threadIdx.x_1 + 5), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 896), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 5), 81), 9)*7)) + 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 <= floormod((floordiv(threadIdx.x_1, 9) + 4), 9)) && (floormod((threadIdx.x_1 + 36), 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1008), 81)*49)) + (floormod((floordiv(threadIdx.x_1, 9) + 4), 9)*7)) + 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 + 1120)] = @tir.if_then_else(((((9 <= floormod((threadIdx.x_1 + 67), 81)) && (floormod((threadIdx.x_1 + 67), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1120), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 67), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 17), 81)) && (floormod((threadIdx.x_1 + 17), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1232), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 17), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 48), 81)) && (floormod((threadIdx.x_1 + 48), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1344), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 48), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 79), 81)) && (floormod((threadIdx.x_1 + 79), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1456), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 79), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 29), 81)) && (floormod((threadIdx.x_1 + 29), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1568), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 29), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 60), 81)) && (floormod((threadIdx.x_1 + 60), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1680), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 60), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 10), 81)) && (floormod((threadIdx.x_1 + 10), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1792), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 10), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 41), 81)) && (floormod((threadIdx.x_1 + 41), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1904), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 41), 81), 9)*7)) + 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 <= floormod((floordiv(threadIdx.x_1, 9) + 8), 9)) && (floormod((threadIdx.x_1 + 72), 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2016), 81)*49)) + (floormod((floordiv(threadIdx.x_1, 9) + 8), 9)*7)) + 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 + 2128)] = @tir.if_then_else(((((9 <= floormod((threadIdx.x_1 + 22), 81)) && (floormod((threadIdx.x_1 + 22), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2128), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 22), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 53), 81)) && (floormod((threadIdx.x_1 + 53), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2240), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 53), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 3), 81)) && (floormod((threadIdx.x_1 + 3), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2352), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 3), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 34), 81)) && (floormod((threadIdx.x_1 + 34), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2464), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 34), 81), 9)*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ if @tir.likely((threadIdx.x_1 < 16), dtype=bool) {
+ pad_temp.shared_1[(threadIdx.x_1 + 2576)] = @tir.if_then_else((((threadIdx.x_1 < 7) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2576), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 65), 81), 9)*7)) + (threadIdx.x_1 + 2)) - 8)], 0f32, dtype=float32)
+ }
+ attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1: Buffer(kernel.shared, float32, [9216], [], scope="shared")[threadIdx.x_2] = kernel[(((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[((((blockIdx.x*147456) + cse_var_1) + (floordiv((threadIdx.x_2 + 112), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 224), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 336), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 448)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 448), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 560)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 560), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 672)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 672), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 784)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 784), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 896)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 896), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1008)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1008), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1120)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1120), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1232)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1232), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1344)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1344), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1456)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1456), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1568)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1568), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1680)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1680), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1792)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1792), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1904)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1904), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2016)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 32256)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2128)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2128), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2240)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2240), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2352)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2352), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2464)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2464), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2576)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2576), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2688)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2688), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2800)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2800), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2912)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2912), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3024)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3024), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3136)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3136), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3248)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3248), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3360)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3360), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3472)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3472), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3584)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3584), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3696)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3696), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3808)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3808), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3920)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3920), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4032)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 64512)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4144)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4144), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4256)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4256), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4368)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4368), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4480)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4480), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4592)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4592), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4704)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4704), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4816)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4816), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4928)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4928), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5040)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5040), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5152)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5152), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5264)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5264), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5376)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5376), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5488)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5488), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5600)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5600), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5712)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5712), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5824)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5824), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5936)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5936), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6048)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 96768)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6160)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6160), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6272)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6272), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6384)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6384), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6496)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6496), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6608)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6608), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6720)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6720), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6832)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6832), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6944)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6944), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7056)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7056), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7168)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7168), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7280)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7280), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7392)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7392), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7504)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7504), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7616)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7616), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7728)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7728), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7840)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7840), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7952)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7952), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8064)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 129024)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8176)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8176), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8288)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8288), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8400)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8400), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8512)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8512), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8624)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8624), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8736)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8736), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8848)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8848), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8960)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8960), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 9072)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 9072), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ if @tir.likely((threadIdx.x_2 < 32), dtype=bool) {
+ kernel.shared_1[(threadIdx.x_2 + 9184)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 9184), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ }
+ for (rc.outer.inner: int32, 0, 4) {
+ for (ry.outer.inner: int32, 0, 3) {
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9))]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[(((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9))]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 8)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 8)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 89)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 89)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
}
}
}
}
- for (i2.inner: int32, 0, 7) {
- compute[((((blockIdx.x*392) + (floordiv(threadIdx.x, 7)*49)) + (i2.inner*7)) + floormod(threadIdx.x, 7))] = max((conv2d_nchw_1[i2.inner] + bias[((blockIdx.x*8) + floordiv(threadIdx.x, 7))]), 0f32)
+ for (i3.inner: int32, 0, 7) {
+ compute[(((blockIdx.x*1568) + (threadIdx.x*7)) + i3.inner)] = max((conv2d_nchw_1[i3.inner] + bias[((blockIdx.x*32) + floordiv(threadIdx.x, 7))]), 0f32)
+ compute[((((blockIdx.x*1568) + (threadIdx.x*7)) + i3.inner) + 784)] = max((conv2d_nchw_1[(i3.inner + 7)] + bias[(((blockIdx.x*32) + floordiv(threadIdx.x, 7)) + 16)]), 0f32)
}
}
}
@@ -604,7 +887,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.367 ms
+ Execution time of this operator: 0.211 ms
@@ -654,34 +937,34 @@ They can be used for debugging and learning the behavior of the auto-scheduler.
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=1)
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=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=7)
+ 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_o_o_o, conv2d_nchw_ff_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_o_i, factor=2)
+ 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_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_i, conv2d_nchw_xx_i = s[conv2d_nchw].split(conv2d_nchw_xx, factor=7)
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_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=4)
- conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=16)
+ conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=8)
+ conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=4)
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=3)
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=1)
+ conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=3)
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=1)
- 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=7)
- compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=1)
+ compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=16)
+ compute_i1_o_o_o, compute_i1_o_o_i = s[compute].split(compute_i1_o_o_i, factor=2)
+ 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=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=1)
- compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=7)
+ 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)
@@ -701,12 +984,12 @@ They can be used for debugging and learning the behavior of the auto-scheduler.
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=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=56)
+ 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)
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=2)
+ 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=56)
+ 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)
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, "unroll_explicit", True)
@@ -726,213 +1009,482 @@ 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__(56) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
- float conv2d_nchw[7];
- __shared__ float pad_temp_shared[4032];
- __shared__ float kernel_shared[1536];
+ extern "C" __global__ void __launch_bounds__(112) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
+ float conv2d_nchw[14];
+ __shared__ float pad_temp_shared[2592];
+ __shared__ float kernel_shared[9216];
conv2d_nchw[0] = 0.000000e+00f;
+ conv2d_nchw[7] = 0.000000e+00f;
conv2d_nchw[1] = 0.000000e+00f;
+ conv2d_nchw[8] = 0.000000e+00f;
conv2d_nchw[2] = 0.000000e+00f;
+ conv2d_nchw[9] = 0.000000e+00f;
conv2d_nchw[3] = 0.000000e+00f;
+ conv2d_nchw[10] = 0.000000e+00f;
conv2d_nchw[4] = 0.000000e+00f;
+ conv2d_nchw[11] = 0.000000e+00f;
conv2d_nchw[5] = 0.000000e+00f;
+ conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[6] = 0.000000e+00f;
- for (int rc_outer_outer = 0; rc_outer_outer < 8; ++rc_outer_outer) {
- for (int rx_outer_outer = 0; rx_outer_outer < 3; ++rx_outer_outer) {
- __syncthreads();
- pad_temp_shared[(((int)threadIdx.x) * 2)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) - 8)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) - 8)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 112) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 112) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 113) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 224) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 224) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 225) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 336) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 336) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 337) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 448) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 448) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 449) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 560) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 560) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 561) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 672) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 672) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 673) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 784) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 784) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 785) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 896) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 896) / 63) * 49)) + (((((((int)t [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 897) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2 [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1008)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 776)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1009)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 776)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1120) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1120) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1121) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1232) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1232) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1233) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1344) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1344) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1345) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1456) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1456) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1457) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1568) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1568) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1569) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1680) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1680) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1681) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1792) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1792) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1793) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1904) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1904) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1905) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 2016)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 2017)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2128) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2128) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2129) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2240) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2240) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2241) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2352) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2352) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2353) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2464) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2464) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2465) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2576) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2576) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2577) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2688) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2688) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2689) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2800) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2800) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2801) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2912) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 2912) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2913) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 3024)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 3025)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3136) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3136) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3137) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3248) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3248) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3249) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3360) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3360) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3361) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3472) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3472) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3473) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3584) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3584) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3585) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3696) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3696) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3697) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3808) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3808) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3809) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3920) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 3920) / 63) * 49)) + (((((((int [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3921) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * [...]
- kernel_shared[((int)threadIdx.x)] = kernel[((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 56)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 56) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 112)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 112) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 168)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 168) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) / 3) + 56) & 63) * 9)) + ((((int)threadIdx.x) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 224)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 224) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 32) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 280)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 280) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 88) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 336)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 336) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) / 3) + 48) & 63) * 9)) + ((((int)threadIdx.x) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 392)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 392) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 8) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 448)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 448) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 64) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 504)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 504) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 360)];
- kernel_shared[(((int)threadIdx.x) + 560)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 560) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 176) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 616)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 616) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 40) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 672)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 672) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 288)];
- kernel_shared[(((int)threadIdx.x) + 728)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 728) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 152) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 784)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 784) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 16) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 840)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 840) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 216)];
- kernel_shared[(((int)threadIdx.x) + 896)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 896) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 128) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 952)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 952) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 184) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1008)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1008) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 144)];
- kernel_shared[(((int)threadIdx.x) + 1064)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1064) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 104) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1120)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1120) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 160) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1176)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1176) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 72)];
- kernel_shared[(((int)threadIdx.x) + 1232)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1232) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 80) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1288)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1288) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 136) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1344)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 32256)];
- kernel_shared[(((int)threadIdx.x) + 1400)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1400) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 56) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1456)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1456) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 112) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- if (((int)threadIdx.x) < 24) {
- kernel_shared[(((int)threadIdx.x) + 1512)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1512) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 504)];
- }
- __syncthreads();
- for (int rc_outer_inner = 0; rc_outer_inner < 16; ++rc_outer_inner) {
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((rc_outer_inner * 252) + (((int)threadIdx.x) % 7))] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 70)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 133)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 196)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 7)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 49)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 70)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 112)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 133)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 175)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 196)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 238)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 49)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 56)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 112)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 119)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 175)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 182)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 238)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 245)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
+ conv2d_nchw[13] = 0.000000e+00f;
+ for (int rc_outer_outer = 0; rc_outer_outer < 16; ++rc_outer_outer) {
+ __syncthreads();
+ pad_temp_shared[((int)threadIdx.x)] = (((((9 <= (((int)threadIdx.x) % 81)) && ((((int)threadIdx.x) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + ((((int)threadIdx.x) / 81) * 49)) + (((((int)threadIdx.x) % 81) / 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((9 <= ((((int)threadIdx.x) + 31) % 81)) && (((((int)threadIdx.x) + 31) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 112) / 81) * 49)) + ((((((int)threadIdx.x) + 31) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((9 <= ((((int)threadIdx.x) + 62) % 81)) && (((((int)threadIdx.x) + 62) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 224) / 81) * 49)) + ((((((int)threadIdx.x) + 62) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((9 <= ((((int)threadIdx.x) + 12) % 81)) && (((((int)threadIdx.x) + 12) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 336) / 81) * 49)) + ((((((int)threadIdx.x) + 12) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((9 <= ((((int)threadIdx.x) + 43) % 81)) && (((((int)threadIdx.x) + 43) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 448) / 81) * 49)) + ((((((int)threadIdx.x) + 43) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 560)] = (((((9 <= ((((int)threadIdx.x) + 74) % 81)) && (((((int)threadIdx.x) + 74) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 560) / 81) * 49)) + ((((((int)threadIdx.x) + 74) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 672)] = (((((9 <= ((((int)threadIdx.x) + 24) % 81)) && (((((int)threadIdx.x) + 24) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 672) / 81) * 49)) + ((((((int)threadIdx.x) + 24) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 784)] = (((((9 <= ((((int)threadIdx.x) + 55) % 81)) && (((((int)threadIdx.x) + 55) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 784) / 81) * 49)) + ((((((int)threadIdx.x) + 55) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 896)] = (((((9 <= ((((int)threadIdx.x) + 5) % 81)) && (((((int)threadIdx.x) + 5) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 896) / 81) * 49)) + ((((((int)threadIdx.x) + 5) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1008)] = (((((1 <= (((((int)threadIdx.x) / 9) + 4) % 9)) && (((((int)threadIdx.x) + 36) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1008) / 81) * 49)) + ((((((int)threadIdx.x) / 9) + 4) % 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1120)] = (((((9 <= ((((int)threadIdx.x) + 67) % 81)) && (((((int)threadIdx.x) + 67) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1120) / 81) * 49)) + ((((((int)threadIdx.x) + 67) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1232)] = (((((9 <= ((((int)threadIdx.x) + 17) % 81)) && (((((int)threadIdx.x) + 17) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1232) / 81) * 49)) + ((((((int)threadIdx.x) + 17) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1344)] = (((((9 <= ((((int)threadIdx.x) + 48) % 81)) && (((((int)threadIdx.x) + 48) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1344) / 81) * 49)) + ((((((int)threadIdx.x) + 48) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1456)] = (((((9 <= ((((int)threadIdx.x) + 79) % 81)) && (((((int)threadIdx.x) + 79) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1456) / 81) * 49)) + ((((((int)threadIdx.x) + 79) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1568)] = (((((9 <= ((((int)threadIdx.x) + 29) % 81)) && (((((int)threadIdx.x) + 29) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1568) / 81) * 49)) + ((((((int)threadIdx.x) + 29) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1680)] = (((((9 <= ((((int)threadIdx.x) + 60) % 81)) && (((((int)threadIdx.x) + 60) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1680) / 81) * 49)) + ((((((int)threadIdx.x) + 60) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1792)] = (((((9 <= ((((int)threadIdx.x) + 10) % 81)) && (((((int)threadIdx.x) + 10) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1792) / 81) * 49)) + ((((((int)threadIdx.x) + 10) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1904)] = (((((9 <= ((((int)threadIdx.x) + 41) % 81)) && (((((int)threadIdx.x) + 41) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1904) / 81) * 49)) + ((((((int)threadIdx.x) + 41) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2016)] = (((((1 <= (((((int)threadIdx.x) / 9) + 8) % 9)) && (((((int)threadIdx.x) + 72) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2016) / 81) * 49)) + ((((((int)threadIdx.x) / 9) + 8) % 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2128)] = (((((9 <= ((((int)threadIdx.x) + 22) % 81)) && (((((int)threadIdx.x) + 22) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2128) / 81) * 49)) + ((((((int)threadIdx.x) + 22) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2240)] = (((((9 <= ((((int)threadIdx.x) + 53) % 81)) && (((((int)threadIdx.x) + 53) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2240) / 81) * 49)) + ((((((int)threadIdx.x) + 53) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2352)] = (((((9 <= ((((int)threadIdx.x) + 3) % 81)) && (((((int)threadIdx.x) + 3) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2352) / 81) * 49)) + ((((((int)threadIdx.x) + 3) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2464)] = (((((9 <= ((((int)threadIdx.x) + 34) % 81)) && (((((int)threadIdx.x) + 34) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2464) / 81) * 49)) + ((((((int)threadIdx.x) + 34) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ if (((int)threadIdx.x) < 16) {
+ pad_temp_shared[(((int)threadIdx.x) + 2576)] = ((((((int)threadIdx.x) < 7) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2576) / 81) * 49)) + (((((int)threadIdx.x) + 65) / 9) * 7)) + ((int)threadIdx.x)) - 6)] : 0.000000e+00f);
+ }
+ kernel_shared[((int)threadIdx.x)] = kernel[(((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x))];
+ kernel_shared[(((int)threadIdx.x) + 112)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 224)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 224) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 336)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 336) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 448)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 448) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 560)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 560) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 672)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 672) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 784)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 784) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 896)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 896) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1008)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1008) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 1120)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1120) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1232)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1232) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1344)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1344) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1456)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1456) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1568)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1568) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1680)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1680) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1792)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1792) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1904)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1904) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2016)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 32256)];
+ kernel_shared[(((int)threadIdx.x) + 2128)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2128) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2240)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2240) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2352)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2352) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 2464)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2464) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2576)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2576) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2688)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2688) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 2800)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2800) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2912)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2912) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3024)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3024) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 3136)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3136) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3248)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3248) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3360)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3360) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3472)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3472) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3584)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3584) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3696)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3696) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3808)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3808) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3920)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3920) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4032)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 64512)];
+ kernel_shared[(((int)threadIdx.x) + 4144)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4144) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4256)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4256) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4368)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4368) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 4480)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4480) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4592)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4592) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4704)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4704) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 4816)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4816) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4928)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4928) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5040)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5040) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 5152)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5152) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5264)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5264) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5376)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5376) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5488)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5488) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5600)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5600) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5712)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5712) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5824)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5824) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5936)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5936) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6048)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96768)];
+ kernel_shared[(((int)threadIdx.x) + 6160)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6160) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6272)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6272) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6384)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6384) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 6496)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6496) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6608)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6608) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6720)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6720) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 6832)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6832) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6944)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6944) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7056)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7056) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 7168)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7168) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7280)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7280) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7392)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7392) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7504)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7504) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7616)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7616) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7728)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7728) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7840)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7840) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7952)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7952) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8064)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 129024)];
+ kernel_shared[(((int)threadIdx.x) + 8176)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8176) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8288)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8288) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8400)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8400) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 8512)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8512) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8624)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8624) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8736)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8736) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 8848)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8848) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8960)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8960) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 9072)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 9072) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ if (((int)threadIdx.x) < 32) {
+ kernel_shared[(((int)threadIdx.x) + 9184)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 9184) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 256) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ }
+ __syncthreads();
+ for (int rc_outer_inner = 0; rc_outer_inner < 4; ++rc_outer_inner) {
+ for (int ry_outer_inner = 0; ry_outer_inner < 3; ++ry_outer_inner) {
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9))] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9))] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 8)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 8)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 89)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 89)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
}
}
}
- for (int i2_inner = 0; i2_inner < 7; ++i2_inner) {
- compute[((((((int)blockIdx.x) * 392) + ((((int)threadIdx.x) / 7) * 49)) + (i2_inner * 7)) + (((int)threadIdx.x) % 7))] = max((conv2d_nchw[i2_inner] + bias[((((int)blockIdx.x) * 8) + (((int)threadIdx.x) / 7))]), 0.000000e+00f);
+ for (int i3_inner = 0; i3_inner < 7; ++i3_inner) {
+ compute[(((((int)blockIdx.x) * 1568) + (((int)threadIdx.x) * 7)) + i3_inner)] = max((conv2d_nchw[i3_inner] + bias[((((int)blockIdx.x) * 32) + (((int)threadIdx.x) / 7))]), 0.000000e+00f);
+ compute[((((((int)blockIdx.x) * 1568) + (((int)threadIdx.x) * 7)) + i3_inner) + 784)] = max((conv2d_nchw[(i3_inner + 7)] + bias[(((((int)blockIdx.x) * 32) + (((int)threadIdx.x) / 7)) + 16)]), 0.000000e+00f);
}
}
@@ -994,7 +1546,7 @@ In the example below we resume the status and do more 5 trials.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 21.096 seconds)
+ **Total running time of the script:** ( 3 minutes 39.142 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 b5db98acf5..c0fd73ed64 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
@@ -643,7 +643,7 @@ 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)
- 8.1540 8.1555 8.1560 8.1506 0.0024
+ 8.2080 8.2087 8.2140 8.2013 0.0052
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 e5ee88c0c1..c6ff7182c2 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
@@ -662,7 +662,7 @@ 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)
- 755.7181 756.6768 756.7382 753.7392 1.3995
+ 755.3870 755.7548 755.7872 754.6190 0.5432
@@ -690,7 +690,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 22.136 seconds)
+ **Total running time of the script:** ( 1 minutes 23.975 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 2b57bc781d..ca5b1d773e 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
@@ -397,15 +397,15 @@ 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_6: placeholder_15: Buffer(placeholder_11, float32, [4916, 16, 1], []), placeholder_7: placeholder_16: Buffer(placeholder_12, int32, [4916], []), placeholder_8: placeholder_17: Buffer(placeholder_13, int32, [33], []), placeholder_5: placeholder_18: Buffer(placeholder_10, float32, [128, 256], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_9: placeholder_19: Buffer(placeholder_14, float32, [128, 512], [])} {
- for (i0.outer.i1.outer.fused: int32, 0, 16) "parallel" {
- allocate(compute_4: Pointer(global float32), float32, [4096]), storage_scope = global {
- for (i.outer.inner: int32, 0, 8) {
+ preflattened_buffer_map = {placeholder_5: placeholder_15: Buffer(placeholder_10, float32, [128, 256], []), placeholder_6: placeholder_16: Buffer(placeholder_11, float32, [4916, 16, 1], []), placeholder_8: placeholder_17: Buffer(placeholder_13, int32, [33], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_9: placeholder_18: Buffer(placeholder_14, float32, [128, 512], []), placeholder_7: placeholder_19: Buffer(placeholder_12, int32, [4916], [])} {
+ 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, 2) {
for (nb_j.inner: int32, 0, 2) {
for (i.inner.init: int32, 0, 16) {
let cse_var_1: int32 = (((i.outer.inner*512) + (i.inner.init*32)) + (nb_j.inner*16))
{
- compute_5: Buffer(compute_4, float32, [4096], [])[cse_var_1] = 0f32
+ compute_5: Buffer(compute_4, float32, [1024], [])[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
@@ -423,51 +423,51 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
compute_5[(cse_var_1 + 15)] = 0f32
}
}
- for (elem_idx: int32, 0, let cse_var_2: int32 = ((i0.outer.i1.outer.fused*2) + nb_j.inner) in (placeholder_3[(cse_var_2 + 1)] - placeholder_3[cse_var_2])) {
+ for (elem_idx: int32, 0, let cse_var_2: int32 = ((floormod(i0.outer.i1.outer.fused, 16)*2) + nb_j.inner) in (placeholder_3[(cse_var_2 + 1)] - placeholder_3[cse_var_2])) {
for (i.inner: int32, 0, 16) {
let cse_var_21: int32 = (elem_idx*16)
- let cse_var_20: int32 = ((i0.outer.i1.outer.fused*2) + nb_j.inner)
- let cse_var_19: int32 = ((i.outer.inner*4096) + (i.inner*256))
- let cse_var_18: int32 = (((i.outer.inner*512) + (i.inner*32)) + (nb_j.inner*16))
- let cse_var_17: int32 = (cse_var_18 + 9)
- let cse_var_16: int32 = (cse_var_18 + 8)
- let cse_var_15: int32 = (cse_var_18 + 7)
- let cse_var_14: int32 = (cse_var_18 + 6)
- let cse_var_13: int32 = (cse_var_18 + 5)
- let cse_var_12: int32 = (cse_var_18 + 4)
- let cse_var_11: int32 = (cse_var_18 + 3)
- let cse_var_10: int32 = (cse_var_18 + 2)
- let cse_var_9: int32 = (cse_var_18 + 15)
- let cse_var_8: int32 = (cse_var_18 + 14)
- let cse_var_7: int32 = (cse_var_18 + 13)
- let cse_var_6: int32 = (cse_var_18 + 12)
- let cse_var_5: int32 = (cse_var_18 + 11)
- let cse_var_4: int32 = (cse_var_18 + 10)
- let cse_var_3: int32 = (cse_var_18 + 1)
+ let cse_var_20: int32 = ((floormod(i0.outer.i1.outer.fused, 16)*2) + nb_j.inner)
+ let cse_var_19: int32 = (((i.outer.inner*512) + (i.inner*32)) + (nb_j.inner*16))
+ let cse_var_18: int32 = (((floordiv(i0.outer.i1.outer.fused, 16)*8192) + (i.outer.inner*4096)) + (i.inner*256))
+ let cse_var_17: int32 = (cse_var_19 + 9)
+ let cse_var_16: int32 = (cse_var_19 + 8)
+ let cse_var_15: int32 = (cse_var_19 + 7)
+ let cse_var_14: int32 = (cse_var_19 + 6)
+ let cse_var_13: int32 = (cse_var_19 + 5)
+ let cse_var_12: int32 = (cse_var_19 + 4)
+ let cse_var_11: int32 = (cse_var_19 + 3)
+ let cse_var_10: int32 = (cse_var_19 + 2)
+ let cse_var_9: int32 = (cse_var_19 + 15)
+ let cse_var_8: int32 = (cse_var_19 + 14)
+ let cse_var_7: int32 = (cse_var_19 + 13)
+ let cse_var_6: int32 = (cse_var_19 + 12)
+ let cse_var_5: int32 = (cse_var_19 + 11)
+ let cse_var_4: int32 = (cse_var_19 + 10)
+ let cse_var_3: int32 = (cse_var_19 + 1)
{
- compute_5[cse_var_18] = (compute_5[cse_var_18] + (placeholder_1[((placeholder_3[cse_var_20]*16) + cse_var_21)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 1)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 2)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 3)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 4)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 5)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 6)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 7)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 8)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_17] = (compute_5[cse_var_17] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 9)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 10)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 11)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 12)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 13)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 14)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 15)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_19] = (compute_5[cse_var_19] + (placeholder_1[((placeholder_3[cse_var_20]*16) + cse_var_21)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 1)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 2)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 3)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 4)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 5)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 6)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 7)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 8)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_17] = (compute_5[cse_var_17] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 9)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 10)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 11)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 12)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 13)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 14)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 15)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
}
}
}
}
}
- for (i0.inner: int32, 0, 128) {
- let cse_var_22: int32 = ((i0.inner*512) + (i0.outer.i1.outer.fused*32))
+ for (i0.inner: int32, 0, 32) {
+ let cse_var_22: int32 = (((floordiv(i0.outer.i1.outer.fused, 16)*16384) + (i0.inner*512)) + (floormod(i0.outer.i1.outer.fused, 16)*32))
compute[ramp(cse_var_22, 1, 32)] = max((compute_5[ramp((i0.inner*32), 1, 32)] + placeholder_4[ramp(cse_var_22, 1, 32)]), broadcast(0f32, 32))
}
}
@@ -524,7 +524,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 1.722 ms
+ Execution time of this operator: 1.723 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 d222112b4f..a334a578c3 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
@@ -5,16 +5,16 @@
Computation times
=================
-**00:29.562** total execution time for **how_to_tune_with_autotvm** files:
+**00:44.439** total execution time for **how_to_tune_with_autotvm** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:29.526 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:44.407 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.020 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.017 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``) | 00:00.005 | 0.0 MB |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``) | 00:00.005 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
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 6bdbabbb43..f9f1cf29ff 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
@@ -277,9 +277,7 @@ for this template
waiting for device...
device available
Get devices for measurement successfully!
- No: 1 GFLOPS: 24.13/24.13 result: MeasureResult(costs=(0.009593230454545455,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.932642698287964, timestamp=1663882327.1766) [('tile_f', [-1, 4, 4, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8593881
- No: 2 GFLOPS: 83.93/83.93 result: MeasureResult(costs=(0.0027582268448275863,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.507809638977051, timestamp=1663882328.0813944) [('tile_f', [-1, 16, 16, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,8717369
- No: 3 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+ No: 1 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -401,8 +399,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 256, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10132656
- No: 4 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 32]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 64, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2605219
+ No: 2 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -524,8 +522,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 128, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6414062
- No: 5 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2579300
+ No: 3 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -647,8 +645,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 2, 64]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10384866
- No: 6 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 64, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,253407
+ No: 4 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -770,9 +768,12 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 8, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 32]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8280956
- No: 7 GFLOPS: 91.25/91.25 result: MeasureResult(costs=(0.002536887925,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1385846138000488, timestamp=1663882331.5116751) [('tile_f', [-1, 2, 64, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6074686
- No: 8 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 2, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1954905
+ No: 5 GFLOPS: 38.65/38.65 result: MeasureResult(costs=(0.005988956176470587,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9622642993927002, timestamp=1663881850.7868724) [('tile_f', [-1, 2, 4, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4656373
+ No: 6 GFLOPS: 292.30/292.30 result: MeasureResult(costs=(0.0007919921089108911,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.625307321548462, timestamp=1663881852.4046834) [('tile_f', [-1, 1, 32, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9105230
+ No: 7 GFLOPS: 7.32/292.30 result: MeasureResult(costs=(0.03163999175,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.1665596961975098, timestamp=1663881853.162902) [('tile_f', [-1, 8, 1, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3773579
+ No: 8 GFLOPS: 7.43/292.30 result: MeasureResult(costs=(0.03114179975,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.846660375595093, timestamp=1663881853.886637) [('tile_f', [-1, 4, 1, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 32]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10014677
+ No: 9 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -894,8 +895,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8309381
- No: 9 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 4, 128]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9044635
+ No: 10 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1017,8 +1018,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 64, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1185556
- No: 10 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 16, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9421903
+ No: 11 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1140,8 +1141,11 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 8, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4361239
- No: 11 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 4, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9126997
+ No: 12 GFLOPS: 36.14/292.30 result: MeasureResult(costs=(0.0064053940625,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.447760105133057, timestamp=1663881858.5453136) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7132859
+ No: 13 GFLOPS: 2.32/292.30 result: MeasureResult(costs=(0.09999968699999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.6343746185302734, timestamp=1663881862.877983) [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,3338026
+ No: 14 GFLOPS: 3.56/292.30 result: MeasureResult(costs=(0.0650461195,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.57374906539917, timestamp=1663881864.0567393) [('tile_f', [-1, 8, 1, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 32, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7247738
+ No: 15 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1263,8 +1267,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 2, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9862111
- No: 12 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 8, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4251241
+ No: 16 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1386,10 +1390,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 16, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,875069
- No: 13 GFLOPS: 34.82/91.25 result: MeasureResult(costs=(0.00664771,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.352648973464966, timestamp=1663882335.246479) [('tile_f', [-1, 1, 8, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1862937
- No: 14 GFLOPS: 0.98/91.25 result: MeasureResult(costs=(0.23562669349999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.185566663742065, timestamp=1663882338.6236575) [('tile_f', [-1, 256, 2, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,260498
- No: 15 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 64, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1065335
+ No: 17 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1511,8 +1513,8 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5792986
- No: 16 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9976982
+ No: 18 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1634,8 +1636,9 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 32, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 32, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,474802
- No: 17 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 2, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9886974
+ No: 19 GFLOPS: 7.11/292.30 result: MeasureResult(costs=(0.03257743825,), error_no=MeasureErrorNo.NO_ERROR, all_cost=6.399919748306274, timestamp=1663881870.6917906) [('tile_f', [-1, 1, 1, 128]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9294990
+ No: 20 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1757,254 +1760,7 @@ for this template
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 32, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7673692
- No: 18 GFLOPS: 1204.15/1204.15 result: MeasureResult(costs=(0.0001922534928741093,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.188037395477295, timestamp=1663882340.0105078) [('tile_f', [-1, 1, 8, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1947959
- No: 19 GFLOPS: 0.00/1204.15 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
- func = build(s, args, target_host=task.target_host, runtime=runtime)
- File "/workspace/python/tvm/driver/build_module.py", line 227, in build
- input_mod = lower(inputs, args, name=name, binds=binds)
- File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
- return ffi.lower_schedule(inp, args, name, binds, simple_mode)
- File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
- File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
- File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
- tvm._ffi.base.TVMError: Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
-
- Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,130215
- No: 20 GFLOPS: 0.00/1204.15 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
- func = build(s, args, target_host=task.target_host, runtime=runtime)
- File "/workspace/python/tvm/driver/build_module.py", line 227, in build
- input_mod = lower(inputs, args, name=name, binds=binds)
- File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
- return ffi.lower_schedule(inp, args, name, binds, simple_mode)
- File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
- File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
- File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
- tvm._ffi.base.TVMError: Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
-
- Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5929408
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 64, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8608724
@@ -2059,9 +1815,9 @@ and measure running time.
Finish loading 20 records
Best config:
- [('tile_f', [-1, 1, 8, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1947959
+ [('tile_f', [-1, 1, 32, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9105230
Finish loading 20 records
- Time cost of this operator: 0.000484
+ Time cost of this operator: 0.001175
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 db1a9c7fbf..ad337494e0 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
@@ -327,10 +327,10 @@ Timing the untuned program
########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 310.4 98.714 (1, 2, 10, 10, 3) 2 1 [310.4]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.086 0.981 (1, 6, 10, 10) 1 1 [3.086]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.958 0.305 (1, 1, 10, 10, 3) 1 1 [0.958]
- Total_time - 314.444 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 314.1 98.751 (1, 2, 10, 10, 3) 2 1 [314.1]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.015 0.948 (1, 6, 10, 10) 1 1 [3.015]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.957 0.301 (1, 1, 10, 10, 3) 1 1 [0.957]
+ Total_time - 318.072 - - - - -
@@ -394,10 +394,10 @@ Timing the tuned program
########## Build with Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 181.3 98.431 (1, 1, 10, 10, 6) 2 1 [181.3]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.93 1.048 (1, 6, 10, 10) 1 1 [1.93]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.96 0.521 (1, 1, 10, 10, 3) 1 1 [0.96]
- Total_time - 184.189 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 103.6 97.532 (1, 6, 10, 10, 1) 2 1 [103.6]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.775 1.671 (1, 6, 10, 10) 1 1 [1.775]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.847 0.797 (1, 3, 10, 10, 1) 1 1 [0.847]
+ Total_time - 106.222 - - - - -
diff --git a/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt b/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt
index e4d9ed3c38..b3edc9490e 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt
@@ -225,7 +225,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
.. code-block:: none
- '/tmp/tmp64nz5xxv/images/random'
+ '/tmp/tmps3pw2o_6/images/random'
@@ -316,7 +316,7 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. image-sg:: /how_to/work_with_microtvm/images/sphx_glr_micro_train_001.png
- :alt: [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0]
+ :alt: [1.0, 0.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0]
:srcset: /how_to/work_with_microtvm/images/sphx_glr_micro_train_001.png
:class: sphx-glr-single-img
@@ -325,8 +325,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmp64nz5xxv/images/target contains 8144 images
- /tmp/tmp64nz5xxv/images/random contains 5000 images
+ /tmp/tmps3pw2o_6/images/target contains 8144 images
+ /tmp/tmps3pw2o_6/images/random contains 5000 images
@@ -501,13 +501,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 47s - loss: 0.2080 - accuracy: 0.9267 - val_loss: 0.1079 - val_accuracy: 0.9619 - 47s/epoch - 142ms/step
+ 328/328 - 47s - loss: 0.2200 - accuracy: 0.9247 - val_loss: 0.1153 - val_accuracy: 0.9577 - 47s/epoch - 145ms/step
Epoch 2/3
- 328/328 - 43s - loss: 0.0903 - accuracy: 0.9685 - val_loss: 0.0994 - val_accuracy: 0.9687 - 43s/epoch - 132ms/step
+ 328/328 - 44s - loss: 0.0974 - accuracy: 0.9624 - val_loss: 0.0948 - val_accuracy: 0.9690 - 44s/epoch - 133ms/step
Epoch 3/3
- 328/328 - 43s - loss: 0.0624 - accuracy: 0.9774 - val_loss: 0.0998 - val_accuracy: 0.9619 - 43s/epoch - 131ms/step
+ 328/328 - 43s - loss: 0.0737 - accuracy: 0.9708 - val_loss: 0.1141 - val_accuracy: 0.9581 - 43s/epoch - 132ms/step
- <keras.callbacks.History object at 0x7f340b3e67d0>
+ <keras.callbacks.History object at 0x7fa3a2bcfb10>
@@ -864,7 +864,7 @@ Arduino tutorial for how to do that `on GitHub <https://github.com/guberti/tvm-a
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 4 minutes 28.626 seconds)
+ **Total running time of the script:** ( 4 minutes 35.835 seconds)
.. _sphx_glr_download_how_to_work_with_microtvm_micro_train.py:
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 4762351eb8..5f5e60debe 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
@@ -5,16 +5,16 @@
Computation times
=================
-**05:20.845** total execution time for **how_to_work_with_microtvm** files:
+**05:31.078** total execution time for **how_to_work_with_microtvm** files:
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:28.626 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:35.835 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 00:41.541 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 00:43.244 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:07.415 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:08.490 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:03.261 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:03.507 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``) | 00:00.001 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
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 8365a1e2b7..8ac1e8e306 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
@@ -5,14 +5,14 @@
Computation times
=================
-**00:42.533** total execution time for **how_to_work_with_relay** files:
+**00:44.111** total execution time for **how_to_work_with_relay** files:
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:31.214 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.236 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:09.844 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:10.117 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.469 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.751 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``) | 00:00.007 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 0402d76924..33c006b6ff 100644
--- a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
@@ -261,7 +261,7 @@ The following example customizes CUDA lowering rule for :code:`exp`.
.. code-block:: none
- <function my_cuda_math_rule at 0x7f33abc0d950>
+ <function my_cuda_math_rule at 0x7fa33e0a5e60>
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 6922a7cfc1..b8dd9f9e34 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
@@ -5,16 +5,16 @@
Computation times
=================
-**00:07.564** total execution time for **how_to_work_with_schedules** files:
+**00:07.831** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:05.338 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:05.523 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:00.990 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.041 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.539 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.554 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.518 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.534 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.098 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
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 a55946062d..ed7a654d08 100644
--- a/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
@@ -347,7 +347,7 @@ 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/tmpnpp5qs6m/input0.cc'\nsource_filename = \"/tmp/tmpnpp5qs6m/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/tmpv0nyr_rg/input0.cc'\nsource_filename = \"/tmp/tmpv0nyr_rg/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 b3de2275de..42a0a3c091 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
@@ -5,10 +5,10 @@
Computation times
=================
-**00:21.165** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:21.418** total execution time for **topic_vta_tutorials_autotvm** files:
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:21.159 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:21.411 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.006 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
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 7aba74dda8..42e929117d 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -289,7 +289,7 @@ 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 22.56s!
+ resnet18_v1 inference graph built in 23.74s!
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 c4247a6f41..5db7857bf7 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -333,7 +333,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:348: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
DeprecationWarning,
- yolov3-tiny inference graph built in 16.16s!
+ yolov3-tiny inference graph built in 16.40s!
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 9e10a88aba..ecb16295fa 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
@@ -5,10 +5,10 @@
Computation times
=================
-**01:31.415** total execution time for **topic_vta_tutorials_frontend** files:
+**01:33.044** total execution time for **topic_vta_tutorials_frontend** files:
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:48.656 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:49.045 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:42.759 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:43.999 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
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 a298ce9c9b..b4528f7b89 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
@@ -5,10 +5,10 @@
Computation times
=================
-**00:03.047** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.029** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.652 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.614 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.395 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.415 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
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 960fcd4ba6..0a5d35910d 100644
--- a/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:00.742** total execution time for **topic_vta_tutorials** files:
+**00:00.770** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.401 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.415 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.341 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.355 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
index ef7755cbbf..eb9d81622c 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -326,7 +326,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 93.349 ms
+ Execution time of this operator: 94.547 ms
diff --git a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
index 8971d37df1..c8cef6984f 100644
--- a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
@@ -462,16 +462,16 @@ reduce variance, we take 5 measurements and average them.
waiting for device...
device available
Get devices for measurement successfully!
- No: 1 GFLOPS: 1.84/1.84 result: MeasureResult(costs=(0.14583982,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4632906913757324, timestamp=1663881151.2192934) [('tile_y', [-1, 1]), ('tile_x', [-1, 4])],None,20
- No: 2 GFLOPS: 9.78/9.78 result: MeasureResult(costs=(0.027460926999999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6101272106170654, timestamp=1663881151.8633597) [('tile_y', [-1, 2]), ('tile_x', [-1, 32])],None,51
- No: 3 GFLOPS: 13.69/13.69 result: MeasureResult(costs=(0.0196095172,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.4507744312286377, timestamp=1663881152.8681498) [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
- No: 4 GFLOPS: 2.28/13.69 result: MeasureResult(costs=(0.1179887436,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.0154857635498047, timestamp=1663881155.4523356) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
- No: 5 GFLOPS: 0.90/13.69 result: MeasureResult(costs=(0.2992063222,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.922318696975708, timestamp=1663881160.54972) [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
- No: 6 GFLOPS: 9.13/13.69 result: MeasureResult(costs=(0.029390212200000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6517925262451172, timestamp=1663881161.1827745) [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
- No: 7 GFLOPS: 1.66/13.69 result: MeasureResult(costs=(0.161289652,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.7063543796539307, timestamp=1663881164.4588513) [('tile_y', [-1, 512]), ('tile_x', [-1, 4])],None,29
- No: 8 GFLOPS: 3.70/13.69 result: MeasureResult(costs=(0.0725344232,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3382151126861572, timestamp=1663881165.8220372) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
- No: 9 GFLOPS: 13.02/13.69 result: MeasureResult(costs=(0.0206113372,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.4957246780395508, timestamp=1663881166.43362) [('tile_y', [-1, 128]), ('tile_x', [-1, 128])],None,77
- No: 10 GFLOPS: 9.99/13.69 result: MeasureResult(costs=(0.0268662134,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5497944355010986, timestamp=1663881167.0240293) [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
+ No: 1 GFLOPS: 10.66/10.66 result: MeasureResult(costs=(0.0251775448,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5350728034973145, timestamp=1663880611.6810002) [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
+ No: 2 GFLOPS: 12.23/12.23 result: MeasureResult(costs=(0.021940542400000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5601513385772705, timestamp=1663880612.2048342) [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+ No: 3 GFLOPS: 14.23/14.23 result: MeasureResult(costs=(0.0188635142,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5172243118286133, timestamp=1663880613.2181766) [('tile_y', [-1, 32]), ('tile_x', [-1, 64])],None,65
+ No: 4 GFLOPS: 2.90/14.23 result: MeasureResult(costs=(0.0925597256,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.6396641731262207, timestamp=1663880615.4239507) [('tile_y', [-1, 4]), ('tile_x', [-1, 8])],None,32
+ No: 5 GFLOPS: 1.74/14.23 result: MeasureResult(costs=(0.1542931438,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5904853343963623, timestamp=1663880618.1552823) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+ No: 6 GFLOPS: 0.51/14.23 result: MeasureResult(costs=(0.5302811986,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.64150094985962, timestamp=1663880626.8331323) [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
+ No: 7 GFLOPS: 2.78/14.23 result: MeasureResult(costs=(0.0965420618,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.688373327255249, timestamp=1663880629.0789444) [('tile_y', [-1, 2]), ('tile_x', [-1, 16])],None,41
+ No: 8 GFLOPS: 1.55/14.23 result: MeasureResult(costs=(0.1736759758,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.907644033432007, timestamp=1663880632.03454) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
+ No: 9 GFLOPS: 11.71/14.23 result: MeasureResult(costs=(0.0229309424,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.49335241317749023, timestamp=1663880632.6437156) [('tile_y', [-1, 32]), ('tile_x', [-1, 256])],None,85
+ No: 10 GFLOPS: 3.67/14.23 result: MeasureResult(costs=(0.07315204880000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.2862372398376465, timestamp=1663880633.9789646) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 791f98ce13..352c4dd499 100644
--- a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
@@ -320,7 +320,7 @@ standard deviation.
.. code-block:: none
- {'mean': 510.5090909899979, 'median': 510.57848135000654, 'std': 1.257277929183221}
+ {'mean': 515.1432214500073, 'median': 515.8314052499918, 'std': 2.114749507840176}
@@ -554,31 +554,31 @@ 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: 13.11/ 17.63 GFLOPS | Progress: (4/20) | 6.23 s
[Task 1/25] Current/Best: 12.57/ 17.63 GFLOPS | Progress: (8/20) | 9.13 s
[Task 1/25] Current/Best: 12.85/ 17.63 GFLOPS | Progress: (12/20) | 12.68 s
[Task 1/25] Current/Best: 22.20/ 23.74 GFLOPS | Progress: (16/20) | 14.18 s
[Task 1/25] Current/Best: 15.64/ 23.74 GFLOPS | Progress: (20/20) | 16.39 s Done.
-
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 5.24/ 17.12 GFLOPS | Progress: (4/20) | 2.65 s
[Task 2/25] Current/Best: 6.69/ 17.12 GFLOPS | Progress: (8/20) | 4.16 s
[Task 2/25] Current/Best: 12.39/ 22.34 GFLOPS | Progress: (12/20) | 5.34 s
[Task 2/25] Current/Best: 11.77/ 22.34 GFLOPS | Progress: (16/20) | 6.48 s
[Task 2/25] Current/Best: 11.94/ 22.34 GFLOPS | Progress: (20/20) | 7.81 s Done.
-
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 22.67/ 22.67 GFLOPS | Progress: (4/20) | 3.05 s
[Task 3/25] Current/Best: 9.93/ 22.67 GFLOPS | Progress: (8/20) | 5.15 s
[Task 3/25] Current/Best: 7.56/ 24.14 GFLOPS | Progress: (12/20) | 6.98 s
[Task 3/25] Current/Best: 13.81/ 24.14 GFLOPS | Progress: (16/20) | 9.56 s
[Task 3/25] Current/Best: 10.17/ 24.14 GFLOPS | Progress: (20/20) | 12.84 s Done.
-
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 9.82/ 12.04 GFLOPS | Progress: (4/20) | 3.74 s
[Task 4/25] Current/Best: 10.00/ 12.04 GFLOPS | Progress: (8/20) | 7.04 s
[Task 4/25] Current/Best: 10.67/ 14.85 GFLOPS | Progress: (12/20) | 12.10 s
[Task 4/25] Current/Best: 19.67/ 19.67 GFLOPS | Progress: (16/20) | 13.74 s
[Task 4/25] Current/Best: 4.70/ 19.67 GFLOPS | Progress: (20/20) | 20.09 s Done.
-
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 17.82/ 17.82 GFLOPS | Progress: (4/20) | 2.81 s
[Task 5/25] Current/Best: 13.67/ 17.82 GFLOPS | Progress: (8/20) | 4.48 s
[Task 5/25] Current/Best: 22.60/ 22.60 GFLOPS | Progress: (12/20) | 6.10 s
[Task 5/25] Current/Best: 7.53/ 22.60 GFLOPS | Progress: (16/20) | 9.01 s
[Task 5/25] Current/Best: 16.10/ 22.60 GFLOPS | Progress: (20/20) | 10.84 s Done.
-
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 4.72/ 13.07 GFLOPS | Progress: (4/20) | 3.95 s
[Task 6/25] Current/Best: 5.37/ 16.15 GFLOPS | Progress: (8/20) | 6.29 s
[Task 6/25] Current/Best: 10.04/ 16.15 GFLOPS | Progress: (12/20) | 9.50 s
[Task 6/25] Current/Best: 13.25/ 16.64 GFLOPS | Progress: (16/20) | 11.90 s
[Task 6/25] Current/Best: 11.18/ 16.64 GFLOPS | Progress: (20/20) | 14.74 s Done.
-
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 8.46/ 12.73 GFLOPS | Progress: (4/20) | 3.83 s
[Task 7/25] Current/Best: 3.09/ 12.73 GFLOPS | Progress: (8/20) | 6.93 s
[Task 7/25] Current/Best: 12.53/ 14.14 GFLOPS | Progress: (12/20) | 8.99 s
[Task 7/25] Current/Best: 12.34/ 21.96 GFLOPS | Progress: (16/20) | 11.14 s
[Task 7/25] Current/Best: 8.69/ 21.96 GFLOPS | Progress: (20/20) | 13.07 s Done.
-
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 12.15/ 14.25 GFLOPS | Progress: (4/20) | 4.04 s
[Task 8/25] Current/Best: 7.75/ 14.25 GFLOPS | Progress: (8/20) | 15.29 s
[Task 8/25] Current/Best: 5.52/ 14.25 GFLOPS | Progress: (12/20) | 17.78 s
[Task 8/25] Current/Best: 8.44/ 14.25 GFLOPS | Progress: (16/20) | 28.66 s
[Task 8/25] Current/Best: 3.47/ 14.25 GFLOPS | Progress: (20/20) | 40.33 s
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 12.55/ 18.97 GFLOPS | Progress: (4/20) | 3.22 s
[Task 9/25] Current/Best: 4.89/ 18.97 GFLOPS | Progress: (8/20) | 4.95 s
[Task 9/25] Current/Best: 14.74/ 18.97 GFLOPS | Progress: (12/20) | 9.14 s
[Task 9/25] Current/Best: 13.05/ 18.97 GFLOPS | Progress: (16/20) | 12.64 s
[Task 9/25] Current/Best: 13.46/ 18.97 GFLOPS | Progress: (20/20
) | 23.15 s Done.
-
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 5.69/ 19.06 GFLOPS | Progress: (4/20) | 2.60 s
[Task 10/25] Current/Best: 6.51/ 19.06 GFLOPS | Progress: (8/20) | 4.72 s
[Task 10/25] Current/Best: 8.94/ 19.06 GFLOPS | Progress: (12/20) | 6.74 s
[Task 10/25] Current/Best: 11.31/ 20.46 GFLOPS | Progress: (16/20) | 9.40 s
[Task 10/25] Current/Best: 4.30/ 20.46 GFLOPS | Progress: (20/20) | 11.65 s Done.
-
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 16.08/ 16.08 GFLOPS | Progress: (4/20) | 3.16 s
[Task 11/25] Current/Best: 12.30/ 16.08 GFLOPS | Progress: (8/20) | 6.74 s Done.
-
[Task 11/25] Current/Best: 21.12/ 21.12 GFLOPS | Progress: (12/20) | 9.36 s
[Task 11/25] Current/Best: 14.41/ 21.12 GFLOPS | Progress: (16/20) | 11.89 s
[Task 11/25] Current/Best: 10.03/ 21.12 GFLOPS | Progress: (20/20) | 13.87 s Done.
-
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 11.71/ 16.56 GFLOPS | Progress: (4/20) | 3.26 s
[Task 12/25] Current/Best: 11.87/ 19.03 GFLOPS | Progress: (8/20) | 7.14 s
[Task 12/25] Current/Best: 14.81/ 19.03 GFLOPS | Progress: (12/20) | 12.75 s
[Task 12/25] Current/Best: 13.24/ 19.03 GFLOPS | Progress: (16/20) | 14.57 s
[Task 12/25] Current/Best: 12.94/ 20.27 GFLOPS | Progress: (20/20) | 17.77 s Done.
-
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 17.27/ 17.27 GFLOPS | Progress: (4/20) | 3.92 s
[Task 13/25] Current/Best: 12.70/ 20.91 GFLOPS | Progress: (8/20) | 6.23 s
[Task 13/25] Current/Best: 6.05/ 20.91 GFLOPS | Progress: (12/20) | 9.90 s
[Task 13/25] Current/Best: 12.19/ 20.91 GFLOPS | Progress: (16/20) | 11.56 s
[Task 13/25] Current/Best: 11.79/ 22.56 GFLOPS | Progress: (20/20) | 14.16 s Done.
-
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 9.72/ 19.79 GFLOPS | Progress: (4/20) | 5.24 s
[Task 14/25] Current/Best: 13.17/ 19.79 GFLOPS | Progress: (8/20) | 7.27 s
[Task 14/25] Current/Best: 20.73/ 20.73 GFLOPS | Progress: (12/20) | 11.41 s
[Task 14/25] Current/Best: 6.51/ 20.73 GFLOPS | Progress: (16/20) | 15.17 s
[Task 14/25] Current/Best: 4.25/ 20.73 GFLOPS | Progress: (20/20) | 16.57 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 9.85/ 18.25 GFLOPS | Progress: (4/20) | 4.40 s
[Task 15/25] Current/Best: 9.48/ 18.25 GFLOPS | Progress: (8/20) | 7.95 s
[Task 15/25] Current/Best: 14.42/ 18.25 GFLOPS | Progress: (12/20) | 10.22 s
[Task 15/25] Current/Best: 18.24/ 19.13 GFLOPS | Progress: (16/20) | 11.35 s
[Task 15/25] Current/Best: 12.19/ 19.91 GFLOPS | Progress: (20/20
) | 12.86 s Done.
-
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 12.58/ 18.83 GFLOPS | Progress: (4/20) | 2.33 s
[Task 16/25] Current/Best: 14.67/ 19.42 GFLOPS | Progress: (8/20) | 4.16 s
[Task 16/25] Current/Best: 12.15/ 19.42 GFLOPS | Progress: (12/20) | 5.51 s
[Task 16/25] Current/Best: 11.06/ 19.42 GFLOPS | Progress: (16/20) | 8.33 s
[Task 16/25] Current/Best: 17.07/ 19.42 GFLOPS | Progress: (20/20) | 9.70 s Done.
-
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 13.27/ 19.72 GFLOPS | Progress: (4/20) | 2.74 s
[Task 17/25] Current/Best: 22.15/ 22.15 GFLOPS | Progress: (8/20) | 5.36 s
[Task 17/25] Current/Best: 20.10/ 22.15 GFLOPS | Progress: (12/20) | 7.12 s
[Task 17/25] Current/Best: 8.98/ 22.15 GFLOPS | Progress: (16/20) | 9.66 s
[Task 17/25] Current/Best: 10.52/ 22.80 GFLOPS | Progress: (20/20) | 11.67 s Done.
-
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 18.41/ 18.41 GFLOPS | Progress: (4/20) | 6.70 s
[Task 18/25] Current/Best: 9.06/ 18.41 GFLOPS | Progress: (8/20) | 9.80 s
[Task 18/25] Current/Best: 3.08/ 18.49 GFLOPS | Progress: (12/20) | 12.11 s
[Task 18/25] Current/Best: 22.64/ 22.64 GFLOPS | Progress: (16/20) | 15.66 s
[Task 18/25] Current/Best: 10.54/ 22.64 GFLOPS | Progress: (20/20) | 18.19 s Done.
-
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 19.92/ 19.92 GFLOPS | Progress: (4/20) | 4.02 s
[Task 19/25] Current/Best: 19.18/ 19.92 GFLOPS | Progress: (8/20) | 9.42 s
[Task 19/25] Current/Best: 10.44/ 19.92 GFLOPS | Progress: (12/20) | 12.55 s
[Task 19/25] Current/Best: 8.83/ 20.91 GFLOPS | Progress: (16/20) | 14.70 s
[Task 19/25] Current/Best: 1.55/ 20.91 GFLOPS | Progress: (20/20) | 18.55 s Done.
-
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 6.07/ 13.53 GFLOPS | Progress: (4/20) | 3.17 s
[Task 20/25] Current/Best: 16.45/ 16.45 GFLOPS | Progress: (8/20) | 4.19 s
[Task 20/25] Current/Best: 16.94/ 16.94 GFLOPS | Progress: (12/20) | 6.69 s
[Task 20/25] Current/Best: 2.54/ 18.24 GFLOPS | Progress: (16/20) | 8.87 s
[Task 20/25] Current/Best: 16.66/ 18.24 GFLOPS | Progress: (20/20) | 11.04 s
[Task 21/25] 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: 10.77/ 16.79 GFLOPS | Progress: (4/20) | 5.70 s
[Task 1/25] Current/Best: 14.26/ 19.12 GFLOPS | Progress: (8/20) | 9.26 s
[Task 1/25] Current/Best: 11.25/ 19.12 GFLOPS | Progress: (12/20) | 12.72 s
[Task 1/25] Current/Best: 8.65/ 19.12 GFLOPS | Progress: (16/20) | 15.66 s
[Task 1/25] Current/Best: 6.41/ 19.12 GFLOPS | Progress: (20/20) | 19.42 s Done.
+
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 15.27/ 17.98 GFLOPS | Progress: (4/20) | 2.26 s
[Task 2/25] Current/Best: 18.83/ 18.83 GFLOPS | Progress: (8/20) | 3.48 s
[Task 2/25] Current/Best: 19.83/ 19.83 GFLOPS | Progress: (12/20) | 4.70 s
[Task 2/25] Current/Best: 21.59/ 21.59 GFLOPS | Progress: (16/20) | 5.78 s
[Task 2/25] Current/Best: 6.32/ 21.59 GFLOPS | Progress: (20/20) | 7.03 s Done.
+
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 14.30/ 21.88 GFLOPS | Progress: (4/20) | 3.19 s
[Task 3/25] Current/Best: 13.96/ 21.88 GFLOPS | Progress: (8/20) | 5.87 s
[Task 3/25] Current/Best: 10.83/ 21.88 GFLOPS | Progress: (12/20) | 8.64 s
[Task 3/25] Current/Best: 10.08/ 21.88 GFLOPS | Progress: (16/20) | 10.32 s
[Task 3/25] Current/Best: 12.78/ 21.88 GFLOPS | Progress: (20/20) | 12.51 s Done.
+
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 18.02/ 18.02 GFLOPS | Progress: (4/20) | 2.91 s
[Task 4/25] Current/Best: 18.14/ 22.71 GFLOPS | Progress: (8/20) | 13.64 s
[Task 4/25] Current/Best: 12.89/ 22.71 GFLOPS | Progress: (12/20) | 18.26 s
[Task 4/25] Current/Best: 9.41/ 22.71 GFLOPS | Progress: (16/20) | 20.55 s
[Task 4/25] Current/Best: 15.80/ 22.71 GFLOPS | Progress: (20/20) | 22.64 s
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 12.54/ 20.54 GFLOPS | Progress: (4/20) | 2.76 s
[Task 5/25] Current/Best: 5.34/ 20.54 GFLOPS | Progress: (8/20) | 4.55 s
[Task 5/25] Current/Best: 17.53/ 20.54 GFLOPS | Progress: (12/20) | 6.45 s
[Task 5/25] Current/Best: 20.22/ 20.54 GFLOPS | Progress: (16/20) | 8.41 s
[Task 5/25] Current/Best: 14.76/ 20.54 GFLOPS | Progress: (20/20)
| 9.98 s Done.
+
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 10.79/ 19.45 GFLOPS | Progress: (4/20) | 4.45 s
[Task 6/25] Current/Best: 6.05/ 21.14 GFLOPS | Progress: (8/20) | 6.52 s
[Task 6/25] Current/Best: 9.10/ 21.14 GFLOPS | Progress: (12/20) | 9.31 s
[Task 6/25] Current/Best: 17.92/ 21.14 GFLOPS | Progress: (16/20) | 11.27 s
[Task 6/25] Current/Best: 10.12/ 21.14 GFLOPS | Progress: (20/20) | 13.97 s Done.
+
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 11.79/ 20.01 GFLOPS | Progress: (4/20) | 3.19 s
[Task 7/25] Current/Best: 6.29/ 23.38 GFLOPS | Progress: (8/20) | 5.41 s
[Task 7/25] Current/Best: 1.58/ 23.38 GFLOPS | Progress: (12/20) | 8.82 s
[Task 7/25] Current/Best: 6.14/ 23.38 GFLOPS | Progress: (16/20) | 11.63 s
[Task 7/25] Current/Best: 6.67/ 23.38 GFLOPS | Progress: (20/20) | 13.85 s Done.
+
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 11.70/ 11.70 GFLOPS | Progress: (4/20) | 12.58 s
[Task 8/25] Current/Best: 19.64/ 19.64 GFLOPS | Progress: (8/20) | 14.85 s
[Task 8/25] Current/Best: 9.10/ 19.64 GFLOPS | Progress: (12/20) | 22.49 s
[Task 8/25] Current/Best: 10.15/ 19.64 GFLOPS | Progress: (16/20) | 30.97 s
[Task 8/25] Current/Best: 15.69/ 19.64 GFLOPS | Progress: (20/20) | 37.97 s
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-
[Task 21/25] Current/Best: 16.61/ 17.58 GFLOPS | Progress: (4/20) | 2.54 s
[Task 21/25] Current/Best: 12.83/ 19.74 GFLOPS | Progress: (8/20) | 4.17 s
[Task 21/25] Current/Best: 7.44/ 19.74 GFLOPS | Progress: (12/20) | 6.46 s
[Task 21/25] Current/Best: 11.03/ 19.74 GFLOPS | Progress: (16/20) | 8.42 s
[Task 21/25] Current/Best: 14.05/ 19.74 GFLOPS | Progress: (20/20) | 9.79 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 13.98/ 15.58 GFLOPS | Progress: (4/20) | 3.24 s
[Task 22/25] Current/Best: 14.48/ 15.62 GFLOPS | Progress: (8/20) | 5.21 s
[Task 22/25] Current/Best: 1.56/ 15.62 GFLOPS | Progress: (12/20) | 8.53 s
[Task 22/25] Current/Best: 8.81/ 15.81 GFLOPS | Progress: (16/20) | 9.85 s
[Task 22/25] Current/Best: 15.63/ 15.81 GFLOPS | Progress: (20/20) | 13.17 s Done.
-
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 13.06/ 23.91 GFLOPS | Progress: (4/20) | 3.21 s
[Task 23/25] Current/Best: 14.51/ 23.91 GFLOPS | Progress: (8/20) | 5.74 s
[Task 23/25] Current/Best: 10.71/ 23.91 GFLOPS | Progress: (12/20) | 8.15 s
[Task 23/25] Current/Best: 8.47/ 23.91 GFLOPS | Progress: (16/20) | 11.05 s
[Task 23/25] Current/Best: 2.65/ 23.91 GFLOPS | Progress: (20/20) | 17.52 s Done.
-
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 3.75/ 6.27 GFLOPS | Progress: (4/20) | 11.80 s
[Task 24/25] Current/Best: 3.13/ 6.27 GFLOPS | Progress: (8/20) | 22.29 s
[Task 24/25] Current/Best: 8.26/ 8.26 GFLOPS | Progress: (12/20) | 24.07 s Done.
-
[Task 24/25] Current/Best: 5.58/ 8.26 GFLOPS | Progress: (16/20) | 26.32 s
[Task 24/25] Current/Best: 3.38/ 10.72 GFLOPS | Progress: (20/20) | 35.13 s Done.
-
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 7.96/ 8.86 GFLOPS | Progress: (4/20) | 11.78 s
[Task 25/25] Current/Best: 1.48/ 8.86 GFLOPS | Progress: (8/20) | 22.45 s
[Task 25/25] Current/Best: 5.21/ 8.86 GFLOPS | Progress: (12/20) | 23.97 s
[Task 25/25] Current/Best: 7.22/ 8.86 GFLOPS | Progress: (16/20) | 29.02 s
[Task 25/25] Current/Best: 5.06/ 9.65 GFLOPS | Progress: (20/20) | 39.71 s
+
[Task 9/25] Current/Best: 14.69/ 16.92 GFLOPS | Progress: (4/20) | 7.91 s
[Task 9/25] Current/Best: 7.91/ 16.92 GFLOPS | Progress: (8/20) | 9.62 s
[Task 9/25] Current/Best: 3.21/ 16.92 GFLOPS | Progress: (12/20) | 11.88 s
[Task 9/25] Current/Best: 21.42/ 21.42 GFLOPS | Progress: (16/20) | 14.58 s
[Task 9/25] Current/Best: 15.24/ 21.42 GFLOPS | Progress: (20/20) | 16.39 s Done.
+
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 12.44/ 14.56 GFLOPS | Progress: (4/20) | 4.02 s
[Task 10/25] Current/Best: 11.49/ 14.56 GFLOPS | Progress: (8/20) | 6.98 s
[Task 10/25] Current/Best: 16.84/ 18.49 GFLOPS | Progress: (12/20) | 8.52 s
[Task 10/25] Current/Best: 14.30/ 18.49 GFLOPS | Progress: (16/20) | 10.07 s
[Task 10/25] Current/Best: 4.10/ 18.49 GFLOPS | Progress: (20/20) | 12.10 s Done.
+
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 6.24/ 17.31 GFLOPS | Progress: (4/20) | 3.49 s
[Task 11/25] Current/Best: 6.29/ 17.31 GFLOPS | Progress: (8/20) | 6.30 s
[Task 11/25] Current/Best: 3.12/ 17.31 GFLOPS | Progress: (12/20) | 8.98 s
[Task 11/25] Current/Best: 12.65/ 17.45 GFLOPS | Progress: (16/20) | 11.03 s
[Task 11/25] Current/Best: 10.53/ 20.67 GFLOPS | Progress: (20/20) | 13.02 s Done.
+
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 16.30/ 19.81 GFLOPS | Progress: (4/20) | 2.96 s
[Task 12/25] Current/Best: 17.96/ 19.81 GFLOPS | Progress: (8/20) | 6.28 s
[Task 12/25] Current/Best: 14.07/ 19.81 GFLOPS | Progress: (12/20) | 9.15 s
[Task 12/25] Current/Best: 9.64/ 19.81 GFLOPS | Progress: (16/20) | 13.14 s
[Task 12/25] Current/Best: 12.04/ 19.81 GFLOPS | Progress: (20/20) | 15.06 s Done.
+
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 18.19/ 22.68 GFLOPS | Progress: (4/20) | 3.57 s
[Task 13/25] Current/Best: 3.04/ 22.68 GFLOPS | Progress: (8/20) | 6.44 s
[Task 13/25] Current/Best: 18.19/ 22.68 GFLOPS | Progress: (12/20) | 9.50 s
[Task 13/25] Current/Best: 12.14/ 22.68 GFLOPS | Progress: (16/20) | 11.27 s
[Task 13/25] Current/Best: 15.39/ 22.68 GFLOPS | Progress: (20/20) | 14.05 s Done.
+
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 10.64/ 20.63 GFLOPS | Progress: (4/20) | 4.09 s
[Task 14/25] Current/Best: 10.47/ 20.63 GFLOPS | Progress: (8/20) | 10.08 s
[Task 14/25] Current/Best: 6.52/ 20.63 GFLOPS | Progress: (12/20) | 15.74 s
[Task 14/25] Current/Best: 9.08/ 20.63 GFLOPS | Progress: (16/20) | 17.46 s
[Task 14/25] Current/Best: 15.80/ 20.63 GFLOPS | Progress: (20/20) | 19.10 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 12.85/ 21.62 GFLOPS | Progress: (4/20) | 2.96 s
[Task 15/25] Current/Best: 7.14/ 21.62 GFLOPS | Progress: (8/20) | 5.98 s
[Task 15/25] Current/Best: 15.96/ 21.62 GFLOPS | Progress: (12/20) | 8.01 s
[Task 15/25] Current/Best: 23.07/ 23.07 GFLOPS | Progress: (16/20) | 9.13 s
[Task 15/25] Current/Best: 5.14/ 23.07 GFLOPS | Progress: (20/20)
| 15.69 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 13.87/ 17.83 GFLOPS | Progress: (4/20) | 2.54 s
[Task 16/25] Current/Best: 4.81/ 17.83 GFLOPS | Progress: (8/20) | 4.02 s
[Task 16/25] Current/Best: 3.12/ 17.83 GFLOPS | Progress: (12/20) | 6.63 s
[Task 16/25] Current/Best: 10.35/ 17.83 GFLOPS | Progress: (16/20) | 8.65 s
[Task 16/25] Current/Best: 16.70/ 18.45 GFLOPS | Progress: (20/20) | 9.98 s Done.
+
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 17.49/ 23.11 GFLOPS | Progress: (4/20) | 4.07 s
[Task 17/25] Current/Best: 18.90/ 23.11 GFLOPS | Progress: (8/20) | 5.84 s
[Task 17/25] Current/Best: 9.99/ 23.11 GFLOPS | Progress: (12/20) | 8.67 s
[Task 17/25] Current/Best: 10.23/ 23.11 GFLOPS | Progress: (16/20) | 10.35 s
[Task 17/25] Current/Best: 3.09/ 23.11 GFLOPS | Progress: (20/20) | 13.55 s Done.
+
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 7.06/ 20.45 GFLOPS | Progress: (4/20) | 5.21 s
[Task 18/25] Current/Best: 5.88/ 20.45 GFLOPS | Progress: (8/20) | 14.88 s
[Task 18/25] Current/Best: 17.58/ 20.45 GFLOPS | Progress: (12/20) | 19.00 s Done.
+ Done.
+
[Task 18/25] Current/Best: 15.04/ 20.45 GFLOPS | Progress: (16/20) | 25.26 s
[Task 18/25] Current/Best: 11.29/ 20.45 GFLOPS | Progress: (20/20) | 27.53 s Done.
+
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 2.69/ 19.39 GFLOPS | Progress: (4/20) | 4.79 s
[Task 19/25] Current/Best: 10.39/ 22.28 GFLOPS | Progress: (8/20) | 7.28 s
[Task 19/25] Current/Best: 1.55/ 22.28 GFLOPS | Progress: (12/20) | 12.21 s
[Task 19/25] Current/Best: 11.10/ 22.28 GFLOPS | Progress: (16/20) | 14.61 s
[Task 19/25] Current/Best: 10.71/ 22.95 GFLOPS | Progress: (20/20) | 17.00 s Done.
+
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 14.65/ 14.65 GFLOPS | Progress: (4/20) | 3.37 s
[Task 20/25] Current/Best: 2.31/ 19.11 GFLOPS | Progress: (8/20) | 6.40 s
[Task 20/25] Current/Best: 9.04/ 19.11 GFLOPS | Progress: (12/20) | 9.95 s
[Task 20/25] Current/Best: 4.61/ 20.45 GFLOPS | Progress: (16/20) | 12.26 s
[Task 20/25] Current/Best: 14.47/ 20.45 GFLOPS | Progress: (20/20) | 14.45 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 19.04/ 19.04 GFLOPS | Progress: (4/20) | 7.87 s
[Task 21/25] Current/Best: 18.54/ 19.04 GFLOPS | Progress: (8/20) | 10.45 s
[Task 21/25] Current/Best: 22.60/ 22.60 GFLOPS | Progress: (12/20) | 12.08 s
[Task 21/25] Current/Best: 14.65/ 22.60 GFLOPS | Progress: (16/20) | 14.54 s
[Task 21/25] Current/Best: 8.79/ 22.60 GFLOPS | Progress: (20/20
) | 17.42 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+
[Task 22/25] Current/Best: 11.23/ 17.02 GFLOPS | Progress: (4/20) | 2.95 s
[Task 22/25] Current/Best: 3.09/ 20.77 GFLOPS | Progress: (8/20) | 5.43 s
[Task 22/25] Current/Best: 9.99/ 20.77 GFLOPS | Progress: (12/20) | 7.36 s
[Task 22/25] Current/Best: 12.12/ 20.77 GFLOPS | Progress: (16/20) | 8.90 s
[Task 22/25] Current/Best: 8.06/ 20.77 GFLOPS | Progress: (20/20) | 10.89 s Done.
+
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 19.99/ 21.57 GFLOPS | Progress: (4/20) | 3.25 s
[Task 23/25] Current/Best: 10.37/ 21.57 GFLOPS | Progress: (8/20) | 6.22 s
[Task 23/25] Current/Best: 22.64/ 22.64 GFLOPS | Progress: (12/20) | 8.53 s
[Task 23/25] Current/Best: 19.70/ 22.64 GFLOPS | Progress: (16/20) | 11.61 s
[Task 23/25] Current/Best: 13.60/ 22.64 GFLOPS | Progress: (20/20) | 13.39 s Done.
+
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 10.04/ 10.04 GFLOPS | Progress: (4/20) | 11.85 s
[Task 24/25] Current/Best: 8.19/ 10.04 GFLOPS | Progress: (8/20) | 20.97 s
[Task 24/25] Current/Best: 9.90/ 10.04 GFLOPS | Progress: (12/20) | 25.64 s
[Task 24/25] Current/Best: 2.99/ 10.04 GFLOPS | Progress: (16/20) | 36.12 s
[Task 24/25] Current/Best: 0.55/ 10.04 GFLOPS | Progress: (20/20) | 47.55 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 5.71/ 7.25 GFLOPS | Progress: (4/20) | 11.85 s Done.
+
[Task 25/25] Current/Best: 8.77/ 8.77 GFLOPS | Progress: (8/20) | 22.33 s
[Task 25/25] Current/Best: 7.33/ 8.77 GFLOPS | Progress: (12/20) | 24.68 s
[Task 25/25] Current/Best: 5.57/ 8.77 GFLOPS | Progress: (16/20) | 26.07 s
[Task 25/25] Current/Best: 1.54/ 8.82 GFLOPS | Progress: (20/20) | 30.26 s
@@ -674,8 +674,8 @@ Verify that the optimized model runs and produces the same results:
.. code-block:: none
- class='n02123045 tabby, tabby cat' with probability=0.621103
- class='n02123159 tiger cat' with probability=0.356379
+ class='n02123045 tabby, tabby cat' with probability=0.621104
+ class='n02123159 tiger cat' with probability=0.356378
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -732,8 +732,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 416.18359676999717, 'median': 416.04919939999263, 'std': 1.080433058309313}
- unoptimized: {'mean': 510.5090909899979, 'median': 510.57848135000654, 'std': 1.257277929183221}
+ optimized: {'mean': 408.4285006200207, 'median': 408.20464590001393, 'std': 0.9536679791185759}
+ unoptimized: {'mean': 515.1432214500073, 'median': 515.8314052499918, 'std': 2.114749507840176}
@@ -756,7 +756,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 10 minutes 19.428 seconds)
+ **Total running time of the script:** ( 10 minutes 38.852 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 c66fc5cdb8..77536c8538 100644
--- a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
@@ -282,7 +282,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.268e-07 secs/op
+ 1.249e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 08839e8617..be121629d1 100644
--- a/docs/_sources/tutorial/intro_topi.rst.txt
+++ b/docs/_sources/tutorial/intro_topi.rst.txt
@@ -263,7 +263,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, placeholder(a, 0xded78f0)), stage(b, placeholder(b, 0x116427e0)), 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(min [...]
+ [stage(a, placeholder(a, 0x20b6c410)), stage(b, placeholder(b, 0x15cc8690)), 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 1e47632390..74ef3311bb 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,32 +5,32 @@
Computation times
=================
-**13:06.819** total execution time for **tutorial** files:
+**13:36.036** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 10:19.428 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 10:38.852 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 01:01.733 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 01:01.657 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 00:51.954 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 00:56.732 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:30.678 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:31.527 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:21.074 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:25.831 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:01.089 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.718 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.697 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.541 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.157 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.168 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``) | 00:00.005 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_uma.py` (``uma.py``) | 00:00.002 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_uma.py` (``uma.py``) | 00:00.001 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``) | 00:00.001 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_install.py` (``install.py``) | 00:00.001 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``) | 00:00.001 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_install.py` (``install.py``) | 00:00.001 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``) | 00:00.001 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index a971b681a4..001caf28e5 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -294,7 +294,7 @@ helper function to run a profile of the TVM generated code.
.. code-block:: none
- Numpy running time: 0.000008
+ Numpy running time: 0.000007
naive: 0.000007
@@ -501,10 +501,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 7.637039998371619e-06 1.0
- naive 7.0358000000000005e-06 0.9212731636210082
- parallel 7.3192e-06 0.9583817816275167
- vector 2.45864e-05 3.2193624762005104
+ numpy 7.263620000230731e-06 1.0
+ naive 6.651999999999999e-06 0.9157968065219129
+ parallel 6.945800000000001e-06 0.9562449577179651
+ vector 2.5375100000000004e-05 3.493450923808508
@@ -925,7 +925,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.018433
+ Numpy running time: 0.018626
@@ -983,7 +983,7 @@ optimizations.
.. code-block:: none
- none: 3.488412
+ none: 3.456408
@@ -1086,7 +1086,7 @@ schedule.
.. code-block:: none
- blocking: 0.296257
+ blocking: 0.307017
@@ -1182,7 +1182,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.335934
+ vectorization: 0.342447
@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], []),
@@ -1256,7 +1256,7 @@ more cache friendly.
.. code-block:: none
- loop permutation: 0.114811
+ loop permutation: 0.117504
@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], []),
@@ -1355,7 +1355,7 @@ optimized schedule.
.. code-block:: none
- array packing: 0.107889
+ array packing: 0.108555
@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], []),
@@ -1448,7 +1448,7 @@ to `C` when all the block results are ready.
.. code-block:: none
- block caching: 0.110217
+ block caching: 0.110700
@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], []),
@@ -1534,7 +1534,7 @@ of thread-level parallelization.
.. code-block:: none
- parallelization: 0.145541
+ parallelization: 0.147006
@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], []),
@@ -1615,13 +1615,13 @@ working, we can compare the results.
.. code-block:: none
Operator Timing Performance
- none 3.4884116279000006 1.0
- blocking 0.2962569233 0.08492602218458507
- vectorization 0.3359337591 0.09629991954310443
- loop permutation 0.1148114477 0.0329122420019898
- array packing 0.107888973 0.030927821744748743
- block caching 0.1102171894 0.031595236215386076
- parallelization 0.1455408451 0.04172123608807444
+ none 3.4564078448 1.0
+ blocking 0.3070172698 0.0888255332083836
+ vectorization 0.3424466218 0.09907587217035008
+ loop permutation 0.1175042063 0.03399604779765196
+ array packing 0.1085553464 0.031406984150703254
+ block caching 0.11070007180000001 0.032027491190469014
+ parallelization 0.1470064796 0.0425315779274035
@@ -1663,7 +1663,7 @@ the computation for specific platforms.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 1.733 seconds)
+ **Total running time of the script:** ( 1 minutes 1.657 seconds)
.. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
diff --git a/docs/commit_hash b/docs/commit_hash
index e02dec290f..af6e6758a9 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-4e783a6087fd236c588cde30e0ac99daa15afe61
+86f9580498e7d4b5c826e7ae55b05f2a4e35a95c
diff --git a/docs/genindex.html b/docs/genindex.html
index c5afc44599..45baa22325 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -2320,11 +2320,7 @@
<li><a href="reference/api/python/relay/transform.html#tvm.relay.transform.LambdaLift">LambdaLift() (in module tvm.relay.transform)</a>
</li>
<li><a href="reference/api/python/relay/nn.html#tvm.relay.nn.layer_norm">layer_norm() (in module tvm.relay.nn)</a>
-
- <ul>
- <li><a href="reference/api/python/topi.html#tvm.topi.nn.layer_norm">(in module tvm.topi.nn)</a>
</li>
- </ul></li>
<li><a href="reference/api/python/tir.html#tvm.tir.Layout">Layout (class in tvm.tir)</a>
</li>
<li><a href="reference/api/python/tir.html#tvm.tir.layout">layout() (in module tvm.tir)</a>
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index d847787e1e..ec463021a6 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -572,7 +572,7 @@ class:['truck 0.9266'] left:471 top:83 right:689 bottom:169
class:['bicycle 0.9984'] left:111 top:113 right:577 bottom:447
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 2.345 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 5.563 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.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_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_keras.html b/docs/how_to/compile_models/from_keras.html
index 5c96618a47..af5b8c29d4 100644
--- a/docs/how_to/compile_models/from_keras.html
+++ b/docs/how_to/compile_models/from_keras.html
@@ -493,7 +493,7 @@ pip install -U tensorflow --user
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Relay top-1 id: 285, class name: Egyptian cat
1/1 [==============================] - ETA: 0s
-1/1 [==============================] - 1s 952ms/step
+1/1 [==============================] - 1s 957ms/step
Keras top-1 id: 285, class name: Egyptian cat
</pre></div>
</div>
diff --git a/docs/how_to/compile_models/from_mxnet.html b/docs/how_to/compile_models/from_mxnet.html
index 1d015ba89a..d356c350a0 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -427,7 +427,7 @@ to download the full example code</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"x"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">x</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipb4fe9518-3411-4a64-8110-b3cf781ae214 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip463ba136-54d2-4d4d-ab69-698d3f3f475e 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 0c99a28827..54a13ba378 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -435,12 +435,13 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
<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
0%| | 0.00/41.5M [00:00<?, ?B/s]
- 19%|#9 | 7.99M/41.5M [00:00<00:00, 66.9MB/s]
- 39%|###8 | 16.0M/41.5M [00:00<00:00, 71.1MB/s]
- 58%|#####7 | 24.0M/41.5M [00:00<00:00, 68.0MB/s]
- 77%|#######7 | 32.0M/41.5M [00:00<00:00, 73.2MB/s]
- 94%|#########4| 39.1M/41.5M [00:00<00:00, 52.7MB/s]
-100%|##########| 41.5M/41.5M [00:00<00:00, 59.7MB/s]
+ 19%|#9 | 7.99M/41.5M [00:00<00:00, 43.2MB/s]
+ 35%|###4 | 14.3M/41.5M [00:00<00:00, 39.0MB/s]
+ 43%|####3 | 18.0M/41.5M [00:00<00:00, 38.6MB/s]
+ 58%|#####7 | 24.0M/41.5M [00:00<00:00, 35.5MB/s]
+ 77%|#######7 | 32.0M/41.5M [00:00<00:00, 44.2MB/s]
+ 92%|#########2| 38.3M/41.5M [00:00<00:00, 44.0MB/s]
+100%|##########| 41.5M/41.5M [00:01<00:00, 41.6MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index 7f16c61a51..bdd7edf00c 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -414,9 +414,14 @@ 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
0%| | 0.00/44.7M [00:00<?, ?B/s]
- 22%|##1 | 9.76M/44.7M [00:00<00:00, 102MB/s]
- 46%|####6 | 20.6M/44.7M [00:00<00:00, 109MB/s]
-100%|##########| 44.7M/44.7M [00:00<00:00, 157MB/s]
+ 2%|2 | 936k/44.7M [00:00<00:04, 9.55MB/s]
+ 17%|#7 | 7.59M/44.7M [00:00<00:00, 44.9MB/s]
+ 33%|###3 | 14.8M/44.7M [00:00<00:00, 58.7MB/s]
+ 49%|####9 | 22.0M/44.7M [00:00<00:00, 65.4MB/s]
+ 66%|######5 | 29.3M/44.7M [00:00<00:00, 69.5MB/s]
+ 82%|########2 | 36.8M/44.7M [00:00<00:00, 72.1MB/s]
+ 99%|#########9| 44.3M/44.7M [00:00<00:00, 74.3MB/s]
+100%|##########| 44.7M/44.7M [00:00<00:00, 66.2MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 3eb1c570ac..da02fe007e 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -632,7 +632,7 @@ 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 3.087 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 7.128 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-tensorflow-py">
<div class="sphx-glr-download sphx-glr-download-python 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 b41d61f10e..821a5ad4e4 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>05:02.529</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>05:14.906</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -336,43 +336,43 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>01:03.087</p></td>
+<td><p>01:07.128</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>01:02.345</p></td>
+<td><p>01:05.563</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:38.976</p></td>
+<td><p>00:40.411</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:27.497</p></td>
+<td><p>00:28.722</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:26.280</p></td>
+<td><p>00:25.822</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:24.429</p></td>
+<td><p>00:24.844</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:21.363</p></td>
+<td><p>00:22.371</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:19.564</p></td>
+<td><p>00:20.633</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:16.439</p></td>
+<td><p>00:16.939</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:02.550</p></td>
+<td><p>00:02.472</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
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 38701c5cfc..74af8cf24d 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -649,7 +649,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 15.6156 15.5715 15.9768 15.5318 0.1261
+ 16.0366 16.0398 16.1491 15.9448 0.0654
</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 7540b2050c..3ac1bf090d 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -436,16 +436,29 @@ 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').
@@ -539,7 +552,7 @@ 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> ( 2 minutes 54.438 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 5.656 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-object-detection-pytorch-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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 48c7afb750..58c49f8acd 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -480,7 +480,9 @@ 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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</pre></div>
</div>
</div>
@@ -565,7 +567,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
</div>
<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)
- 90.1920 90.1001 92.8598 89.9293 0.3587
+ 90.4737 90.2745 99.3943 90.0481 1.0055
</pre></div>
</div>
<div class="admonition note">
@@ -604,7 +606,7 @@ 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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 7.664 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 9.732 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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 5b87d64d01..74109b29db 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -569,7 +569,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
</div>
<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)
- 119.2496 119.4333 122.3497 117.1914 1.0613
+ 120.7512 120.7503 123.2211 119.6351 0.4774
</pre></div>
</div>
<div class="admonition note">
@@ -597,7 +597,7 @@ network for ARM CPU</span></a>.</p></li>
</ul>
</div></blockquote>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 52.227 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 52.425 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-tflite-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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 21bf04b1df..36bb09cb12 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -507,7 +507,7 @@ for calibration. But the accuracy might be impacted.</p>
DeprecationWarning,
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 22.168 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 27.854 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-quantized-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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 9474a8588a..9c89f85312 100644
--- a/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
+++ b/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
@@ -441,25 +441,28 @@ 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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</pre></div>
</div>
<p>Create TVM runtime and do inference
@@ -498,7 +501,7 @@ Downloading /workspace/.mxnet/models/ssd_512_resnet50_v1_voc-9c8b225a.zip from h
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" srcset="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" alt="deploy ssd gluoncv" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 33.980 seconds)</p>
+<img src="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" srcset="../../_images/sphx_glr_deploy_ssd_gluoncv_001.png" alt="deploy ssd gluoncv" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 39.410 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-ssd-gluoncv-py">
<div class="sphx-glr-download sphx-glr-download-python 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 090a2f817f..bd812fda56 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>11:03.720</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>11:31.085</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
@@ -336,35 +336,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>02:54.438</p></td>
+<td><p>03:05.656</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>02:33.980</p></td>
+<td><p>02:39.410</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>01:52.227</p></td>
+<td><p>01:52.425</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>01:22.168</p></td>
+<td><p>01:27.854</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>01:07.664</p></td>
+<td><p>01:09.732</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:29.555</p></td>
+<td><p>00:30.988</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:22.025</p></td>
+<td><p>00:22.700</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:21.658</p></td>
+<td><p>00:22.315</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
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 5878f88e4b..16e969f6f3 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -608,7 +608,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
<span class="n">module</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">params</span></a> <span class="o">=</span> <span class="n">get_mobilenet</span><span class="p">()</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip18a0ccaa-7530-4369-9b75-790d8fb0e3ef 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.zipb3320105-0f8d-4b66-85f8-8e0c5717e4eb 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>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 0ae4fb1513..c01b83dcec 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>00:40.753</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:41.691</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -336,15 +336,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:37.678</p></td>
+<td><p>00:38.482</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:02.153</p></td>
+<td><p>00:02.237</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:00.915</p></td>
+<td><p>00:00.963</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 1a6241b827..6e6dd1870d 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -512,10 +512,10 @@ profile the execution time of each passes.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 6751us [6751us] (45.94%; 45.94%)
-FoldScaleAxis: 7945us [5us] (54.06%; 54.06%)
- FoldConstant: 7940us [1626us] (54.03%; 99.94%)
- InferType: 6313us [6313us] (42.96%; 79.52%)
+InferType: 7128us [7128us] (47.01%; 47.01%)
+FoldScaleAxis: 8034us [6us] (52.99%; 52.99%)
+ FoldConstant: 8028us [1697us] (52.95%; 99.92%)
+ InferType: 6330us [6330us] (41.75%; 78.86%)
</pre></div>
</div>
</div>
@@ -537,10 +537,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 6342us [6342us] (44.68%; 44.68%)
-FoldScaleAxis: 7852us [5us] (55.32%; 55.32%)
- FoldConstant: 7847us [1632us] (55.29%; 99.94%)
- InferType: 6215us [6215us] (43.79%; 79.20%)
+InferType: 6356us [6356us] (44.46%; 44.46%)
+FoldScaleAxis: 7941us [5us] (55.54%; 55.54%)
+ FoldConstant: 7936us [1690us] (55.51%; 99.93%)
+ InferType: 6246us [6246us] (43.69%; 78.70%)
</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 893c864ed9..27dafff4d2 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -564,7 +564,7 @@ latency of convolution.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Convolution: </span><span class="si">%f</span><span class="s2"> ms"</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">*</span> <span cl [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 54.208480 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 51.342174 ms
</pre></div>
</div>
<div class="sphx-glr-footer 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 a54f355180..1bc20253fc 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -906,7 +906,7 @@ be able to run on our build server</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms"</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 6.682477 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 13.224876 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 cb402f8ea5..c49e349447 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -461,8 +461,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
<span class="nb">print</span><span class="p">(</span><span class="s2">"Baseline: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017839
-Baseline: 3.487118
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018877
+Baseline: 3.439012
</pre></div>
</div>
<p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -522,7 +522,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt1: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.293766
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.305783
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -589,7 +589,7 @@ vastly.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt2: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.330934
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.341164
</pre></div>
</div>
<p>Here is the generated IR after vectorization.</p>
@@ -650,7 +650,7 @@ the access pattern for A matrix is more cache friendly.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt3: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.113946
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.121627
</pre></div>
</div>
<p>Here is the generated IR after loop permutation.</p>
@@ -733,7 +733,7 @@ flattening.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt4: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.109250
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.109966
</pre></div>
</div>
<p>Here is the generated IR after array packing.</p>
@@ -819,7 +819,7 @@ write to C when all the block results are ready.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt5: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.111532
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.111316
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -909,7 +909,7 @@ write to C when all the block results are ready.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt6: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">opt6_time</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.147087
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.149171
</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 17aef5823d..6a23dc1960 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>00:34.556</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:35.278</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -336,15 +336,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:32.220</p></td>
+<td><p>00:32.641</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:01.290</p></td>
+<td><p>00:01.448</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:01.046</p></td>
+<td><p>00:01.189</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
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 3982f8d5f3..fe41bdb72b 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>06:26.086</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>06:37.850</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -336,27 +336,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>03:21.096</p></td>
+<td><p>03:39.142</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>01:22.136</p></td>
+<td><p>01:23.975</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:56.053</p></td>
+<td><p>00:57.111</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:29.591</p></td>
+<td><p>00:19.662</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:08.701</p></td>
+<td><p>00:09.060</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:08.509</p></td>
+<td><p>00:08.901</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
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 8b0d7b157d..11d5326b6d 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
@@ -475,6 +475,9 @@ file and apply it.</p>
<span class="k">del</span> <span class="n">measure_ctx</span>
</pre></div>
</div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>.T
+</pre></div>
+</div>
<p>We can lower the schedule to see the IR after auto-scheduling.
The auto-scheduler correctly performs optimizations including multi-level tiling,
cooperative fetching, unrolling and operator fusion.</p>
@@ -491,316 +494,592 @@ 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" = 64;
- allocate(conv2d_nchw: Pointer(local float32), float32, [7]), storage_scope = local;
- allocate(pad_temp.shared: Pointer(shared float32), float32, [4032]), storage_scope = shared;
- allocate(kernel.shared: Pointer(shared float32), float32, [1536]), storage_scope = shared;
- attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- conv2d_nchw_1: Buffer(conv2d_nchw, float32, [7], [], scope="local", align=16)[0] = 0f32
+ attr [IterVar(blockIdx.x: int32, (nullptr), "ThreadIndex", "blockIdx.x")] "thread_extent" = 16;
+ allocate(conv2d_nchw: Pointer(local float32), float32, [14]), storage_scope = local;
+ allocate(pad_temp.shared: Pointer(shared float32), float32, [2592]), storage_scope = shared;
+ allocate(kernel.shared: Pointer(shared float32), float32, [9216]), storage_scope = shared;
+ attr [IterVar(threadIdx.x: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112 {
+ conv2d_nchw_1: Buffer(conv2d_nchw, float32, [49], [], scope="local", align=16)[0] = 0f32
+ conv2d_nchw_1[7] = 0f32
conv2d_nchw_1[1] = 0f32
+ conv2d_nchw_1[8] = 0f32
conv2d_nchw_1[2] = 0f32
+ conv2d_nchw_1[9] = 0f32
conv2d_nchw_1[3] = 0f32
+ conv2d_nchw_1[10] = 0f32
conv2d_nchw_1[4] = 0f32
+ conv2d_nchw_1[11] = 0f32
conv2d_nchw_1[5] = 0f32
+ conv2d_nchw_1[12] = 0f32
conv2d_nchw_1[6] = 0f32
- for (rc.outer.outer: int32, 0, 8) {
- for (rx.outer.outer: int32, 0, 3) {
- let cse_var_2: int32 = (rc.outer.outer*3136)
- let cse_var_1: int32 = (rc.outer.outer*576)
- {
- attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1: Buffer(pad_temp.shared, float32, [4032], [], scope="shared")[(threadIdx.x_1*2)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 6 [...]
- pad_temp.shared_1[((threadIdx.x_1*2) + 1)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) - 8)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 112), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 113), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 224), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 225), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 336), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 337), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 448), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 449), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 560), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 561), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 672), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 673), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 784), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 785), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 896), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (fl [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 897), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 1008)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 776)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 1009)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 776)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1120), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1121), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1232), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1233), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1344), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1345), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1456), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1457), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1568), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1569), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1680), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1681), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1792), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1793), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1904), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 1905), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 2016)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 1560)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 2017)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 1560)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2128), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2129), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2240), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2241), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2352), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2353), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2464), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2465), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2576), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2577), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2688), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2689), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2800), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2801), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2912), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 2913), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[((threadIdx.x_1*2) + 3024)] = @tir.if_then_else(((((7 <= floormod((threadIdx.x_1*2), 63)) && (floormod((threadIdx.x_1*2), 63) < 56)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1*2), 63)*49)) + rx.outer.outer) + floormod((threadIdx.x_1*2), 63)) + 2344)], 0f32, dtype=float32)
- pad_temp.shared_1[((threadIdx.x_1*2) + 3025)] = @tir.if_then_else(((((7 <= floormod(((threadIdx.x_1*2) + 1), 63)) && (floormod(((threadIdx.x_1*2) + 1), 63) < 56)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)) < 8)), data[((((cse_var_2 + (floordiv(((threadIdx.x_1*2) + 1), 63)*49)) + rx.outer.outer) + floormod(((threadIdx.x_1*2) + 1), 63)) + 2344)], 0f32, dtype=float32)
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3136), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3137), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 7), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3248), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3249), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 5), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3360), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3361), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 3), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3472), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3473), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 1), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3584), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3585), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 8), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3696), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3697), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 6), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3808), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3809), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 4), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56 {
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3920), 63)*63) + (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)*7)) + floormod((threadIdx.x_1*2), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9)) && (floormod((floordiv((threadIdx.x_1*2), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod((threadIdx.x_1*2), 7)))) && ((rx.outer.outer + floormod((threadIdx.x_1*2), 7)) < 8)), data[(((((cse_var_2 + (f [...]
- pad_temp.shared_1[(((floordiv(((threadIdx.x_1*2) + 3921), 63)*63) + (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)*7)) + floormod(((threadIdx.x_1*2) + 1), 7))] = @tir.if_then_else(((((1 <= floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9)) && (floormod((floordiv(((threadIdx.x_1*2) + 1), 7) + 2), 9) < 8)) && (1 <= (rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7)))) && ((rx.outer.outer + floormod(((threadIdx.x_1*2) + 1), 7) [...]
- }
- attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1: Buffer(kernel.shared, float32, [1536], [], scope="shared")[threadIdx.x_2] = kernel[((((blockIdx.x*36864) + cse_var_1) + (threadIdx.x_2*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 56)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (floordiv((threadIdx.x_2 + 56), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (floordiv((threadIdx.x_2 + 112), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 168)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 168), 192)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 56), 64)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 224), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 280)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 280), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 88), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 336), 192)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 48), 64)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 392)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 392), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 8), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 448)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 448), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 504)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 504), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 40)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 560)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 560), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 616)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 616), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 40), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 672)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 672), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 728)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 728), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 152), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 784)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 784), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 840)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 840), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 24)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 896)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 896), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 952)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 952), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 184), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1008)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1008), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1064)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1064), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 104), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1120)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1120), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1176)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1176), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 8)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1232)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1232), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1288)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1288), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 136), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1344)] = kernel[(((((blockIdx.x*36864) + cse_var_1) + (threadIdx.x_2*3)) + rx.outer.outer) + 32256)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1400)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1400), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 56), 192), 3)*9)) + (floormod((threadIdx.x_2 + 2), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- kernel.shared_1[(threadIdx.x_2 + 1456)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1456), 192)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 192), 3)*9)) + (floormod((threadIdx.x_2 + 1), 3)*3)) + rx.outer.outer)]
- attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 56;
- if @tir.likely((threadIdx.x_2 < 24), dtype=bool) {
- kernel.shared_1[(threadIdx.x_2 + 1512)] = kernel[((((((blockIdx.x*36864) + (floordiv((threadIdx.x_2 + 1512), 192)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 56)*9)) + (floormod(threadIdx.x_2, 3)*3)) + rx.outer.outer)]
- }
- for (rc.outer.inner: int32, 0, 16) {
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((rc.outer.inner*252) + floormod(threadIdx.x, 7))]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 7)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12))]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 63)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 70)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 3)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 126)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 133)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 6)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 189)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 196)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 9)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 7)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 49)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 1)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 70)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 112)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 4)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 133)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 175)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 7)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 196)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 238)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 10)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 14)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 21)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 28)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 35)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 42)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 49)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 56)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 2)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 77)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 84)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 91)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 98)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 105)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 112)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 119)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 5)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 140)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 147)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 154)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 161)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 168)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 175)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 182)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 8)]))
- conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 203)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 210)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 217)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 224)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 231)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 238)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
- conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[(((rc.outer.inner*252) + floormod(threadIdx.x, 7)) + 245)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*192) + (rc.outer.inner*12)) + 11)]))
+ conv2d_nchw_1[13] = 0f32
+ for (rc.outer.outer: int32, 0, 16) {
+ let cse_var_2: int32 = (rc.outer.outer*1568)
+ let cse_var_1: int32 = (rc.outer.outer*288)
+ {
+ attr [IterVar(threadIdx.x_1: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ pad_temp.shared_1: Buffer(pad_temp.shared, float32, [2592], [], scope="shared")[threadIdx.x_1] = @tir.if_then_else(((((9 <= floormod(threadIdx.x_1, 81)) && (floormod(threadIdx.x_1, 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv(threadIdx.x_1, 81)*49)) + (floordiv(floormod(threadIdx.x_1, 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 31), 81)) && (floormod((threadIdx.x_1 + 31), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 112), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 31), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 62), 81)) && (floormod((threadIdx.x_1 + 62), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 224), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 62), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 12), 81)) && (floormod((threadIdx.x_1 + 12), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 336), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 12), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 43), 81)) && (floormod((threadIdx.x_1 + 43), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 448), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 43), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 74), 81)) && (floormod((threadIdx.x_1 + 74), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 560), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 74), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 24), 81)) && (floormod((threadIdx.x_1 + 24), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 672), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 24), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 55), 81)) && (floormod((threadIdx.x_1 + 55), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 784), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 55), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 5), 81)) && (floormod((threadIdx.x_1 + 5), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 896), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 5), 81), 9)*7)) + 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 <= floormod((floordiv(threadIdx.x_1, 9) + 4), 9)) && (floormod((threadIdx.x_1 + 36), 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1008), 81)*49)) + (floormod((floordiv(threadIdx.x_1, 9) + 4), 9)*7)) + 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 + 1120)] = @tir.if_then_else(((((9 <= floormod((threadIdx.x_1 + 67), 81)) && (floormod((threadIdx.x_1 + 67), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1120), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 67), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 17), 81)) && (floormod((threadIdx.x_1 + 17), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1232), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 17), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 48), 81)) && (floormod((threadIdx.x_1 + 48), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1344), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 48), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 79), 81)) && (floormod((threadIdx.x_1 + 79), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1456), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 79), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 29), 81)) && (floormod((threadIdx.x_1 + 29), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1568), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 29), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 60), 81)) && (floormod((threadIdx.x_1 + 60), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 6), 9))) && (floormod((threadIdx.x_1 + 6), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1680), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 60), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 10), 81)) && (floormod((threadIdx.x_1 + 10), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 1), 9))) && (floormod((threadIdx.x_1 + 1), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1792), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 10), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 41), 81)) && (floormod((threadIdx.x_1 + 41), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 5), 9))) && (floormod((threadIdx.x_1 + 5), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 1904), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 41), 81), 9)*7)) + 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 <= floormod((floordiv(threadIdx.x_1, 9) + 8), 9)) && (floormod((threadIdx.x_1 + 72), 81) < 72)) && (1 <= floormod(threadIdx.x_1, 9))) && (floormod(threadIdx.x_1, 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2016), 81)*49)) + (floormod((floordiv(threadIdx.x_1, 9) + 8), 9)*7)) + 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 + 2128)] = @tir.if_then_else(((((9 <= floormod((threadIdx.x_1 + 22), 81)) && (floormod((threadIdx.x_1 + 22), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 4), 9))) && (floormod((threadIdx.x_1 + 4), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2128), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 22), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 53), 81)) && (floormod((threadIdx.x_1 + 53), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 8), 9))) && (floormod((threadIdx.x_1 + 8), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2240), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 53), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 3), 81)) && (floormod((threadIdx.x_1 + 3), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 3), 9))) && (floormod((threadIdx.x_1 + 3), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2352), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 3), 81), 9)*7)) + 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(((((9 <= floormod((threadIdx.x_1 + 34), 81)) && (floormod((threadIdx.x_1 + 34), 81) < 72)) && (1 <= floormod((threadIdx.x_1 + 7), 9))) && (floormod((threadIdx.x_1 + 7), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2464), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 34), 81), 9)*7)) + floormod((threadIdx.x_1 + 7), 9)) - 8)], 0f32, dtype=float32)
+ attr [IterVar(threadIdx.x_1, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ if @tir.likely((threadIdx.x_1 < 16), dtype=bool) {
+ pad_temp.shared_1[(threadIdx.x_1 + 2576)] = @tir.if_then_else((((threadIdx.x_1 < 7) && (1 <= floormod((threadIdx.x_1 + 2), 9))) && (floormod((threadIdx.x_1 + 2), 9) < 8)), data[((((cse_var_2 + (floordiv((threadIdx.x_1 + 2576), 81)*49)) + (floordiv(floormod((threadIdx.x_1 + 65), 81), 9)*7)) + (threadIdx.x_1 + 2)) - 8)], 0f32, dtype=float32)
+ }
+ attr [IterVar(threadIdx.x_2: int32, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1: Buffer(kernel.shared, float32, [9216], [], scope="shared")[threadIdx.x_2] = kernel[(((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 112)] = kernel[((((blockIdx.x*147456) + cse_var_1) + (floordiv((threadIdx.x_2 + 112), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 224)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 224), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 336)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 336), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 448)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 448), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 560)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 560), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 672)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 672), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 784)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 784), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 896)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 896), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1008)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1008), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1120)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1120), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1232)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1232), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1344)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1344), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1456)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1456), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1568)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1568), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1680)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1680), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1792)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1792), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 1904)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 1904), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2016)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 32256)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2128)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2128), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2240)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2240), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2352)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2352), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2464)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2464), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2576)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2576), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2688)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2688), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2800)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2800), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 2912)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 2912), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3024)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3024), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3136)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3136), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3248)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3248), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3360)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3360), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3472)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3472), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3584)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3584), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3696)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3696), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3808)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3808), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 3920)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 3920), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4032)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 64512)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4144)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4144), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4256)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4256), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4368)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4368), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4480)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4480), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4592)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4592), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4704)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4704), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4816)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4816), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 4928)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 4928), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5040)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5040), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5152)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5152), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5264)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5264), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5376)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5376), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5488)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5488), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5600)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5600), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5712)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5712), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5824)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5824), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 5936)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 5936), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6048)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 96768)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6160)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6160), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6272)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6272), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6384)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6384), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6496)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6496), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6608)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6608), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6720)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6720), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6832)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6832), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 6944)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 6944), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7056)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7056), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7168)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7168), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7280)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7280), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 80), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7392)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7392), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 64), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7504)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7504), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 16), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7616)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7616), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 128), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7728)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7728), 288)*4608)) + cse_var_1) + (floormod((floordiv(threadIdx.x_2, 3) + 80), 96)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7840)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7840), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 64), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 7952)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 7952), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 176), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8064)] = kernel[((((blockIdx.x*147456) + cse_var_1) + threadIdx.x_2) + 129024)]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8176)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8176), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 112), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8288)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8288), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 224), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8400)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8400), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 16)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8512)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8512), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 160), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8624)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8624), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 272), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8736)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8736), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 32)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8848)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8848), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 208), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 8960)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 8960), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 32), 288), 3)*3)) + floormod((threadIdx.x_2 + 2), 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ kernel.shared_1[(threadIdx.x_2 + 9072)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 9072), 288)*4608)) + cse_var_1) + ((floordiv(threadIdx.x_2, 3) + 48)*3)) + floormod(threadIdx.x_2, 3))]
+ attr [IterVar(threadIdx.x_2, (nullptr), "ThreadIndex", "threadIdx.x")] "thread_extent" = 112;
+ if @tir.likely((threadIdx.x_2 < 32), dtype=bool) {
+ kernel.shared_1[(threadIdx.x_2 + 9184)] = kernel[(((((blockIdx.x*147456) + (floordiv((threadIdx.x_2 + 9184), 288)*4608)) + cse_var_1) + (floordiv(floormod((threadIdx.x_2 + 256), 288), 3)*3)) + floormod((threadIdx.x_2 + 1), 3))]
+ }
+ for (rc.outer.inner: int32, 0, 4) {
+ for (ry.outer.inner: int32, 0, 3) {
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[(((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9))]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[(((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9))]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[(((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3))]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4608)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 81)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 9)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4617)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 162)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 18)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4626)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 243)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 27)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4635)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 324)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 36)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4644)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 405)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 45)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4653)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 486)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 54)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4662)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 567)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 63)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4671)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 1)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 1)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4609)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 82)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 10)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4618)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 163)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 19)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4627)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 244)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 28)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4636)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 325)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 37)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4645)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 406)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 46)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4654)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 487)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 55)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4663)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 568)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 64)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4672)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 2)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 3)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 4)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 5)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 6)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 7)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 8)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 2)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 8)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4610)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 83)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 84)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 85)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 86)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 87)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 88)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 89)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 11)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 89)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4619)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 164)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 165)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 166)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 167)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 168)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 169)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 20)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 170)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4628)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 245)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 246)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 247)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 248)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 249)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 250)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 29)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 251)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4637)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 326)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 327)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 328)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 329)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 330)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 331)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 38)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 332)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4646)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 407)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 408)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 409)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 410)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 411)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 412)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 47)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 413)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4655)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 488)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 489)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 490)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 491)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 492)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 493)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 56)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 494)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4664)]))
+ conv2d_nchw_1[0] = (conv2d_nchw_1[0] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[7] = (conv2d_nchw_1[7] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 569)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[1] = (conv2d_nchw_1[1] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[8] = (conv2d_nchw_1[8] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 570)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[2] = (conv2d_nchw_1[2] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[9] = (conv2d_nchw_1[9] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 571)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[3] = (conv2d_nchw_1[3] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[10] = (conv2d_nchw_1[10] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 572)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[4] = (conv2d_nchw_1[4] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[11] = (conv2d_nchw_1[11] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 573)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[5] = (conv2d_nchw_1[5] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[12] = (conv2d_nchw_1[12] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 574)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
+ conv2d_nchw_1[6] = (conv2d_nchw_1[6] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 65)]))
+ conv2d_nchw_1[13] = (conv2d_nchw_1[13] + (pad_temp.shared_1[((((rc.outer.inner*648) + (ry.outer.inner*9)) + (floormod(threadIdx.x, 7)*9)) + 575)]*kernel.shared_1[((((floordiv(threadIdx.x, 7)*288) + (rc.outer.inner*72)) + (ry.outer.inner*3)) + 4673)]))
}
}
}
}
- for (i2.inner: int32, 0, 7) {
- compute[((((blockIdx.x*392) + (floordiv(threadIdx.x, 7)*49)) + (i2.inner*7)) + floormod(threadIdx.x, 7))] = max((conv2d_nchw_1[i2.inner] + bias[((blockIdx.x*8) + floordiv(threadIdx.x, 7))]), 0f32)
+ for (i3.inner: int32, 0, 7) {
+ compute[(((blockIdx.x*1568) + (threadIdx.x*7)) + i3.inner)] = max((conv2d_nchw_1[i3.inner] + bias[((blockIdx.x*32) + floordiv(threadIdx.x, 7))]), 0f32)
+ compute[((((blockIdx.x*1568) + (threadIdx.x*7)) + i3.inner) + 784)] = max((conv2d_nchw_1[(i3.inner + 7)] + bias[(((blockIdx.x*32) + floordiv(threadIdx.x, 7)) + 16)]), 0f32)
}
}
}
@@ -837,7 +1116,7 @@ cooperative fetching, unrolling and operator fusion.</p>
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.367 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.211 ms
</pre></div>
</div>
</div>
@@ -868,34 +1147,34 @@ conv2d_nchw_nn_o_o_o_i, conv2d_nchw_nn_o_o_i = s[conv2d_nchw].split(conv2d_nchw_
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=1)
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=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=7)
+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_o_o_o, conv2d_nchw_ff_o_o_o_i = s[conv2d_nchw].split(conv2d_nchw_ff_o_o_o_i, factor=2)
+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_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_i, conv2d_nchw_xx_i = s[conv2d_nchw].split(conv2d_nchw_xx, factor=7)
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_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=4)
-conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=16)
+conv2d_nchw_rc_o_i, conv2d_nchw_rc_i = s[conv2d_nchw].split(conv2d_nchw_rc, factor=8)
+conv2d_nchw_rc_o_o, conv2d_nchw_rc_o_i = s[conv2d_nchw].split(conv2d_nchw_rc_o_i, factor=4)
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=3)
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=1)
+conv2d_nchw_rx_o_o, conv2d_nchw_rx_o_i = s[conv2d_nchw].split(conv2d_nchw_rx_o_i, factor=3)
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=1)
-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=7)
-compute_i2_o_o_i, compute_i2_o_i = s[compute].split(compute_i2_o_i, factor=1)
+compute_i1_o_o_i, compute_i1_o_i = s[compute].split(compute_i1_o_i, factor=16)
+compute_i1_o_o_o, compute_i1_o_o_i = s[compute].split(compute_i1_o_o_i, factor=2)
+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=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=1)
-compute_i3_o_o_i, compute_i3_o_i = s[compute].split(compute_i3_o_i, factor=7)
+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)
@@ -915,12 +1194,12 @@ s[compute].bind(compute_i0_o_i_i1_o_i_fused_i2_o_i_fused_i3_o_i_fused, te.thread
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=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=56)
+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)
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=2)
+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=56)
+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)
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, "unroll_explicit", True)
@@ -940,213 +1219,482 @@ CUDA source code:
#define int64_t long long
#define uint64_t unsigned long long
#endif
-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[7];
- __shared__ float pad_temp_shared[4032];
- __shared__ float kernel_shared[1536];
+extern "C" __global__ void __launch_bounds__(112) default_function_kernel0(float* __restrict__ data, float* __restrict__ kernel, float* __restrict__ compute, float* __restrict__ bias) {
+ float conv2d_nchw[14];
+ __shared__ float pad_temp_shared[2592];
+ __shared__ float kernel_shared[9216];
conv2d_nchw[0] = 0.000000e+00f;
+ conv2d_nchw[7] = 0.000000e+00f;
conv2d_nchw[1] = 0.000000e+00f;
+ conv2d_nchw[8] = 0.000000e+00f;
conv2d_nchw[2] = 0.000000e+00f;
+ conv2d_nchw[9] = 0.000000e+00f;
conv2d_nchw[3] = 0.000000e+00f;
+ conv2d_nchw[10] = 0.000000e+00f;
conv2d_nchw[4] = 0.000000e+00f;
+ conv2d_nchw[11] = 0.000000e+00f;
conv2d_nchw[5] = 0.000000e+00f;
+ conv2d_nchw[12] = 0.000000e+00f;
conv2d_nchw[6] = 0.000000e+00f;
- for (int rc_outer_outer = 0; rc_outer_outer < 8; ++rc_outer_outer) {
- for (int rx_outer_outer = 0; rx_outer_outer < 3; ++rx_outer_outer) {
- __syncthreads();
- pad_temp_shared[(((int)threadIdx.x) * 2)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) - 8)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) - 8)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 112) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 113) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 224) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 225) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 336) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 337) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 448) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 449) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 560) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 561) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 672) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 673) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 784) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 785) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 896) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 897) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 31 [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1008)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 776)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 1009)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 776)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1120) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1121) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1232) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1233) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1344) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1345) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1456) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1457) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1568) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1569) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1680) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1681) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1792) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1793) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1904) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 1905) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 2016)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 2017)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 1560)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2128) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2129) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2240) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2241) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2352) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2353) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2464) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2465) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2576) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2577) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2688) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2689) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2800) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2801) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2912) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 2913) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((int)threadIdx.x) * 2) + 3024)] = (((((7 <= ((((int)threadIdx.x) * 2) % 63)) && (((((int)threadIdx.x) * 2) % 63) < 56)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + (((((int)threadIdx.x) * 2) / 63) * 49)) + rx_outer_outer) + ((((int)threadIdx.x) * 2) % 63)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[((((int)threadIdx.x) * 2) + 3025)] = (((((7 <= (((((int)threadIdx.x) * 2) + 1) % 63)) && ((((((int)threadIdx.x) * 2) + 1) % 63) < 56)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[(((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + 1) / 63) * 49)) + rx_outer_outer) + (((((int)threadIdx.x) * 2) + 1) % 63)) + 2344)] : 0.000000e+00f);
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3136) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 7) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3137) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 7) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3248) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 5) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3249) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 5) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3360) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 3) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3361) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 3) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3472) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 1) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3473) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 1) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3584) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 8) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3585) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 8) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3696) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 6) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3697) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 6) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3808) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 4) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3809) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 4) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3920) / 63) * 63) + (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) * 7)) + ((((int)threadIdx.x) * 2) % 7))] = (((((1 <= ((((((int)threadIdx.x) * 2) / 7) + 2) % 9)) && (((((((int)threadIdx.x) * 2) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)))) && ((rx_outer_outer + ((((int)threadIdx.x) * 2) % 7)) < 8)) ? data[((((((rc_outer_outer * 3136) + ((((((int)threadIdx.x) * 2) + [...]
- pad_temp_shared[((((((((int)threadIdx.x) * 2) + 3921) / 63) * 63) + ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) * 7)) + (((((int)threadIdx.x) * 2) + 1) % 7))] = (((((1 <= (((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9)) && ((((((((int)threadIdx.x) * 2) + 1) / 7) + 2) % 9) < 8)) && (1 <= (rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)))) && ((rx_outer_outer + (((((int)threadIdx.x) * 2) + 1) % 7)) < 8)) ? data[((((((rc_outer_outer * 3 [...]
- kernel_shared[((int)threadIdx.x)] = kernel[((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 56)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 56) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 112)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 112) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 168)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 168) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) / 3) + 56) & 63) * 9)) + ((((int)threadIdx.x) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 224)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 224) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 32) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 280)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 280) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 88) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 336)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 336) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) / 3) + 48) & 63) * 9)) + ((((int)threadIdx.x) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 392)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 392) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 8) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 448)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 448) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 64) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 504)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 504) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 360)];
- kernel_shared[(((int)threadIdx.x) + 560)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 560) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 176) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 616)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 616) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 40) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 672)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 672) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 288)];
- kernel_shared[(((int)threadIdx.x) + 728)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 728) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 152) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 784)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 784) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 16) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 840)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 840) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 216)];
- kernel_shared[(((int)threadIdx.x) + 896)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 896) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 128) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 952)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 952) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 184) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1008)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1008) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 144)];
- kernel_shared[(((int)threadIdx.x) + 1064)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1064) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 104) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1120)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1120) / 192) * 4608)) + (rc_outer_outer * 576)) + ((((((int)threadIdx.x) + 160) % 192) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1176)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1176) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 72)];
- kernel_shared[(((int)threadIdx.x) + 1232)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1232) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 80) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1288)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1288) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 136) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1344)] = kernel[(((((((int)blockIdx.x) * 36864) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 32256)];
- kernel_shared[(((int)threadIdx.x) + 1400)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1400) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 56) / 3) * 9)) + (((((int)threadIdx.x) + 2) % 3) * 3)) + rx_outer_outer)];
- kernel_shared[(((int)threadIdx.x) + 1456)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1456) / 192) * 4608)) + (rc_outer_outer * 576)) + (((((int)threadIdx.x) + 112) / 3) * 9)) + (((((int)threadIdx.x) + 1) % 3) * 3)) + rx_outer_outer)];
- if (((int)threadIdx.x) < 24) {
- kernel_shared[(((int)threadIdx.x) + 1512)] = kernel[((((((((int)blockIdx.x) * 36864) + (((((int)threadIdx.x) + 1512) / 192) * 4608)) + (rc_outer_outer * 576)) + (((int)threadIdx.x) * 3)) + rx_outer_outer) + 504)];
- }
- __syncthreads();
- for (int rc_outer_inner = 0; rc_outer_inner < 16; ++rc_outer_inner) {
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((rc_outer_inner * 252) + (((int)threadIdx.x) % 7))] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 7)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[(((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12))]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 63)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 70)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 3)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 126)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 133)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 6)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 189)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 196)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 9)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 7)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 49)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 1)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 70)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 112)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 4)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 133)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 175)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 7)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 196)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 238)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 10)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 14)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 21)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 28)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 35)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 42)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 49)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 56)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 2)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 77)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 84)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 91)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 98)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 105)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 112)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 119)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 5)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 140)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 147)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 154)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 161)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 168)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 175)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 182)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 8)]));
- conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 203)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 210)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 217)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 224)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 231)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 238)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
- conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[(((rc_outer_inner * 252) + (((int)threadIdx.x) % 7)) + 245)] * kernel_shared[((((((int)threadIdx.x) / 7) * 192) + (rc_outer_inner * 12)) + 11)]));
+ conv2d_nchw[13] = 0.000000e+00f;
+ for (int rc_outer_outer = 0; rc_outer_outer < 16; ++rc_outer_outer) {
+ __syncthreads();
+ pad_temp_shared[((int)threadIdx.x)] = (((((9 <= (((int)threadIdx.x) % 81)) && ((((int)threadIdx.x) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + ((((int)threadIdx.x) / 81) * 49)) + (((((int)threadIdx.x) % 81) / 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 112)] = (((((9 <= ((((int)threadIdx.x) + 31) % 81)) && (((((int)threadIdx.x) + 31) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 112) / 81) * 49)) + ((((((int)threadIdx.x) + 31) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 224)] = (((((9 <= ((((int)threadIdx.x) + 62) % 81)) && (((((int)threadIdx.x) + 62) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 224) / 81) * 49)) + ((((((int)threadIdx.x) + 62) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 336)] = (((((9 <= ((((int)threadIdx.x) + 12) % 81)) && (((((int)threadIdx.x) + 12) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 336) / 81) * 49)) + ((((((int)threadIdx.x) + 12) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 448)] = (((((9 <= ((((int)threadIdx.x) + 43) % 81)) && (((((int)threadIdx.x) + 43) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 448) / 81) * 49)) + ((((((int)threadIdx.x) + 43) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 560)] = (((((9 <= ((((int)threadIdx.x) + 74) % 81)) && (((((int)threadIdx.x) + 74) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 560) / 81) * 49)) + ((((((int)threadIdx.x) + 74) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 672)] = (((((9 <= ((((int)threadIdx.x) + 24) % 81)) && (((((int)threadIdx.x) + 24) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 672) / 81) * 49)) + ((((((int)threadIdx.x) + 24) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 784)] = (((((9 <= ((((int)threadIdx.x) + 55) % 81)) && (((((int)threadIdx.x) + 55) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 784) / 81) * 49)) + ((((((int)threadIdx.x) + 55) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 896)] = (((((9 <= ((((int)threadIdx.x) + 5) % 81)) && (((((int)threadIdx.x) + 5) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 896) / 81) * 49)) + ((((((int)threadIdx.x) + 5) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1008)] = (((((1 <= (((((int)threadIdx.x) / 9) + 4) % 9)) && (((((int)threadIdx.x) + 36) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1008) / 81) * 49)) + ((((((int)threadIdx.x) / 9) + 4) % 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1120)] = (((((9 <= ((((int)threadIdx.x) + 67) % 81)) && (((((int)threadIdx.x) + 67) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1120) / 81) * 49)) + ((((((int)threadIdx.x) + 67) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1232)] = (((((9 <= ((((int)threadIdx.x) + 17) % 81)) && (((((int)threadIdx.x) + 17) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1232) / 81) * 49)) + ((((((int)threadIdx.x) + 17) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1344)] = (((((9 <= ((((int)threadIdx.x) + 48) % 81)) && (((((int)threadIdx.x) + 48) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1344) / 81) * 49)) + ((((((int)threadIdx.x) + 48) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1456)] = (((((9 <= ((((int)threadIdx.x) + 79) % 81)) && (((((int)threadIdx.x) + 79) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1456) / 81) * 49)) + ((((((int)threadIdx.x) + 79) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1568)] = (((((9 <= ((((int)threadIdx.x) + 29) % 81)) && (((((int)threadIdx.x) + 29) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1568) / 81) * 49)) + ((((((int)threadIdx.x) + 29) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 2) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1680)] = (((((9 <= ((((int)threadIdx.x) + 60) % 81)) && (((((int)threadIdx.x) + 60) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 6) % 9))) && (((((int)threadIdx.x) + 6) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1680) / 81) * 49)) + ((((((int)threadIdx.x) + 60) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 6) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1792)] = (((((9 <= ((((int)threadIdx.x) + 10) % 81)) && (((((int)threadIdx.x) + 10) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 1) % 9))) && (((((int)threadIdx.x) + 1) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1792) / 81) * 49)) + ((((((int)threadIdx.x) + 10) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 1) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 1904)] = (((((9 <= ((((int)threadIdx.x) + 41) % 81)) && (((((int)threadIdx.x) + 41) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 5) % 9))) && (((((int)threadIdx.x) + 5) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 1904) / 81) * 49)) + ((((((int)threadIdx.x) + 41) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 5) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2016)] = (((((1 <= (((((int)threadIdx.x) / 9) + 8) % 9)) && (((((int)threadIdx.x) + 72) % 81) < 72)) && (1 <= (((int)threadIdx.x) % 9))) && ((((int)threadIdx.x) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2016) / 81) * 49)) + ((((((int)threadIdx.x) / 9) + 8) % 9) * 7)) + (((int)threadIdx.x) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2128)] = (((((9 <= ((((int)threadIdx.x) + 22) % 81)) && (((((int)threadIdx.x) + 22) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 4) % 9))) && (((((int)threadIdx.x) + 4) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2128) / 81) * 49)) + ((((((int)threadIdx.x) + 22) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 4) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2240)] = (((((9 <= ((((int)threadIdx.x) + 53) % 81)) && (((((int)threadIdx.x) + 53) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 8) % 9))) && (((((int)threadIdx.x) + 8) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2240) / 81) * 49)) + ((((((int)threadIdx.x) + 53) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 8) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2352)] = (((((9 <= ((((int)threadIdx.x) + 3) % 81)) && (((((int)threadIdx.x) + 3) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 3) % 9))) && (((((int)threadIdx.x) + 3) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2352) / 81) * 49)) + ((((((int)threadIdx.x) + 3) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 3) % 9)) - 8)] : 0.000000e+00f);
+ pad_temp_shared[(((int)threadIdx.x) + 2464)] = (((((9 <= ((((int)threadIdx.x) + 34) % 81)) && (((((int)threadIdx.x) + 34) % 81) < 72)) && (1 <= ((((int)threadIdx.x) + 7) % 9))) && (((((int)threadIdx.x) + 7) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2464) / 81) * 49)) + ((((((int)threadIdx.x) + 34) % 81) / 9) * 7)) + ((((int)threadIdx.x) + 7) % 9)) - 8)] : 0.000000e+00f);
+ if (((int)threadIdx.x) < 16) {
+ pad_temp_shared[(((int)threadIdx.x) + 2576)] = ((((((int)threadIdx.x) < 7) && (1 <= ((((int)threadIdx.x) + 2) % 9))) && (((((int)threadIdx.x) + 2) % 9) < 8)) ? data[(((((rc_outer_outer * 1568) + (((((int)threadIdx.x) + 2576) / 81) * 49)) + (((((int)threadIdx.x) + 65) / 9) * 7)) + ((int)threadIdx.x)) - 6)] : 0.000000e+00f);
+ }
+ kernel_shared[((int)threadIdx.x)] = kernel[(((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x))];
+ kernel_shared[(((int)threadIdx.x) + 112)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 224)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 224) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 336)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 336) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 448)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 448) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 560)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 560) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 672)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 672) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 784)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 784) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 896)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 896) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1008)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1008) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 1120)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1120) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1232)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1232) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1344)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1344) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1456)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1456) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1568)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1568) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1680)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1680) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1792)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1792) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 1904)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 1904) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2016)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 32256)];
+ kernel_shared[(((int)threadIdx.x) + 2128)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2128) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2240)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2240) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2352)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2352) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 2464)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2464) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2576)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2576) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2688)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2688) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 2800)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2800) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 2912)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 2912) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3024)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3024) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 3136)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3136) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3248)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3248) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3360)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3360) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3472)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3472) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3584)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3584) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3696)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3696) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3808)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3808) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 3920)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 3920) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4032)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 64512)];
+ kernel_shared[(((int)threadIdx.x) + 4144)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4144) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4256)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4256) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4368)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4368) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 4480)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4480) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4592)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4592) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4704)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4704) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 4816)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4816) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 4928)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 4928) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5040)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5040) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 5152)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5152) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5264)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5264) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5376)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5376) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5488)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5488) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5600)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5600) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5712)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5712) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5824)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5824) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 5936)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 5936) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6048)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96768)];
+ kernel_shared[(((int)threadIdx.x) + 6160)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6160) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6272)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6272) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6384)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6384) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 6496)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6496) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6608)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6608) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6720)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6720) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 6832)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6832) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 6944)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 6944) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7056)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7056) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ kernel_shared[(((int)threadIdx.x) + 7168)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7168) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 256) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7280)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7280) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 80) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7392)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7392) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 64) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7504)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7504) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 16) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7616)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7616) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 128) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7728)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7728) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) / 3) + 80) % 96) * 3)) + (((int)threadIdx.x) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7840)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7840) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 64) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 7952)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 7952) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 176) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8064)] = kernel[((((((int)blockIdx.x) * 147456) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 129024)];
+ kernel_shared[(((int)threadIdx.x) + 8176)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8176) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 112) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8288)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8288) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 224) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8400)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8400) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 48)];
+ kernel_shared[(((int)threadIdx.x) + 8512)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8512) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 160) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8624)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8624) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 272) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8736)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8736) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 96)];
+ kernel_shared[(((int)threadIdx.x) + 8848)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8848) / 288) * 4608)) + (rc_outer_outer * 288)) + ((((((int)threadIdx.x) + 208) % 288) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 8960)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 8960) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 32) / 3) * 3)) + ((((int)threadIdx.x) + 2) % 3))];
+ kernel_shared[(((int)threadIdx.x) + 9072)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 9072) / 288) * 4608)) + (rc_outer_outer * 288)) + ((int)threadIdx.x)) + 144)];
+ if (((int)threadIdx.x) < 32) {
+ kernel_shared[(((int)threadIdx.x) + 9184)] = kernel[(((((((int)blockIdx.x) * 147456) + (((((int)threadIdx.x) + 9184) / 288) * 4608)) + (rc_outer_outer * 288)) + (((((int)threadIdx.x) + 256) / 3) * 3)) + ((((int)threadIdx.x) + 1) % 3))];
+ }
+ __syncthreads();
+ for (int rc_outer_inner = 0; rc_outer_inner < 4; ++rc_outer_inner) {
+ for (int ry_outer_inner = 0; ry_outer_inner < 3; ++ry_outer_inner) {
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[(((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9))] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[(((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9))] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3))]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4608)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 81)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 9)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4617)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 162)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 18)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4626)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 243)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 27)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4635)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 324)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 36)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4644)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 405)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 45)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4653)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 486)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 54)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4662)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 567)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 63)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4671)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 1)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 1)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4609)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 82)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 10)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4618)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 163)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 19)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4627)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 244)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 28)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4636)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 325)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 37)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4645)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 406)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 46)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4654)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 487)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 55)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4663)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 568)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 64)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4672)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 2)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 3)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 4)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 5)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 6)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 7)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 8)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 2)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 8)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4610)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 83)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 84)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 85)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 86)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 87)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 88)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 89)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 11)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 89)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4619)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 164)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 165)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 166)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 167)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 168)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 169)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 20)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 170)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4628)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 245)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 246)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 247)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 248)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 249)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 250)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 29)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 251)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4637)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 326)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 327)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 328)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 329)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 330)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 331)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 38)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 332)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4646)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 407)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 408)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 409)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 410)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 411)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 412)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 47)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 413)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4655)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 488)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 489)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 490)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 491)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 492)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 493)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 56)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 494)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4664)]));
+ conv2d_nchw[0] = (conv2d_nchw[0] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[7] = (conv2d_nchw[7] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 569)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[1] = (conv2d_nchw[1] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[8] = (conv2d_nchw[8] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 570)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[2] = (conv2d_nchw[2] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[9] = (conv2d_nchw[9] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 571)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[3] = (conv2d_nchw[3] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[10] = (conv2d_nchw[10] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 572)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[4] = (conv2d_nchw[4] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[11] = (conv2d_nchw[11] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 573)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[5] = (conv2d_nchw[5] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[12] = (conv2d_nchw[12] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 574)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
+ conv2d_nchw[6] = (conv2d_nchw[6] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 65)]));
+ conv2d_nchw[13] = (conv2d_nchw[13] + (pad_temp_shared[((((rc_outer_inner * 648) + (ry_outer_inner * 9)) + ((((int)threadIdx.x) % 7) * 9)) + 575)] * kernel_shared[(((((((int)threadIdx.x) / 7) * 288) + (rc_outer_inner * 72)) + (ry_outer_inner * 3)) + 4673)]));
}
}
}
- for (int i2_inner = 0; i2_inner < 7; ++i2_inner) {
- compute[((((((int)blockIdx.x) * 392) + ((((int)threadIdx.x) / 7) * 49)) + (i2_inner * 7)) + (((int)threadIdx.x) % 7))] = max((conv2d_nchw[i2_inner] + bias[((((int)blockIdx.x) * 8) + (((int)threadIdx.x) / 7))]), 0.000000e+00f);
+ for (int i3_inner = 0; i3_inner < 7; ++i3_inner) {
+ compute[(((((int)blockIdx.x) * 1568) + (((int)threadIdx.x) * 7)) + i3_inner)] = max((conv2d_nchw[i3_inner] + bias[((((int)blockIdx.x) * 32) + (((int)threadIdx.x) / 7))]), 0.000000e+00f);
+ compute[((((((int)blockIdx.x) * 1568) + (((int)threadIdx.x) * 7)) + i3_inner) + 784)] = max((conv2d_nchw[(i3_inner + 7)] + bias[(((((int)blockIdx.x) * 32) + (((int)threadIdx.x) / 7)) + 16)]), 0.000000e+00f);
}
}
</pre></div>
@@ -1183,7 +1731,7 @@ In the example below we resume the status and do more 5 trials.</p>
Get devices for measurement successfully!
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 21.096 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 39.142 seconds)</p>
<div class="sphx-glr-footer 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 sphx-glr-download-python 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 c2221ed890..192c236666 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -902,7 +902,7 @@ 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)
- 8.1540 8.1555 8.1560 8.1506 0.0024
+ 8.2080 8.2087 8.2140 8.2013 0.0052
</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 da7b53a5c2..9ab427bf9f 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -921,7 +921,7 @@ 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)
- 755.7181 756.6768 756.7382 753.7392 1.3995
+ 755.3870 755.7548 755.7872 754.6190 0.5432
</pre></div>
</div>
</div>
@@ -943,7 +943,7 @@ 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 22.136 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 23.975 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-x86-py">
<div class="sphx-glr-download sphx-glr-download-python 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 5de2a15c1f..14ab70dd02 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
@@ -625,15 +625,15 @@ 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_6: placeholder_15: Buffer(placeholder_11, float32, [4916, 16, 1], []), placeholder_7: placeholder_16: Buffer(placeholder_12, int32, [4916], []), placeholder_8: placeholder_17: Buffer(placeholder_13, int32, [33], []), placeholder_5: placeholder_18: Buffer(placeholder_10, float32, [128, 256], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_9: placeholder_19: Buffer(placeholder_14, float32, [128, 512], [])} {
- for (i0.outer.i1.outer.fused: int32, 0, 16) "parallel" {
- allocate(compute_4: Pointer(global float32), float32, [4096]), storage_scope = global {
- for (i.outer.inner: int32, 0, 8) {
+ preflattened_buffer_map = {placeholder_5: placeholder_15: Buffer(placeholder_10, float32, [128, 256], []), placeholder_6: placeholder_16: Buffer(placeholder_11, float32, [4916, 16, 1], []), placeholder_8: placeholder_17: Buffer(placeholder_13, int32, [33], []), compute_1: compute_3: Buffer(compute_2, float32, [128, 512], []), placeholder_9: placeholder_18: Buffer(placeholder_14, float32, [128, 512], []), placeholder_7: placeholder_19: Buffer(placeholder_12, int32, [4916], [])} {
+ 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, 2) {
for (nb_j.inner: int32, 0, 2) {
for (i.inner.init: int32, 0, 16) {
let cse_var_1: int32 = (((i.outer.inner*512) + (i.inner.init*32)) + (nb_j.inner*16))
{
- compute_5: Buffer(compute_4, float32, [4096], [])[cse_var_1] = 0f32
+ compute_5: Buffer(compute_4, float32, [1024], [])[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
@@ -651,51 +651,51 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
compute_5[(cse_var_1 + 15)] = 0f32
}
}
- for (elem_idx: int32, 0, let cse_var_2: int32 = ((i0.outer.i1.outer.fused*2) + nb_j.inner) in (placeholder_3[(cse_var_2 + 1)] - placeholder_3[cse_var_2])) {
+ for (elem_idx: int32, 0, let cse_var_2: int32 = ((floormod(i0.outer.i1.outer.fused, 16)*2) + nb_j.inner) in (placeholder_3[(cse_var_2 + 1)] - placeholder_3[cse_var_2])) {
for (i.inner: int32, 0, 16) {
let cse_var_21: int32 = (elem_idx*16)
- let cse_var_20: int32 = ((i0.outer.i1.outer.fused*2) + nb_j.inner)
- let cse_var_19: int32 = ((i.outer.inner*4096) + (i.inner*256))
- let cse_var_18: int32 = (((i.outer.inner*512) + (i.inner*32)) + (nb_j.inner*16))
- let cse_var_17: int32 = (cse_var_18 + 9)
- let cse_var_16: int32 = (cse_var_18 + 8)
- let cse_var_15: int32 = (cse_var_18 + 7)
- let cse_var_14: int32 = (cse_var_18 + 6)
- let cse_var_13: int32 = (cse_var_18 + 5)
- let cse_var_12: int32 = (cse_var_18 + 4)
- let cse_var_11: int32 = (cse_var_18 + 3)
- let cse_var_10: int32 = (cse_var_18 + 2)
- let cse_var_9: int32 = (cse_var_18 + 15)
- let cse_var_8: int32 = (cse_var_18 + 14)
- let cse_var_7: int32 = (cse_var_18 + 13)
- let cse_var_6: int32 = (cse_var_18 + 12)
- let cse_var_5: int32 = (cse_var_18 + 11)
- let cse_var_4: int32 = (cse_var_18 + 10)
- let cse_var_3: int32 = (cse_var_18 + 1)
+ let cse_var_20: int32 = ((floormod(i0.outer.i1.outer.fused, 16)*2) + nb_j.inner)
+ let cse_var_19: int32 = (((i.outer.inner*512) + (i.inner*32)) + (nb_j.inner*16))
+ let cse_var_18: int32 = (((floordiv(i0.outer.i1.outer.fused, 16)*8192) + (i.outer.inner*4096)) + (i.inner*256))
+ let cse_var_17: int32 = (cse_var_19 + 9)
+ let cse_var_16: int32 = (cse_var_19 + 8)
+ let cse_var_15: int32 = (cse_var_19 + 7)
+ let cse_var_14: int32 = (cse_var_19 + 6)
+ let cse_var_13: int32 = (cse_var_19 + 5)
+ let cse_var_12: int32 = (cse_var_19 + 4)
+ let cse_var_11: int32 = (cse_var_19 + 3)
+ let cse_var_10: int32 = (cse_var_19 + 2)
+ let cse_var_9: int32 = (cse_var_19 + 15)
+ let cse_var_8: int32 = (cse_var_19 + 14)
+ let cse_var_7: int32 = (cse_var_19 + 13)
+ let cse_var_6: int32 = (cse_var_19 + 12)
+ let cse_var_5: int32 = (cse_var_19 + 11)
+ let cse_var_4: int32 = (cse_var_19 + 10)
+ let cse_var_3: int32 = (cse_var_19 + 1)
{
- compute_5[cse_var_18] = (compute_5[cse_var_18] + (placeholder_1[((placeholder_3[cse_var_20]*16) + cse_var_21)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 1)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 2)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 3)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 4)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 5)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 6)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 7)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 8)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_17] = (compute_5[cse_var_17] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 9)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 10)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 11)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 12)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 13)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 14)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
- compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 15)]*max(placeholder[(cse_var_19 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_19] = (compute_5[cse_var_19] + (placeholder_1[((placeholder_3[cse_var_20]*16) + cse_var_21)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_3] = (compute_5[cse_var_3] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 1)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_10] = (compute_5[cse_var_10] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 2)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_11] = (compute_5[cse_var_11] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 3)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_12] = (compute_5[cse_var_12] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 4)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_13] = (compute_5[cse_var_13] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 5)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_14] = (compute_5[cse_var_14] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 6)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_15] = (compute_5[cse_var_15] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 7)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_16] = (compute_5[cse_var_16] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 8)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_17] = (compute_5[cse_var_17] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 9)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_4] = (compute_5[cse_var_4] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 10)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_5] = (compute_5[cse_var_5] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 11)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_6] = (compute_5[cse_var_6] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 12)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_7] = (compute_5[cse_var_7] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 13)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_8] = (compute_5[cse_var_8] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 14)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
+ compute_5[cse_var_9] = (compute_5[cse_var_9] + (placeholder_1[(((placeholder_3[cse_var_20]*16) + cse_var_21) + 15)]*max(placeholder[(cse_var_18 + placeholder_2[(placeholder_3[cse_var_20] + elem_idx)])], 0f32)))
}
}
}
}
}
- for (i0.inner: int32, 0, 128) {
- let cse_var_22: int32 = ((i0.inner*512) + (i0.outer.i1.outer.fused*32))
+ for (i0.inner: int32, 0, 32) {
+ let cse_var_22: int32 = (((floordiv(i0.outer.i1.outer.fused, 16)*16384) + (i0.inner*512)) + (floormod(i0.outer.i1.outer.fused, 16)*32))
compute[ramp(cse_var_22, 1, 32)] = max((compute_5[ramp((i0.inner*32), 1, 32)] + placeholder_4[ramp(cse_var_22, 1, 32)]), broadcast(0f32, 32))
}
}
@@ -734,7 +734,7 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 1.722 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 1.723 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 3b5cb2d03b..742491bb85 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>00:29.562</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:44.439</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -336,22 +336,22 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:29.526</p></td>
+<td><p>00:44.407</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:00.020</p></td>
+<td><p>00:00.017</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><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></td>
+<tr class="row-even"><td><p><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></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><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></td>
+<tr class="row-odd"><td><p><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></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
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 bebceac807..6bc9493932 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -557,9 +557,7 @@ for this template</p>
waiting for device...
device available
Get devices for measurement successfully!
-No: 1 GFLOPS: 24.13/24.13 result: MeasureResult(costs=(0.009593230454545455,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.932642698287964, timestamp=1663882327.1766) [('tile_f', [-1, 4, 4, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8593881
-No: 2 GFLOPS: 83.93/83.93 result: MeasureResult(costs=(0.0027582268448275863,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.507809638977051, timestamp=1663882328.0813944) [('tile_f', [-1, 16, 16, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,8717369
-No: 3 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+No: 1 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -681,8 +679,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 256, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10132656
-No: 4 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 16, 32]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 64, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2605219
+No: 2 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -804,8 +802,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 128, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6414062
-No: 5 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 4, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2579300
+No: 3 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -927,8 +925,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 2, 64]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10384866
-No: 6 GFLOPS: 0.00/83.93 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 64, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,253407
+No: 4 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1050,9 +1048,12 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 8, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 32]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8280956
-No: 7 GFLOPS: 91.25/91.25 result: MeasureResult(costs=(0.002536887925,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1385846138000488, timestamp=1663882331.5116751) [('tile_f', [-1, 2, 64, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6074686
-No: 8 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 2, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1954905
+No: 5 GFLOPS: 38.65/38.65 result: MeasureResult(costs=(0.005988956176470587,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9622642993927002, timestamp=1663881850.7868724) [('tile_f', [-1, 2, 4, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4656373
+No: 6 GFLOPS: 292.30/292.30 result: MeasureResult(costs=(0.0007919921089108911,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.625307321548462, timestamp=1663881852.4046834) [('tile_f', [-1, 1, 32, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9105230
+No: 7 GFLOPS: 7.32/292.30 result: MeasureResult(costs=(0.03163999175,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.1665596961975098, timestamp=1663881853.162902) [('tile_f', [-1, 8, 1, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3773579
+No: 8 GFLOPS: 7.43/292.30 result: MeasureResult(costs=(0.03114179975,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.846660375595093, timestamp=1663881853.886637) [('tile_f', [-1, 4, 1, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 32]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10014677
+No: 9 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1174,8 +1175,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8309381
-No: 9 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 4, 128]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9044635
+No: 10 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1297,8 +1298,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 64, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1185556
-No: 10 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 16, 16]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9421903
+No: 11 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1420,8 +1421,11 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 8, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4361239
-No: 11 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 4, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 128, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9126997
+No: 12 GFLOPS: 36.14/292.30 result: MeasureResult(costs=(0.0064053940625,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.447760105133057, timestamp=1663881858.5453136) [('tile_f', [-1, 1, 4, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7132859
+No: 13 GFLOPS: 2.32/292.30 result: MeasureResult(costs=(0.09999968699999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.6343746185302734, timestamp=1663881862.877983) [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,3338026
+No: 14 GFLOPS: 3.56/292.30 result: MeasureResult(costs=(0.0650461195,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.57374906539917, timestamp=1663881864.0567393) [('tile_f', [-1, 8, 1, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 32, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7247738
+No: 15 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1543,8 +1547,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 2, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9862111
-No: 12 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 8, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4251241
+No: 16 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1666,10 +1670,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 16, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,875069
-No: 13 GFLOPS: 34.82/91.25 result: MeasureResult(costs=(0.00664771,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.352648973464966, timestamp=1663882335.246479) [('tile_f', [-1, 1, 8, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1862937
-No: 14 GFLOPS: 0.98/91.25 result: MeasureResult(costs=(0.23562669349999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.185566663742065, timestamp=1663882338.6236575) [('tile_f', [-1, 256, 2, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,260498
-No: 15 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 64, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1065335
+No: 17 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1791,8 +1793,8 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 16]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5792986
-No: 16 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 64]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9976982
+No: 18 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -1914,8 +1916,9 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 32, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 32, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,474802
-No: 17 GFLOPS: 0.00/91.25 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 2, 16]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9886974
+No: 19 GFLOPS: 7.11/292.30 result: MeasureResult(costs=(0.03257743825,), error_no=MeasureErrorNo.NO_ERROR, all_cost=6.399919748306274, timestamp=1663881870.6917906) [('tile_f', [-1, 1, 1, 128]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9294990
+No: 20 GFLOPS: 0.00/292.30 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
@@ -2037,254 +2040,7 @@ Traceback (most recent call last):
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 32, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7673692
-No: 18 GFLOPS: 1204.15/1204.15 result: MeasureResult(costs=(0.0001922534928741093,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.188037395477295, timestamp=1663882340.0105078) [('tile_f', [-1, 1, 8, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1947959
-No: 19 GFLOPS: 0.00/1204.15 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
- func = build(s, args, target_host=task.target_host, runtime=runtime)
- File "/workspace/python/tvm/driver/build_module.py", line 227, in build
- input_mod = lower(inputs, args, name=name, binds=binds)
- File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
- return ffi.lower_schedule(inp, args, name, binds, simple_mode)
- File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
- File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
- File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
-tvm._ffi.base.TVMError: Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
-
-Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,130215
-No: 20 GFLOPS: 0.00/1204.15 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
- func = build(s, args, target_host=task.target_host, runtime=runtime)
- File "/workspace/python/tvm/driver/build_module.py", line 227, in build
- input_mod = lower(inputs, args, name=name, binds=binds)
- File "/workspace/python/tvm/driver/build_module.py", line 134, in lower
- return ffi.lower_schedule(inp, args, name, binds, simple_mode)
- File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in tvm._ffi._cy3.core.PackedFuncBase.__call__
- File "tvm/_ffi/_cython/./packed_func.pxi", line 276, in tvm._ffi._cy3.core.FuncCall
- File "tvm/_ffi/_cython/./base.pxi", line 181, in tvm._ffi._cy3.core.CHECK_CALL
-tvm._ffi.base.TVMError: Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
-
-Traceback (most recent call last):
- 24: TVMFuncCall
- at ../src/runtime/c_runtime_api.cc:477
- 23: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 22: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 21: operator()
- at ../include/tvm/runtime/packed_func.h:1731
- 20: unpack_call<tvm::IRModule, 5, tvm::<lambda(tvm::te::Schedule, const tvm::runtime::Array<tvm::runtime::ObjectRef>&, const tvm::runtime::String&, const tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer>&, bool)> >
- at ../include/tvm/runtime/packed_func.h:1671
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1631
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1631
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1646
- 13: operator()
- at ../src/driver/driver_api.cc:379
- 12: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
- at ../src/driver/driver_api.cc:365
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:260
- 10: tvm::transform::Pass::operator()(tvm::IRModule) const
- at ../src/ir/transform.cc:258
- 9: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 8: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:453
- 7: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/ir/transform.cc:274
- 6: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
- at ../src/tir/ir/transform.cc:100
- 5: tvm::runtime::TypedPackedFunc<tvm::tir::PrimFunc (tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext)>::operator()(tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext) const
- at ../include/tvm/runtime/packed_func.h:1750
- 4: tvm::tir::PrimFunc tvm::runtime::detail::typed_packed_call_dispatcher<tvm::tir::PrimFunc>::run<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&)
- at ../include/tvm/runtime/packed_func.h:1694
- 3: tvm::runtime::TVMRetValue tvm::runtime::PackedFunc::operator()<tvm::tir::PrimFunc, tvm::IRModule, tvm::transform::PassContext>(tvm::tir::PrimFunc&&, tvm::IRModule&&, tvm::transform::PassContext&&) const
- at ../include/tvm/runtime/packed_func.h:1618
- 2: tvm::runtime::PackedFuncObj::CallPacked(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
- at ../include/tvm/runtime/packed_func.h:1217
- 1: Call
- at ../include/tvm/runtime/packed_func.h:1213
- 0: operator()
- at ../src/runtime/c_runtime_api.cc:534
- File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 871, 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, 1, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5929408
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 64, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8608724
</pre></div>
</div>
<p>Finally we can inspect the best config from log file, check correctness,
@@ -2323,9 +2079,9 @@ and measure running time.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Finish loading 20 records
Best config:
-[('tile_f', [-1, 1, 8, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 8, 1]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1947959
+[('tile_f', [-1, 1, 32, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9105230
Finish loading 20 records
-Time cost of this operator: 0.000484
+Time cost of this operator: 0.001175
</pre></div>
</div>
<div class="sphx-glr-footer 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 6df0eb15c8..a931c44710 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -582,10 +582,10 @@ 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 Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 310.4 98.714 (1, 2, 10, 10, 3) 2 1 [310.4]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.086 0.981 (1, 6, 10, 10) 1 1 [3.086]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.958 0.305 (1, 1, 10, 10, 3) 1 1 [0.958]
-Total_time - 314.444 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 314.1 98.751 (1, 2, 10, 10, 3) 2 1 [314.1]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.015 0.948 (1, 6, 10, 10) 1 1 [3.015]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.957 0.301 (1, 1, 10, 10, 3) 1 1 [0.957]
+Total_time - 318.072 - - - - -
</pre></div>
</div>
</div>
@@ -636,10 +636,10 @@ 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 Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 181.3 98.431 (1, 1, 10, 10, 6) 2 1 [181.3]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.93 1.048 (1, 6, 10, 10) 1 1 [1.93]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.96 0.521 (1, 1, 10, 10, 3) 1 1 [0.96]
-Total_time - 184.189 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 103.6 97.532 (1, 6, 10, 10, 1) 2 1 [103.6]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.775 1.671 (1, 6, 10, 10) 1 1 [1.775]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.847 0.797 (1, 3, 10, 10, 1) 1 1 [0.847]
+Total_time - 106.222 - - - - -
</pre></div>
</div>
<div class="sphx-glr-footer 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/micro_train.html b/docs/how_to/work_with_microtvm/micro_train.html
index 251d0e0792..b4caacd876 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -516,7 +516,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
<a href="https://docs.python.org/3/library/shutil.html#shutil.move" title="shutil.move" class="sphx-glr-backref-module-shutil sphx-glr-backref-type-py-function"><span class="n">shutil</span><span class="o">.</span><span class="n">move</span></a><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-typ [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmp64nz5xxv/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmps3pw2o_6/images/random'
</pre></div>
</div>
</div>
@@ -576,8 +576,8 @@ objects to other stuff? We can display some examples from our datasets using <co
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmp64nz5xxv/images/target contains 8144 images
-/tmp/tmp64nz5xxv/images/random contains 5000 images
+<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[1.0, 0.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmps3pw2o_6/images/target contains 8144 images
+/tmp/tmps3pw2o_6/images/random contains 5000 images
</pre></div>
</div>
</div>
@@ -689,13 +689,13 @@ the time on our validation set).</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Epoch 1/3
-328/328 - 47s - loss: 0.2080 - accuracy: 0.9267 - val_loss: 0.1079 - val_accuracy: 0.9619 - 47s/epoch - 142ms/step
+328/328 - 47s - loss: 0.2200 - accuracy: 0.9247 - val_loss: 0.1153 - val_accuracy: 0.9577 - 47s/epoch - 145ms/step
Epoch 2/3
-328/328 - 43s - loss: 0.0903 - accuracy: 0.9685 - val_loss: 0.0994 - val_accuracy: 0.9687 - 43s/epoch - 132ms/step
+328/328 - 44s - loss: 0.0974 - accuracy: 0.9624 - val_loss: 0.0948 - val_accuracy: 0.9690 - 44s/epoch - 133ms/step
Epoch 3/3
-328/328 - 43s - loss: 0.0624 - accuracy: 0.9774 - val_loss: 0.0998 - val_accuracy: 0.9619 - 43s/epoch - 131ms/step
+328/328 - 43s - loss: 0.0737 - accuracy: 0.9708 - val_loss: 0.1141 - val_accuracy: 0.9581 - 43s/epoch - 132ms/step
-<keras.callbacks.History object at 0x7f340b3e67d0>
+<keras.callbacks.History object at 0x7fa3a2bcfb10>
</pre></div>
</div>
</div>
@@ -957,7 +957,7 @@ as intended.</p>
<p>From here, we could modify the model to read live images from the camera - we have another
Arduino tutorial for how to do that <a class="reference external" href="https://github.com/guberti/tvm-arduino-demos/tree/master/examples/person_detection">on GitHub</a>. Alternatively, we could also
<a class="reference external" href="https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html">use TVM’s autotuning capabilities</a> to dramatically improve the model’s performance.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes 28.626 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes 35.835 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/b52cec46baf4f78d6bcd94cbe269c8a6/micro_train.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">micro_train.py</span></code></a></p>
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 84a42e1869..c45b12c17b 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>05:20.845</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>05:31.078</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -336,19 +336,19 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_train.py</span></code>)</p></td>
-<td><p>04:28.626</p></td>
+<td><p>04:35.835</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:41.541</p></td>
+<td><p>00:43.244</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">microTVM Host-Driven AoT</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_aot.py</span></code>)</p></td>
-<td><p>00:07.415</p></td>
+<td><p>00:08.490</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:03.261</p></td>
+<td><p>00:03.507</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
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 38f718feb1..848ea780ba 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>00:42.533</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:44.111</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -336,15 +336,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="using_pipeline_executor.html#sphx-glr-how-to-work-with-relay-using-pipeline-executor-py"><span class="std std-ref">Using Pipeline Executor in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_pipeline_executor.py</span></code>)</p></td>
-<td><p>00:31.214</p></td>
+<td><p>00:32.236</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:09.844</p></td>
+<td><p>00:10.117</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:01.469</p></td>
+<td><p>00:01.751</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 82e14a3442..c3182b831a 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -522,7 +522,7 @@ The following example customizes CUDA lowering rule for <code class="code docuti
<a href="../../reference/api/python/ir.html#tvm.ir.register_intrin_lowering" title="tvm.ir.register_intrin_lowering" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-function"><span class="n">register_intrin_lowering</span></a><span class="p">(</span><span class="s2">"tir.exp"</span><span class="p">,</span> <span class="n">target</span><span class="o">=</span><span class="s2">"cuda"</span><span class="p">,</span> <span class="n">f</span><span class="o">= [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7f33abc0d950>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7fa33e0a5e60>
</pre></div>
</div>
<p>Register the rule to TVM with override option to override existing rule.
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 dfa5211aa2..238ff82a6f 100644
--- a/docs/how_to/work_with_schedules/sg_execution_times.html
+++ b/docs/how_to/work_with_schedules/sg_execution_times.html
@@ -327,7 +327,7 @@
<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>00:07.564</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:07.831</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -336,19 +336,19 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:05.338</p></td>
+<td><p>00:05.523</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:00.990</p></td>
+<td><p>00:01.041</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
-<td><p>00:00.539</p></td>
+<td><p>00:00.554</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><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></td>
-<td><p>00:00.518</p></td>
+<td><p>00:00.534</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><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></td>
diff --git a/docs/how_to/work_with_schedules/tensorize.html b/docs/how_to/work_with_schedules/tensorize.html
index c7624482e6..0d433900bb 100644
--- a/docs/how_to/work_with_schedules/tensorize.html
+++ b/docs/how_to/work_with_schedules/tensorize.html
@@ -577,7 +577,7 @@ 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/tmpnpp5qs6m/input0.cc'\nsource_filename = \"/tmp/tmpnpp5qs6m/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/tmpv0nyr_rg/input0.cc'\nsource_filename = \"/tmp/tmpv0nyr_rg/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) {
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diff --git a/docs/install/nnpack.html b/docs/install/nnpack.html
index 3153785d75..aa2238b85b 100644
--- a/docs/install/nnpack.html
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<p class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
<ul class="current">
<li class="toctree-l1 current"><a class="reference internal" href="index.html">Installing TVM</a><ul class="current">
-<li class="toctree-l2"><a class="reference internal" href="from_source.html">Install from Source</a></li>
+<li class="toctree-l2 current"><a class="reference internal" href="from_source.html">Install from Source</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="from_source.html#developers-get-source-from-github">Developers: Get Source from Github</a></li>
+<li class="toctree-l3"><a class="reference internal" href="from_source.html#build-the-shared-library">Build the Shared Library</a></li>
+<li class="toctree-l3"><a class="reference internal" href="from_source.html#python-package-installation">Python Package Installation</a></li>
+<li class="toctree-l3 current"><a class="reference internal" href="from_source.html#install-contrib-libraries">Install Contrib Libraries</a><ul class="current">
+<li class="toctree-l4 current"><a class="current reference internal" href="#">NNPACK Contrib Installation</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="from_source.html#enable-c-tests">Enable C++ Tests</a></li>
+</ul>
+</li>
<li class="toctree-l2"><a class="reference internal" href="docker.html">Docker Images</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">NNPACK Contrib Installation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#conditions">Conditions</a></li>
diff --git a/docs/objects.inv b/docs/objects.inv
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diff --git a/docs/reference/api/doxygen/analyzer_8h.html b/docs/reference/api/doxygen/analyzer_8h.html
index 891197cf9a..7fb675f2a4 100644
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</div>
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