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Posted to commits@tvm.apache.org by tq...@apache.org on 2023/01/23 23:07:32 UTC
[tvm-site] branch asf-site updated: deploying docs (apache/tvm@1bc6dd40c2251e632a3ce4e68b9180978aca4ac4)
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 5886a0257d deploying docs (apache/tvm@1bc6dd40c2251e632a3ce4e68b9180978aca4ac4)
5886a0257d is described below
commit 5886a0257d52ac08737ce3e3e9ae5167284d4f88
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Mon Jan 23 23:07:26 2023 +0000
deploying docs (apache/tvm@1bc6dd40c2251e632a3ce4e68b9180978aca4ac4)
---
docs/_images/sphx_glr_micro_train_001.png | Bin 330120 -> 298784 bytes
docs/_images/sphx_glr_micro_train_thumb.png | Bin 23754 -> 22856 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 +-
.../deploy_models/deploy_model_on_adreno.rst.txt | 2 +-
.../deploy_models/deploy_model_on_android.rst.txt | 2 +-
.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 4 +-
.../how_to/deploy_models/deploy_quantized.rst.txt | 2 +-
.../deploy_models/deploy_ssd_gluoncv.rst.txt | 4 +-
.../deploy_models/sg_execution_times.rst.txt | 20 +-
.../extend_tvm/bring_your_own_datatypes.rst.txt | 2 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 8 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 14 +-
.../tune_conv2d_layer_cuda.rst.txt | 4 +-
.../tune_network_cuda.rst.txt | 4 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_sparse_x86.rst.txt | 78 +-
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.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 432 +-------
.../work_with_microtvm/micro_autotune.rst.txt | 16 +-
.../work_with_microtvm/micro_pytorch.rst.txt | 4 +-
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.../work_with_schedules/sg_execution_times.rst.txt | 16 +-
.../how_to/work_with_schedules/tensorize.rst.txt | 2 +-
.../tutorials/autotvm/sg_execution_times.rst.txt | 6 +-
.../frontend/deploy_classification.rst.txt | 2 +-
.../tutorials/frontend/deploy_detection.rst.txt | 2 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 6 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
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.../tutorial/auto_scheduler_matmul_x86.rst.txt | 6 +-
docs/_sources/tutorial/autotvm_matmul_x86.rst.txt | 20 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 60 +-
.../tutorial/cross_compilation_and_rpc.rst.txt | 2 +-
docs/_sources/tutorial/intro_topi.rst.txt | 2 +-
docs/_sources/tutorial/sg_execution_times.rst.txt | 22 +-
.../tutorial/tensor_expr_get_started.rst.txt | 51 +-
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docs/how_to/compile_models/from_mxnet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 12 +-
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174 files changed, 3348 insertions(+), 4133 deletions(-)
diff --git a/docs/_images/sphx_glr_micro_train_001.png b/docs/_images/sphx_glr_micro_train_001.png
index 749f250b96..fb3c2850a3 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 eb961b1b9c..86defffe09 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 50f453a366..5e8bd8bab7 100644
--- a/docs/_sources/how_to/compile_models/from_darknet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_darknet.rst.txt
@@ -318,7 +318,7 @@ The process is no different from other examples.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 13.230 seconds)
+ **Total running time of the script:** ( 1 minutes 12.447 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 4f562b994c..f37d684f25 100644
--- a/docs/_sources/how_to/compile_models/from_keras.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_keras.rst.txt
@@ -232,7 +232,7 @@ 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 915ms/step
+
1/1 [==============================] - ETA: 0s
1/1 [==============================] - 1s 959ms/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 b1b97e7966..822884a8f4 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -116,7 +116,7 @@ In this section, we download a pretrained imagenet model and classify an image.
.. code-block:: none
- Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip838bbabd-0180-4f1a-a0aa-060ee27c0473 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+ Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip9b5cc5f4-91fb-4fde-8880-c79b857dba2c 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 e4510d71f6..bd35ddba02 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ 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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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 cc0086e1e2..075e7b1f97 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
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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36%|###5 | 16.0M/44.7M [00:00<00:00, 79.2MB/s]
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diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index 18bcc7acbe..db9e8c4109 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -424,7 +424,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 18.529 seconds)
+ **Total running time of the script:** ( 1 minutes 18.466 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 fd2f77925f..ccec9210df 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
=================
-**06:07.082** total execution time for **how_to_compile_models** files:
+**06:07.243** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:18.529 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:18.466 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:13.230 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:12.447 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:49.618 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:50.613 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:34.329 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:34.331 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:29.898 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:29.690 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:29.085 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:29.100 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:26.684 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:26.481 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:24.003 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:24.134 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:19.168 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:19.446 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.537 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.534 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
index 0075ddb74f..bd89d1fa91 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
@@ -727,7 +727,7 @@ well as provides information about the model's performance
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 2644.1373 2642.7018 2651.1663 2641.1535 3.1790
+ 2545.2906 2544.8195 2549.4633 2544.1715 1.4478
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 04dba59e63..2cc529b0a7 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
@@ -437,7 +437,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 14.5138 14.3758 15.1060 14.1449 0.3479
+ 15.9776 15.7680 16.6149 15.5034 0.4585
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 a6de6eed06..f189c9d056 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
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-
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+
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/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torch/nn/functional.py:3897: 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)
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:124: 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').
@@ -299,7 +299,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 14.844 seconds)
+ **Total running time of the script:** ( 3 minutes 19.710 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 2bdfb6181d..7904fc8759 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -227,7 +227,7 @@ training. Other models require a full post training calibration.
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
-
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59%|#####8 | 7.99M/13.6M [00:00<00:00, 48.8MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 66.4MB/s]
+
0%| | 0.00/13.6M [00:00<?, ?B/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 145MB/s]
@@ -409,7 +409,7 @@ 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)
- 87.8299 87.7591 90.9274 87.4078 0.4231
+ 90.1042 90.0770 90.8171 89.8795 0.1535
@@ -458,7 +458,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 9.809 seconds)
+ **Total running time of the script:** ( 1 minutes 11.129 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 e7a3f1ca21..e781f35ef6 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
@@ -423,7 +423,7 @@ 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)
- 115.8371 115.6378 119.7660 114.7599 0.7118
+ 118.1637 118.1807 120.2154 116.4329 0.7943
@@ -460,7 +460,7 @@ 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:** ( 2 minutes 27.167 seconds)
+ **Total running time of the script:** ( 2 minutes 31.432 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 5b78a41b33..d72c253c2d 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -257,7 +257,7 @@ We create a Relay VM to build and execute the model.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 34.467 seconds)
+ **Total running time of the script:** ( 1 minutes 18.289 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 285b61fc19..c35b24d75d 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
@@ -170,7 +170,7 @@ 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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+
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@@ -246,7 +246,7 @@ Display result
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 21.774 seconds)
+ **Total running time of the script:** ( 3 minutes 25.327 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 2b0dea55c6..8af5c53cc9 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
@@ -5,26 +5,26 @@
Computation times
=================
-**14:12.861** total execution time for **how_to_deploy_models** files:
+**14:11.486** total execution time for **how_to_deploy_models** files:
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``) | 03:21.774 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_ssd_gluoncv.py` (``deploy_ssd_gluoncv.py``) | 03:25.327 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:14.844 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:19.710 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 02:27.167 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 02:31.432 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:34.467 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:18.289 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:09.809 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:11.129 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 00:53.568 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 00:52.846 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:38.279 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:38.840 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:26.591 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:27.089 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:26.354 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:26.819 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.006 | 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 1831859472..fc4a6135b0 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
@@ -463,7 +463,7 @@ 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.zip1894251e-7ee7-49a0-997e-041a5f26fbd9 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+ Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipa441e209-5eeb-42af-b10c-1f1d155b1491 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 6e32471b58..942b1f0c4c 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
=================
-**00:50.655** total execution time for **how_to_extend_tvm** files:
+**00:50.947** 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``) | 00:46.977 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:47.337 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.650 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.570 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.021 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.034 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.007 | 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 b921afe385..17ced85169 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
@@ -220,10 +220,10 @@ profile the execution time of each passes.
.. code-block:: none
Printing results of timing profile...
- InferType: 17948us [17948us] (48.93%; 48.93%)
- FoldScaleAxis: 18736us [7us] (51.07%; 51.07%)
- FoldConstant: 18729us [1650us] (51.05%; 99.96%)
- InferType: 17079us [17079us] (46.56%; 91.19%)
+ InferType: 18974us [18974us] (49.05%; 49.05%)
+ FoldScaleAxis: 19712us [8us] (50.95%; 50.95%)
+ FoldConstant: 19704us [1840us] (50.93%; 99.96%)
+ InferType: 17865us [17865us] (46.18%; 90.66%)
@@ -262,10 +262,10 @@ Refer to following sections and :py:func:`tvm.instrument.pass_instrument` for th
.. code-block:: none
Printing results of timing profile...
- InferType: 17147us [17147us] (48.02%; 48.02%)
- FoldScaleAxis: 18560us [5us] (51.98%; 51.98%)
- FoldConstant: 18556us [1596us] (51.97%; 99.98%)
- InferType: 16960us [16960us] (47.50%; 91.40%)
+ InferType: 17833us [17833us] (47.87%; 47.87%)
+ FoldScaleAxis: 19423us [5us] (52.13%; 52.13%)
+ FoldConstant: 19418us [1706us] (52.12%; 99.97%)
+ InferType: 17712us [17712us] (47.54%; 91.21%)
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 6dcf5ef2d8..5e0d5ed6e6 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
@@ -331,7 +331,7 @@ latency of convolution.
.. code-block:: none
- Convolution: 52.057407 ms
+ Convolution: 54.197311 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 edfb1c3903..4d4063afda 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
@@ -602,7 +602,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 13.313597 ms
+ conv2d with tensor core: 6.833782 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 5f9424720c..f681d69726 100644
--- a/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_gemm.rst.txt
@@ -134,8 +134,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
.. code-block:: none
- Numpy running time: 0.015084
- Baseline: 3.370751
+ Numpy running time: 0.017762
+ Baseline: 3.507148
@@ -224,7 +224,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.290637
+ Opt1: 0.300386
@@ -312,7 +312,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.329233
+ Opt2: 0.334985
@@ -397,7 +397,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.113702
+ Opt3: 0.114853
@@ -511,7 +511,7 @@ flattening.
.. code-block:: none
- Opt4: 0.108499
+ Opt4: 0.109487
@@ -620,7 +620,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.100125
+ Opt5: 0.110788
@@ -730,7 +730,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.132327
+ Opt6: 0.144398
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 9ba6010826..76b6947f45 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
=================
-**00:33.495** total execution time for **how_to_optimize_operators** files:
+**00:34.925** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:30.705 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:32.363 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.601 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.473 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.190 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.088 | 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 d087747a97..1c9ef7f7f7 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
=================
-**09:24.925** total execution time for **how_to_tune_with_autoscheduler** files:
+**09:12.340** 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``) | 05:39.541 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 05:35.238 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:37.605 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:37.168 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:06.528 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:05.047 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:34.526 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:28.838 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:13.932 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:13.508 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:12.793 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:12.540 | 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 960af84570..41d9b0ce15 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
@@ -765,7 +765,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.350 ms
+ Execution time of this operator: 0.361 ms
@@ -1372,7 +1372,7 @@ In the example below we resume the status and do more 5 trials.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 5 minutes 39.541 seconds)
+ **Total running time of the script:** ( 5 minutes 35.238 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 ba4869c5f4..3f3158fe14 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
@@ -647,7 +647,7 @@ 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)
- 7.9029 7.9002 7.9123 7.8963 0.0068
+ 7.8660 7.8647 7.8696 7.8637 0.0026
@@ -675,7 +675,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 6.528 seconds)
+ **Total running time of the script:** ( 1 minutes 5.047 seconds)
.. _sphx_glr_download_how_to_tune_with_autoscheduler_tune_network_cuda.py:
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 dd6427a930..c059ca359b 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
@@ -666,7 +666,7 @@ 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)
- 760.2450 762.3287 762.8100 755.5962 3.2931
+ 752.1154 752.1782 755.5035 748.6643 2.7924
@@ -694,7 +694,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 37.605 seconds)
+ **Total running time of the script:** ( 1 minutes 37.168 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 361a89b6d6..58b6a3aa5b 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
@@ -386,74 +386,26 @@ layout transformation, parallelization, vectorization, unrolling, and operator f
@T.prim_func
def main(placeholder: T.Buffer((128, 256), "float32"), placeholder_1: T.Buffer((4916, 16, 1), "float32"), placeholder_2: T.Buffer((4916,), "int32"), placeholder_3: T.Buffer((33,), "int32"), placeholder_4: T.Buffer((128, 512), "float32"), compute: T.Buffer((128, 512), "float32")):
T.func_attr({"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True})
- for i0_outer_i1_outer_fused in T.parallel(16):
- compute_1 = T.allocate([4096], "float32", "global")
- compute_2 = T.buffer_decl((4096,), data=compute_1)
- for i_outer_inner, nb_j_inner in T.grid(2, 2):
- for i_inner_init in range(64):
- cse_var_1: T.int32 = i_outer_inner * 2048 + i_inner_init * 32 + nb_j_inner * 16
- compute_2[cse_var_1] = T.float32(0)
- compute_2[cse_var_1 + 1] = T.float32(0)
- compute_2[cse_var_1 + 2] = T.float32(0)
- compute_2[cse_var_1 + 3] = T.float32(0)
- compute_2[cse_var_1 + 4] = T.float32(0)
- compute_2[cse_var_1 + 5] = T.float32(0)
- compute_2[cse_var_1 + 6] = T.float32(0)
- compute_2[cse_var_1 + 7] = T.float32(0)
- compute_2[cse_var_1 + 8] = T.float32(0)
- compute_2[cse_var_1 + 9] = T.float32(0)
- compute_2[cse_var_1 + 10] = T.float32(0)
- compute_2[cse_var_1 + 11] = T.float32(0)
- compute_2[cse_var_1 + 12] = T.float32(0)
- compute_2[cse_var_1 + 13] = T.float32(0)
- compute_2[cse_var_1 + 14] = T.float32(0)
- compute_2[cse_var_1 + 15] = T.float32(0)
- for elem_idx, i_inner in T.grid(T.let(cse_var_2, i0_outer_i1_outer_fused * 2 + nb_j_inner, placeholder_5[cse_var_2 + 1] - placeholder_5[cse_var_2]), 64):
- cse_var_2 = T.var("int32")
+ for i0_outer_i1_outer_fused in T.parallel(32):
+ compute_1 = T.allocate([2048], "float32", "global")
+ compute_2 = T.buffer_decl((2048,), data=compute_1)
+ for i_outer_inner, nb_j_inner in T.grid(4, 2):
+ for i_inner_init, j_init in T.grid(16, 16):
+ compute_2[i_outer_inner * 512 + i_inner_init * 32 + nb_j_inner * 16 + j_init] = T.float32(0)
+ for elem_idx, i_inner, j in T.grid(T.let(cse_var_1, i0_outer_i1_outer_fused % 16 * 2 + nb_j_inner, placeholder_5[cse_var_1 + 1] - placeholder_5[cse_var_1]), 16, 16):
+ cse_var_1 = T.var("int32")
placeholder_5 = T.buffer_decl((33,), "int32", data=placeholder_3.data)
- cse_var_21: T.int32 = elem_idx * 16
- cse_var_20: T.int32 = i0_outer_i1_outer_fused * 2 + nb_j_inner
- cse_var_19: T.int32 = i_outer_inner * 16384 + i_inner * 256
- cse_var_18: T.int32 = i_outer_inner * 2048 + i_inner * 32 + nb_j_inner * 16
- cse_var_17: T.int32 = cse_var_18 + 9
- cse_var_16: T.int32 = cse_var_18 + 8
- cse_var_15: T.int32 = cse_var_18 + 7
- cse_var_14: T.int32 = cse_var_18 + 6
- cse_var_13: T.int32 = cse_var_18 + 5
- cse_var_12: T.int32 = cse_var_18 + 4
- cse_var_11: T.int32 = cse_var_18 + 3
- cse_var_10: T.int32 = cse_var_18 + 2
- cse_var_9: T.int32 = cse_var_18 + 15
- cse_var_8: T.int32 = cse_var_18 + 14
- cse_var_7: T.int32 = cse_var_18 + 13
- cse_var_6: T.int32 = cse_var_18 + 12
- cse_var_5: T.int32 = cse_var_18 + 11
- cse_var_4: T.int32 = cse_var_18 + 10
- cse_var_3: T.int32 = cse_var_18 + 1
+ cse_var_3: T.int32 = i0_outer_i1_outer_fused % 16 * 2 + nb_j_inner
+ cse_var_2: T.int32 = i_outer_inner * 512 + i_inner * 32 + nb_j_inner * 16 + j
placeholder_6 = T.buffer_decl((78656,), data=placeholder_1.data)
placeholder_7 = T.buffer_decl((32768,), data=placeholder.data)
placeholder_8 = T.buffer_decl((4916,), "int32", data=placeholder_2.data)
- compute_2[cse_var_18] = compute_2[cse_var_18] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_3] = compute_2[cse_var_3] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 1] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_10] = compute_2[cse_var_10] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 2] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_11] = compute_2[cse_var_11] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 3] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_12] = compute_2[cse_var_12] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 4] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_13] = compute_2[cse_var_13] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 5] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_14] = compute_2[cse_var_14] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 6] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_15] = compute_2[cse_var_15] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 7] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_16] = compute_2[cse_var_16] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 8] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_17] = compute_2[cse_var_17] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 9] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_4] = compute_2[cse_var_4] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 10] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_5] = compute_2[cse_var_5] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 11] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_6] = compute_2[cse_var_6] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 12] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_7] = compute_2[cse_var_7] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 13] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_8] = compute_2[cse_var_8] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 14] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_9] = compute_2[cse_var_9] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 15] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- for i0_inner, i1_inner in T.grid(128, 32):
- cse_var_22: T.int32 = i0_inner * 512 + i0_outer_i1_outer_fused * 32 + i1_inner
+ compute_2[cse_var_2] = compute_2[cse_var_2] + placeholder_6[placeholder_5[cse_var_3] * 16 + elem_idx * 16 + j] * T.max(placeholder_7[i0_outer_i1_outer_fused // 16 * 16384 + i_outer_inner * 4096 + i_inner * 256 + placeholder_8[placeholder_5[cse_var_3] + elem_idx]], T.float32(0))
+ for i0_inner in range(64):
+ cse_var_4: T.int32 = i0_outer_i1_outer_fused // 16 * 32768 + i0_inner * 512 + i0_outer_i1_outer_fused % 16 * 32
compute_3 = T.buffer_decl((65536,), data=compute.data)
placeholder_5 = T.buffer_decl((65536,), data=placeholder_4.data)
- compute_3[cse_var_22] = T.max(compute_2[i0_inner * 32 + i1_inner] + placeholder_5[cse_var_22], T.float32(0))
+ compute_3[cse_var_4:cse_var_4 + 32] = T.max(compute_2[i0_inner * 32:i0_inner * 32 + 32] + placeholder_5[cse_var_4:cse_var_4 + 32], T.Broadcast(T.float32(0), 32))
@@ -503,7 +455,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 1.865 ms
+ Execution time of this operator: 1.504 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 216bf605e4..da77895f38 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:40.160** total execution time for **how_to_tune_with_autotvm** files:
+**00:29.883** 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``) | 00:40.127 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:29.851 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.019 | 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 f47e30cc9c..8b78b05b14 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
@@ -390,7 +390,7 @@ 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 875, 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, 64]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6548069
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 8, 8]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1348756
No: 2 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
@@ -513,9 +513,8 @@ 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 875, 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, 256, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,955732
- No: 3 GFLOPS: 0.89/0.89 result: MeasureResult(costs=(0.26042663549999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=9.621100187301636, timestamp=1674506680.363243) [('tile_f', [-1, 1, 2, 128]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4163713
- No: 4 GFLOPS: 0.00/0.89 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 4, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 256, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9708676
+ No: 3 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -637,9 +636,10 @@ 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 875, 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, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 128, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7255657
- No: 5 GFLOPS: 14.80/14.80 result: MeasureResult(costs=(0.015640404555555557,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.547365665435791, timestamp=1674506684.110485) [('tile_f', [-1, 16, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7646324
- No: 6 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 2, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,367811
+ No: 4 GFLOPS: 7.15/7.15 result: MeasureResult(costs=(0.0323805845,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4197022914886475, timestamp=1674513805.5752122) [('tile_f', [-1, 1, 4, 8]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6515009
+ No: 5 GFLOPS: 96.50/96.50 result: MeasureResult(costs=(0.002399077261904762,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.259687900543213, timestamp=1674513808.2390378) [('tile_f', [-1, 1, 2, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6046324
+ No: 6 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -761,8 +761,9 @@ 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 875, 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, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,3454641
- No: 7 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 8, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10063100
+ No: 7 GFLOPS: 1.97/96.50 result: MeasureResult(costs=(0.11765058125,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.502441883087158, timestamp=1674513811.1122339) [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,234405
+ No: 8 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -884,8 +885,8 @@ 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 875, 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, 128, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6744589
- No: 8 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5946922
+ No: 9 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1007,8 +1008,11 @@ 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 875, 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, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10173325
- No: 9 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6853262
+ No: 10 GFLOPS: 123.51/123.51 result: MeasureResult(costs=(0.0018743788705882353,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8191518783569336, timestamp=1674513813.335441) [('tile_f', [-1, 4, 8, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1162603
+ No: 11 GFLOPS: 559.47/559.47 result: MeasureResult(costs=(0.00041378937371134016,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.011948585510254, timestamp=1674513814.3352637) [('tile_f', [-1, 1, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9928860
+ No: 12 GFLOPS: 877.34/877.34 result: MeasureResult(costs=(0.00026386789949748744,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7633612155914307, timestamp=1674513815.0643272) [('tile_f', [-1, 2, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10333465
+ No: 13 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1130,9 +1134,8 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 8, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10414222
- No: 10 GFLOPS: 92.01/92.01 result: MeasureResult(costs=(0.002515918093023256,), error_no=MeasureErrorNo.NO_ERROR, all_cost=7.519283056259155, timestamp=1674506693.8013742) [('tile_f', [-1, 16, 4, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9780563
- No: 11 GFLOPS: 0.00/92.01 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, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6056774
+ No: 14 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1254,8 +1257,8 @@ 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 875, 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, 16, 8]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3651059
- No: 12 GFLOPS: 0.00/92.01 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 8, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2343345
+ No: 15 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1377,8 +1380,8 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7145760
- No: 13 GFLOPS: 0.00/92.01 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 256, 1, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,5153728
+ No: 16 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1500,9 +1503,8 @@ 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 875, 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, 32, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7206482
- No: 14 GFLOPS: 296.57/296.57 result: MeasureResult(costs=(0.0007805909333333334,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.138368844985962, timestamp=1674506695.1737492) [('tile_f', [-1, 1, 8, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5739481
- No: 15 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 128, 1, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1901302
+ No: 17 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1624,8 +1626,8 @@ 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 875, 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, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3783463
- No: 16 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 64, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,695363
+ No: 18 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1747,8 +1749,9 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1082945
- No: 17 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,933866
+ No: 19 GFLOPS: 16.46/877.34 result: MeasureResult(costs=(0.01406467625,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1628198623657227, timestamp=1674513816.5768745) [('tile_f', [-1, 1, 4, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 64, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2925269
+ No: 20 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1870,376 +1873,7 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 64, 1, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9145286
- No: 18 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
- tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 4]), ('tile_y', [-1, 1, 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', 1500), ('unroll_explicit', 1)],None,9186888
- No: 19 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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, 256, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8397059
- No: 20 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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, 256, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6444999
+ tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 2, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9279930
@@ -2294,9 +1928,9 @@ and measure running time.
Finish loading 20 records
Best config:
- [('tile_f', [-1, 1, 8, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5739481
+ [('tile_f', [-1, 2, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10333465
Finish loading 20 records
- Time cost of this operator: 0.001109
+ Time cost of this operator: 0.000541
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 47662ea584..19f14ced54 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
@@ -363,10 +363,10 @@ 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 311.7 98.707 (1, 2, 10, 10, 3) 2 1 [311.7]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.108 0.984 (1, 6, 10, 10) 1 1 [3.108]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.975 0.309 (1, 1, 10, 10, 3) 1 1 [0.975]
- Total_time - 315.783 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 312.5 98.738 (1, 2, 10, 10, 3) 2 1 [312.5]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.021 0.955 (1, 6, 10, 10) 1 1 [3.021]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.974 0.308 (1, 1, 10, 10, 3) 1 1 [0.974]
+ Total_time - 316.495 - - - - -
@@ -431,10 +431,10 @@ 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 100.8 97.323 (1, 6, 10, 10, 1) 2 1 [100.8]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.795 1.733 (1, 6, 10, 10) 1 1 [1.795]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.978 0.944 (1, 1, 10, 10, 3) 1 1 [0.978]
- Total_time - 103.573 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.4 97.408 (1, 6, 10, 10, 1) 2 1 [102.4]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.769 1.682 (1, 6, 10, 10) 1 1 [1.769]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.956 0.91 (1, 1, 10, 10, 3) 1 1 [0.956]
+ Total_time - 105.125 - - - - -
diff --git a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
index 392992ecd3..00b86e152a 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
@@ -117,7 +117,7 @@ download a cat image and preprocess it to use as the model input.
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
"must run observer before calling calculate_qparams. " +
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
-
0%| | 0.00/3.42M [00:00<?, ?B/s]
100%|##########| 3.42M/3.42M [00:00<00:00, 64.7MB/s]
+
0%| | 0.00/3.42M [00:00<?, ?B/s]
100%|##########| 3.42M/3.42M [00:00<00:00, 131MB/s]
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
return LooseVersion(torch_ver) > ver
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -322,7 +322,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 11.081 seconds)
+ **Total running time of the script:** ( 1 minutes 7.563 seconds)
.. _sphx_glr_download_how_to_work_with_microtvm_micro_pytorch.py:
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 e9b6c85464..fa614110ff 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
@@ -218,7 +218,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
.. code-block:: none
- '/tmp/tmpumlk8hbn/images/random'
+ '/tmp/tmp64et68e_/images/random'
@@ -309,7 +309,7 @@ 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], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 0.0], [1.0, 0.0]
+ :alt: [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], [0.0, 1.0], [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
@@ -318,8 +318,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmpumlk8hbn/images/target contains 8144 images
- /tmp/tmpumlk8hbn/images/random contains 5000 images
+ /tmp/tmp64et68e_/images/target contains 8144 images
+ /tmp/tmp64et68e_/images/random contains 5000 images
@@ -494,13 +494,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 47s - loss: 0.2076 - accuracy: 0.9283 - val_loss: 0.2454 - val_accuracy: 0.9309 - 47s/epoch - 145ms/step
+ 328/328 - 47s - loss: 0.2592 - accuracy: 0.9130 - val_loss: 0.2900 - val_accuracy: 0.9037 - 47s/epoch - 143ms/step
Epoch 2/3
- 328/328 - 41s - loss: 0.0938 - accuracy: 0.9657 - val_loss: 0.1286 - val_accuracy: 0.9569 - 41s/epoch - 125ms/step
+ 328/328 - 43s - loss: 0.1075 - accuracy: 0.9605 - val_loss: 0.1097 - val_accuracy: 0.9573 - 43s/epoch - 132ms/step
Epoch 3/3
- 328/328 - 41s - loss: 0.0656 - accuracy: 0.9751 - val_loss: 0.1139 - val_accuracy: 0.9656 - 41s/epoch - 125ms/step
+ 328/328 - 43s - loss: 0.0740 - accuracy: 0.9728 - val_loss: 0.1193 - val_accuracy: 0.9585 - 43s/epoch - 131ms/step
- <keras.callbacks.History object at 0x7ff924610410>
+ <keras.callbacks.History object at 0x7efecb4f6290>
@@ -857,7 +857,7 @@ 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 28.121 seconds)
+ **Total running time of the script:** ( 4 minutes 30.307 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 c32bdf3b5c..f2a97b4da8 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
@@ -5,23 +5,23 @@
Computation times
=================
-**06:46.122** total execution time for **how_to_work_with_microtvm** files:
+**06:41.154** total execution time for **how_to_work_with_microtvm** files:
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:28.121 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:30.307 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:11.081 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:07.563 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 00:53.804 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 00:50.749 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:09.073 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:08.696 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:04.042 | 0.0 MB |
-+---------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``) | 00:00.000 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:03.840 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tvmc.py` (``micro_tvmc.py``) | 00:00.000 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``) | 00:00.000 | 0.0 MB |
++---------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_microtvm_micro_reference_vm.py` (``micro_reference_vm.py``) | 00:00.000 | 0.0 MB |
+---------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_microtvm_micro_mlperftiny.py` (``micro_mlperftiny.py``) | 00:00.000 | 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 0c8eb62330..308e4c853e 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
=================
-**00:44.182** total execution time for **how_to_work_with_relay** files:
+**00:44.052** 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``) | 00:32.457 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.218 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:10.235 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:10.170 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.484 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.658 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``) | 00:00.006 | 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 4202d7f7cf..e6a9b31d3d 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
@@ -264,7 +264,7 @@ The following example customizes CUDA lowering rule for :code:`exp`.
.. code-block:: none
- <function my_cuda_math_rule at 0x7ff91a4b15f0>
+ <function my_cuda_math_rule at 0x7efcfd7ea680>
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 4c7af8d7d2..52ad6c2e17 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
@@ -5,22 +5,22 @@
Computation times
=================
-**00:07.982** total execution time for **how_to_work_with_schedules** files:
+**00:07.544** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:05.402 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:05.090 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.181 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.107 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.602 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.574 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.580 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.556 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.114 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.049 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.050 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.030 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.031 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.023 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.024 | 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 c92e3e4fd6..e679f02bfb 100644
--- a/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/tensorize.rst.txt
@@ -328,7 +328,7 @@ The importing needs to happen before the tensorized GEMV being executed.
def main(A: T.Buffer((1024, 64), "float32"), B: T.Buffer((512, 64), "float32"), C: T.Buffer((1024, 512), "float32")):
T.func_attr({"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True})
i = T.var("int32")
- T.attr(T.iter_var(i, None, "DataPar", ""), "pragma_import_llvm", "; ModuleID = '/tmp/tmpkb80b9a7/input0.cc'\nsource_filename = \"/tmp/tmpkb80b9a7/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 float*, [...]
+ T.attr(T.iter_var(i, None, "DataPar", ""), "pragma_import_llvm", "; ModuleID = '/tmp/tmptb0aihq4/input0.cc'\nsource_filename = \"/tmp/tmptb0aihq4/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 float*, [...]
for i, j_outer in T.grid(1024, 32):
T.call_extern("int32", "gemv_update", T.tvm_access_ptr(T.type_annotation("float32"), C.data, i * 512 + j_outer * 16, 16, 2), T.tvm_access_ptr(T.type_annotation("float32"), A.data, i * 64, 64, 1), T.tvm_access_ptr(T.type_annotation("float32"), B.data, j_outer * 1024, 1024, 1), 16, 64, 64)
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 d4ffdedec0..fcb506cfd9 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
=================
-**00:29.372** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:29.156** total execution time for **topic_vta_tutorials_autotvm** files:
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:29.365 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:29.149 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.006 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.007 | 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 d7a661990d..54a80feb30 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -293,7 +293,7 @@ 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 30.42s!
+ resnet18_v1 inference graph built in 30.99s!
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 029135b913..6c3613d561 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ 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 20.94s!
+ yolov3-tiny inference graph built in 21.22s!
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 1cb3f13e38..f68085af3e 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
=================
-**01:34.703** total execution time for **topic_vta_tutorials_frontend** files:
+**01:36.018** total execution time for **topic_vta_tutorials_frontend** files:
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:47.640 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:48.314 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:47.063 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:47.703 | 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 dda17e948c..df6d0fa5eb 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
=================
-**00:03.178** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.114** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.688 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.657 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.490 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.457 | 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 b3fb2b742c..e10bb0db74 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
=================
-**00:00.906** total execution time for **topic_vta_tutorials** files:
+**00:00.798** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.491 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.420 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.415 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.377 | 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 4e9d0e9f50..cbf7be18a2 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -315,7 +315,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 95.074 ms
+ Execution time of this operator: 97.481 ms
@@ -415,7 +415,7 @@ resume the status and do more 5 trials.
Resume search:
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/xgboost/training.py:17: UserWarning: Old style callback is deprecated. See: https://xgboost.readthedocs.io/en/latest/python/callbacks.html
warnings.warn(f'Old style callback is deprecated. See: {link}', UserWarning)
-
+ *E
@@ -433,7 +433,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 22.056 seconds)
+ **Total running time of the script:** ( 1 minutes 22.753 seconds)
.. _sphx_glr_download_tutorial_auto_scheduler_matmul_x86.py:
diff --git a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
index 5d81a72c80..63e37ed0e2 100644
--- a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
@@ -454,16 +454,16 @@ reduce variance, we take 5 measurements and average them.
waiting for device...
device available
Get devices for measurement successfully!
- No: 1 GFLOPS: 2.04/2.04 result: MeasureResult(costs=(0.1315602268,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3393571376800537, timestamp=1674505214.0668938) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
- No: 2 GFLOPS: 14.13/14.13 result: MeasureResult(costs=(0.0189911,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.557861328125, timestamp=1674505214.6259162) [('tile_y', [-1, 4]), ('tile_x', [-1, 256])],None,82
- No: 3 GFLOPS: 14.23/14.23 result: MeasureResult(costs=(0.0188584128,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5545961856842041, timestamp=1674505215.9326067) [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
- No: 4 GFLOPS: 3.78/14.23 result: MeasureResult(costs=(0.07102492419999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3853003978729248, timestamp=1674505218.06937) [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
- No: 5 GFLOPS: 3.76/14.23 result: MeasureResult(costs=(0.07132644460000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3777503967285156, timestamp=1674505219.5670109) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
- No: 6 GFLOPS: 3.15/14.23 result: MeasureResult(costs=(0.08527689720000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5884134769439697, timestamp=1674505221.1781266) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
- No: 7 GFLOPS: 1.48/14.23 result: MeasureResult(costs=(0.18095148300000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.107107162475586, timestamp=1674505225.0639858) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
- No: 8 GFLOPS: 12.20/14.23 result: MeasureResult(costs=(0.0220025862,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.578179121017456, timestamp=1674505225.674355) [('tile_y', [-1, 1]), ('tile_x', [-1, 512])],None,90
- No: 9 GFLOPS: 8.38/14.23 result: MeasureResult(costs=(0.0320272536,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7061107158660889, timestamp=1674505226.5094233) [('tile_y', [-1, 1]), ('tile_x', [-1, 32])],None,50
- No: 10 GFLOPS: 2.43/14.23 result: MeasureResult(costs=(0.11033081559999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9765870571136475, timestamp=1674505228.5267246) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
+ No: 1 GFLOPS: 10.74/10.74 result: MeasureResult(costs=(0.024989734399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6266782283782959, timestamp=1674512336.7337456) [('tile_y', [-1, 1]), ('tile_x', [-1, 512])],None,90
+ No: 2 GFLOPS: 9.84/10.74 result: MeasureResult(costs=(0.027293356799999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7580826282501221, timestamp=1674512338.1714404) [('tile_y', [-1, 1]), ('tile_x', [-1, 64])],None,60
+ No: 3 GFLOPS: 2.09/10.74 result: MeasureResult(costs=(0.12843463119999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.2941246032714844, timestamp=1674512340.4820457) [('tile_y', [-1, 256]), ('tile_x', [-1, 4])],None,28
+ No: 4 GFLOPS: 1.17/10.74 result: MeasureResult(costs=(0.23003015540000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.003731966018677, timestamp=1674512345.25753) [('tile_y', [-1, 16]), ('tile_x', [-1, 1])],None,4
+ No: 5 GFLOPS: 2.49/10.74 result: MeasureResult(costs=(0.10782072300000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9857580661773682, timestamp=1674512347.3852532) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
+ No: 6 GFLOPS: 0.51/10.74 result: MeasureResult(costs=(0.5285495102,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.688407897949219, timestamp=1674512356.849172) [('tile_y', [-1, 128]), ('tile_x', [-1, 1])],None,7
+ No: 7 GFLOPS: 9.63/10.74 result: MeasureResult(costs=(0.0278737556,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.723987340927124, timestamp=1674512357.54924) [('tile_y', [-1, 512]), ('tile_x', [-1, 128])],None,79
+ No: 8 GFLOPS: 9.34/10.74 result: MeasureResult(costs=(0.028739960200000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6966686248779297, timestamp=1674512358.268422) [('tile_y', [-1, 1]), ('tile_x', [-1, 256])],None,80
+ No: 9 GFLOPS: 10.82/10.82 result: MeasureResult(costs=(0.0248077028,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5921809673309326, timestamp=1674512358.976445) [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
+ No: 10 GFLOPS: 12.76/12.76 result: MeasureResult(costs=(0.0210330044,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5353801250457764, timestamp=1674512359.5655851) [('tile_y', [-1, 32]), ('tile_x', [-1, 512])],None,95
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 81bc01bc93..c5122c93bb 100644
--- a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
@@ -311,7 +311,7 @@ standard deviation.
.. code-block:: none
- {'mean': 506.7425502299966, 'median': 506.654013650018, 'std': 2.2001279636525695}
+ {'mean': 510.0786643299977, 'median': 510.2044242999966, 'std': 2.1323562065805746}
@@ -545,31 +545,31 @@ 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: 15.05/ 16.90 GFLOPS | Progress: (4/20) | 8.95 s
[Task 1/25] Current/Best: 6.07/ 16.90 GFLOPS | Progress: (8/20) | 12.61 s
[Task 1/25] Current/Best: 22.58/ 22.58 GFLOPS | Progress: (12/20) | 14.75 s
[Task 1/25] Current/Best: 17.68/ 22.95 GFLOPS | Progress: (16/20) | 16.68 s
[Task 1/25] Current/Best: 17.02/ 22.95 GFLOPS | Progress: (20/20) | 18.68 s Done.
-
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 6.39/ 15.56 GFLOPS | Progress: (4/20) | 3.62 s
[Task 2/25] Current/Best: 16.94/ 18.74 GFLOPS | Progress: (8/20) | 5.09 s
[Task 2/25] Current/Best: 10.14/ 19.74 GFLOPS | Progress: (12/20) | 6.73 s
[Task 2/25] Current/Best: 11.06/ 19.82 GFLOPS | Progress: (16/20) | 8.79 s
[Task 2/25] Current/Best: 9.18/ 19.82 GFLOPS | Progress: (20/20) | 10.42 s Done.
-
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 10.92/ 17.21 GFLOPS | Progress: (4/20) | 4.66 s
[Task 3/25] Current/Best: 16.56/ 17.21 GFLOPS | Progress: (8/20) | 7.08 s
[Task 3/25] Current/Best: 14.71/ 17.21 GFLOPS | Progress: (12/20) | 10.03 s
[Task 3/25] Current/Best: 6.32/ 21.55 GFLOPS | Progress: (16/20) | 12.45 s
[Task 3/25] Current/Best: 13.13/ 21.55 GFLOPS | Progress: (20/20) | 15.07 s Done.
-
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 16.15/ 22.05 GFLOPS | Progress: (4/20) | 3.81 s
[Task 4/25] Current/Best: 20.80/ 22.05 GFLOPS | Progress: (8/20) | 5.78 s
[Task 4/25] Current/Best: 16.47/ 22.05 GFLOPS | Progress: (12/20) | 7.83 s
[Task 4/25] Current/Best: 8.14/ 22.05 GFLOPS | Progress: (16/20) | 10.14 s
[Task 4/25] Current/Best: 8.41/ 22.05 GFLOPS | Progress: (20/20) | 15.25 s Done.
-
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 16.03/ 20.57 GFLOPS | Progress: (4/20) | 3.84 s
[Task 5/25] Current/Best: 9.86/ 20.57 GFLOPS | Progress: (8/20) | 6.02 s
[Task 5/25] Current/Best: 14.60/ 20.57 GFLOPS | Progress: (12/20) | 8.75 s
[Task 5/25] Current/Best: 12.23/ 20.57 GFLOPS | Progress: (16/20) | 10.96 s
[Task 5/25] Current/Best: 21.00/ 21.00 GFLOPS | Progress: (20/20) | 14.14 s Done.
-
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 8.07/ 12.32 GFLOPS | Progress: (4/20) | 6.18 s
[Task 6/25] Current/Best: 18.80/ 18.80 GFLOPS | Progress: (8/20) | 10.28 s
[Task 6/25] Current/Best: 7.79/ 18.80 GFLOPS | Progress: (12/20) | 12.65 s
[Task 6/25] Current/Best: 6.84/ 18.80 GFLOPS | Progress: (16/20) | 15.03 s
[Task 6/25] Current/Best: 9.35/ 18.80 GFLOPS | Progress: (20/20) | 18.69 s Done.
-
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 15.85/ 18.97 GFLOPS | Progress: (4/20) | 3.94 s
[Task 7/25] Current/Best: 20.49/ 20.49 GFLOPS | Progress: (8/20) | 6.75 s
[Task 7/25] Current/Best: 21.36/ 21.36 GFLOPS | Progress: (12/20) | 10.73 s
[Task 7/25] Current/Best: 15.49/ 21.36 GFLOPS | Progress: (16/20) | 12.72 s
[Task 7/25] Current/Best: 5.51/ 21.36 GFLOPS | Progress: (20/20) | 15.53 s Done.
-
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 5.83/ 14.96 GFLOPS | Progress: (4/20) | 4.38 s
[Task 8/25] Current/Best: 7.34/ 14.96 GFLOPS | Progress: (8/20) | 8.82 s
[Task 8/25] Current/Best: 7.53/ 18.80 GFLOPS | Progress: (12/20) | 11.07 s
[Task 8/25] Current/Best: 6.61/ 18.80 GFLOPS | Progress: (16/20) | 14.00 s
[Task 8/25] Current/Best: 6.21/ 18.80 GFLOPS | Progress: (20/20) | 23.44 s Done.
-
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 7.35/ 15.23 GFLOPS | Progress: (4/20) | 5.83 s
[Task 9/25] Current/Best: 13.00/ 15.23 GFLOPS | Progress: (8/20) | 12.07 s
[Task 9/25] Current/Best: 13.18/ 16.96 GFLOPS | Progress: (12/20) | 18.25 s
[Task 9/25] Current/Best: 10.31/ 16.96 GFLOPS | Progress: (16/20) | 21.28 s
[Task 9/25] Current/Best: 19.09/ 20.87 GFLOPS | Progress: (20/20) | 29.47 s Done.
-
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 10.27/ 14.03 GFLOPS | Progress: (4/20) | 4.65 s
[Task 10/25] Current/Best: 21.58/ 21.58 GFLOPS | Progress: (8/20) | 8.18 s
[Task 10/25] Current/Best: 2.93/ 21.58 GFLOPS | Progress: (12/20) | 11.89 s
[Task 10/25] Current/Best: 14.13/ 21.58 GFLOPS | Progress: (16/20) | 15.23 s
[Task 10/25] Current/Best: 5.05/ 21.58 GFLOPS | Progress: (20/20) | 17.39 s Done.
-
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 19.15/ 19.42 GFLOPS | Progress: (4/20) | 4.44 s
[Task 11/25] Current/Best: 17.52/ 22.07 GFLOPS | Progress: (8/20) | 6.65 s
[Task 11/25] Current/Best: 18.32/ 22.09 GFLOPS | Progress: (12/20) | 9.11 s
[Task 11/25] Current/Best: 6.56/ 22.09 GFLOPS | Progress: (16/20) | 12.04 s
[Task 11/25] Current/Best: 14.67/ 22.09 GFLOPS | Progress: (20/20) | 14.98 s Done.
-
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 3.10/ 14.81 GFLOPS | Progress: (4/20) | 4.81 s
[Task 12/25] Current/Best: 6.01/ 16.26 GFLOPS | Progress: (8/20) | 7.55 s
[Task 12/25] Current/Best: 8.16/ 16.26 GFLOPS | Progress: (12/20) | 16.66 s
[Task 12/25] Current/Best: 1.63/ 16.26 GFLOPS | Progress: (16/20) | 21.18 s
[Task 12/25] Current/Best: 3.29/ 16.26 GFLOPS | Progress: (20/20) | 23.87 s Done.
-
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 18.76/ 18.76 GFLOPS | Progress: (4/20) | 4.72 s
[Task 13/25] Current/Best: 15.18/ 18.76 GFLOPS | Progress: (8/20) | 7.94 s
[Task 13/25] Current/Best: 18.17/ 19.51 GFLOPS | Progress: (12/20) | 11.04 s
[Task 13/25] Current/Best: 17.64/ 19.51 GFLOPS | Progress: (16/20) | 14.50 s
[Task 13/25] Current/Best: 4.24/ 19.51 GFLOPS | Progress: (20/20) | 18.30 s Done.
-
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 6.16/ 17.73 GFLOPS | Progress: (4/20) | 4.19 s
[Task 14/25] Current/Best: 14.73/ 17.73 GFLOPS | Progress: (8/20) | 6.63 s
[Task 14/25] Current/Best: 12.46/ 17.73 GFLOPS | Progress: (12/20) | 8.65 s
[Task 14/25] Current/Best: 20.34/ 20.34 GFLOPS | Progress: (16/20) | 11.64 s
[Task 14/25] Current/Best: 10.03/ 20.34 GFLOPS | Progress: (20/20) | 15.22 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 15.22/ 15.87 GFLOPS | Progress: (4/20) | 4.11 s Done.
-
[Task 15/25] Current/Best: 10.24/ 15.87 GFLOPS | Progress: (8/20) | 9.43 s
[Task 15/25] Current/Best: 12.79/ 20.12 GFLOPS | Progress: (12/20) | 12.11 s
[Task 15/25] Current/Best: 7.18/ 23.10 GFLOPS | Progress: (16/20) | 13.72 s
[Task 15/25] Current/Best: 9.95/ 23.10 GFLOPS | Progress: (20/20) | 17.12 s Done.
-
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 17.55/ 17.55 GFLOPS | Progress: (4/20) | 3.58 s
[Task 16/25] Current/Best: 12.27/ 18.35 GFLOPS | Progress: (8/20) | 6.01 s
[Task 16/25] Current/Best: 4.11/ 19.91 GFLOPS | Progress: (12/20) | 7.86 s
[Task 16/25] Current/Best: 12.82/ 19.91 GFLOPS | Progress: (16/20) | 9.77 s
[Task 16/25] Current/Best: 4.24/ 19.91 GFLOPS | Progress: (20/20) | 11.82 s Done.
-
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 18.36/ 21.27 GFLOPS | Progress: (4/20) | 4.11 s
[Task 17/25] Current/Best: 12.69/ 24.04 GFLOPS | Progress: (8/20) | 6.26 s
[Task 17/25] Current/Best: 13.95/ 24.04 GFLOPS | Progress: (12/20) | 9.60 s
[Task 17/25] Current/Best: 12.48/ 24.04 GFLOPS | Progress: (16/20) | 12.31 s
[Task 17/25] Current/Best: 12.23/ 24.04 GFLOPS | Progress: (20/20) | 16.55 s Done.
-
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 6.19/ 15.23 GFLOPS | Progress: (4/20) | 5.62 s
[Task 18/25] Current/Best: 10.25/ 16.19 GFLOPS | Progress: (8/20) | 11.81 s
[Task 18/25] Current/Best: 18.37/ 18.37 GFLOPS | Progress: (12/20) | 14.21 s
[Task 18/25] Current/Best: 19.07/ 19.07 GFLOPS | Progress: (16/20) | 16.54 s
[Task 18/25] Current/Best: 18.42/ 19.16 GFLOPS | Progress: (20/20) | 19.44 s Done.
-
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 9.89/ 22.47 GFLOPS | Progress: (4/20) | 4.44 s
[Task 19/25] Current/Best: 18.47/ 22.47 GFLOPS | Progress: (8/20) | 6.73 s
[Task 19/25] Current/Best: 14.56/ 22.47 GFLOPS | Progress: (12/20) | 11.75 s
[Task 19/25] Current/Best: 15.87/ 22.47 GFLOPS | Progress: (16/20) | 15.61 s
[Task 19/25] Current/Best: 19.37/ 22.47 GFLOPS | Progress: (20/20) | 19.15 s Done.
-
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 21.17/ 21.17 GFLOPS | Progress: (4/20) | 4.16 s
[Task 20/25] Current/Best: 15.94/ 21.17 GFLOPS | Progress: (8/20) | 6.72 s
[Task 20/25] Current/Best: 13.49/ 21.17 GFLOPS | Progress: (12/20) | 9.17 s
[Task 20/25] Current/Best: 20.48/ 21.17 GFLOPS | Progress: (16/20) | 11.45 s
[Task 20/25] Current/Best: 13.24/ 21.19 GFLOPS | Progress: (20/20) | 12.89 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 16.12/ 23.03 GFLOPS | Progress: (4/20) | 5.90 s
[Task 21/25] Current/Best: 5.37/ 23.03 GFLOPS | Progress: (8/20) | 8.28 s
[Task 21/25] Current/Best: 8.06/ 23.03 GFLOPS | Progress: (12/20) | 10.83 s
[Task 21/25] Current/Best: 16.95/ 23.03 GFLOPS | Progress: (16/20) | 12.14 s
[Task 21/25] Current/Best: 7.71/ 23.03 GFLOPS | Progress: (20/20)
| 14.96 s
[Task 22/25] 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: 7.25/ 19.40 GFLOPS | Progress: (4/20) | 11.14 s
[Task 1/25] Current/Best: 14.63/ 19.40 GFLOPS | Progress: (8/20) | 15.04 s
[Task 1/25] Current/Best: 5.39/ 19.40 GFLOPS | Progress: (12/20) | 17.71 s
[Task 1/25] Current/Best: 16.70/ 22.54 GFLOPS | Progress: (16/20) | 19.67 s
[Task 1/25] Current/Best: 22.33/ 22.54 GFLOPS | Progress: (20/20) | 22.50 s Done.
+
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 11.43/ 16.01 GFLOPS | Progress: (4/20) | 3.48 s
[Task 2/25] Current/Best: 12.42/ 16.01 GFLOPS | Progress: (8/20) | 5.18 s
[Task 2/25] Current/Best: 9.67/ 19.58 GFLOPS | Progress: (12/20) | 6.73 s
[Task 2/25] Current/Best: 5.62/ 19.58 GFLOPS | Progress: (16/20) | 8.17 s
[Task 2/25] Current/Best: 12.98/ 19.58 GFLOPS | Progress: (20/20) | 9.95 s Done.
+
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 7.61/ 20.34 GFLOPS | Progress: (4/20) | 4.72 s
[Task 3/25] Current/Best: 11.65/ 21.73 GFLOPS | Progress: (8/20) | 7.77 s
[Task 3/25] Current/Best: 18.93/ 22.30 GFLOPS | Progress: (12/20) | 9.87 s
[Task 3/25] Current/Best: 13.49/ 22.30 GFLOPS | Progress: (16/20) | 12.07 s
[Task 3/25] Current/Best: 23.57/ 23.57 GFLOPS | Progress: (20/20) | 14.14 s Done.
+
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 12.11/ 20.26 GFLOPS | Progress: (4/20) | 3.76 s
[Task 4/25] Current/Best: 9.25/ 21.25 GFLOPS | Progress: (8/20) | 9.75 s
[Task 4/25] Current/Best: 6.13/ 22.38 GFLOPS | Progress: (12/20) | 11.79 s
[Task 4/25] Current/Best: 16.84/ 22.38 GFLOPS | Progress: (16/20) | 15.29 s
[Task 4/25] Current/Best: 15.03/ 22.38 GFLOPS | Progress: (20/20) | 17.25 s Done.
+
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 16.15/ 16.15 GFLOPS | Progress: (4/20) | 4.07 s
[Task 5/25] Current/Best: 14.21/ 21.75 GFLOPS | Progress: (8/20) | 5.77 s
[Task 5/25] Current/Best: 7.04/ 21.75 GFLOPS | Progress: (12/20) | 8.33 s
[Task 5/25] Current/Best: 12.61/ 21.75 GFLOPS | Progress: (16/20) | 10.14 s
[Task 5/25] Current/Best: 4.32/ 21.75 GFLOPS | Progress: (20/20) | 11.92 s Done.
+
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 19.76/ 19.76 GFLOPS | Progress: (4/20) | 4.75 s
[Task 6/25] Current/Best: 10.53/ 21.67 GFLOPS | Progress: (8/20) | 12.06 s
[Task 6/25] Current/Best: 18.29/ 21.67 GFLOPS | Progress: (12/20) | 15.21 s
[Task 6/25] Current/Best: 17.47/ 21.67 GFLOPS | Progress: (16/20) | 17.59 s
[Task 6/25] Current/Best: 4.13/ 21.67 GFLOPS | Progress: (20/20) | 21.68 s Done.
+
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 19.48/ 19.48 GFLOPS | Progress: (4/20) | 4.00 s
[Task 7/25] Current/Best: 16.25/ 20.03 GFLOPS | Progress: (8/20) | 6.34 s
[Task 7/25] Current/Best: 11.64/ 20.03 GFLOPS | Progress: (12/20) | 9.02 s
[Task 7/25] Current/Best: 13.10/ 20.03 GFLOPS | Progress: (16/20) | 12.25 s
[Task 7/25] Current/Best: 3.00/ 20.03 GFLOPS | Progress: (20/20) | 15.23 s Done.
+
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 13.96/ 13.96 GFLOPS | Progress: (4/20) | 5.83 s
[Task 8/25] Current/Best: 9.25/ 15.04 GFLOPS | Progress: (8/20) | 14.34 s
[Task 8/25] Current/Best: 20.86/ 20.86 GFLOPS | Progress: (12/20) | 16.95 s
[Task 8/25] Current/Best: 14.15/ 20.86 GFLOPS | Progress: (16/20) | 18.96 s
[Task 8/25] Current/Best: 17.34/ 20.86 GFLOPS | Progress: (20/20) | 24.34 s Done.
+
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 20.98/ 20.98 GFLOPS | Progress: (4/20) | 6.26 s
[Task 9/25] Current/Best: 14.59/ 20.98 GFLOPS | Progress: (8/20) | 11.55 s
[Task 9/25] Current/Best: 17.75/ 20.98 GFLOPS | Progress: (12/20) | 13.60 s
[Task 9/25] Current/Best: 4.97/ 23.05 GFLOPS | Progress: (16/20) | 24.82 s
[Task 9/25] Current/Best: 13.83/ 23.05 GFLOPS | Progress: (20/20) | 27.15 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 14.31/ 15.31 GFLOPS | Progress: (4/20) | 4.16 s
[Task 10/25] Current/Best: 13.74/ 16.24 GFLOPS | Progress: (8/20) | 6.42 s
[Task 10/25] Current/Best: 13.69/ 16.24 GFLOPS | Progress: (12/20) | 8.90 s
[Task 10/25] Current/Best: 18.10/ 18.10 GFLOPS | Progress: (16/20) | 11.56 s
[Task 10/25] Current/Best: 9.95/ 18.10 GFLOPS | Progress: (20/20
) | 13.57 s Done.
+
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 17.26/ 17.26 GFLOPS | Progress: (4/20) | 3.85 s
[Task 11/25] Current/Best: 9.38/ 23.10 GFLOPS | Progress: (8/20) | 6.12 s
[Task 11/25] Current/Best: 18.04/ 23.10 GFLOPS | Progress: (12/20) | 8.63 s
[Task 11/25] Current/Best: 8.01/ 23.10 GFLOPS | Progress: (16/20) | 10.91 s
[Task 11/25] Current/Best: 5.97/ 23.58 GFLOPS | Progress: (20/20) | 14.21 s Done.
+
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 13.42/ 16.09 GFLOPS | Progress: (4/20) | 4.76 s
[Task 12/25] Current/Best: 12.63/ 16.09 GFLOPS | Progress: (8/20) | 8.44 s
[Task 12/25] Current/Best: 16.16/ 18.22 GFLOPS | Progress: (12/20) | 13.09 s
[Task 12/25] Current/Best: 11.88/ 18.22 GFLOPS | Progress: (16/20) | 16.46 s
[Task 12/25] Current/Best: 13.21/ 18.33 GFLOPS | Progress: (20/20) | 20.07 s Done.
+
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 18.90/ 22.74 GFLOPS | Progress: (4/20) | 5.02 s
[Task 13/25] Current/Best: 9.75/ 22.74 GFLOPS | Progress: (8/20) | 8.71 s
[Task 13/25] Current/Best: 6.41/ 22.74 GFLOPS | Progress: (12/20) | 11.56 s
[Task 13/25] Current/Best: 11.51/ 22.74 GFLOPS | Progress: (16/20) | 14.97 s
[Task 13/25] Current/Best: 12.10/ 22.74 GFLOPS | Progress: (20/20) | 17.81 s Done.
+
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 13.92/ 13.92 GFLOPS | Progress: (4/20) | 4.81 s
[Task 14/25] Current/Best: 13.27/ 18.00 GFLOPS | Progress: (8/20) | 7.33 s
[Task 14/25] Current/Best: 17.05/ 18.00 GFLOPS | Progress: (12/20) | 9.93 s
[Task 14/25] Current/Best: 13.67/ 18.00 GFLOPS | Progress: (16/20) | 13.73 s
[Task 14/25] Current/Best: 17.35/ 18.00 GFLOPS | Progress: (20/20) | 15.76 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-
[Task 22/25] Current/Best: 5.05/ 19.11 GFLOPS | Progress: (4/20) | 3.79 s
[Task 22/25] Current/Best: 18.80/ 19.11 GFLOPS | Progress: (8/20) | 5.55 s
[Task 22/25] Current/Best: 16.00/ 19.11 GFLOPS | Progress: (12/20) | 7.66 s
[Task 22/25] Current/Best: 6.91/ 19.22 GFLOPS | Progress: (16/20) | 9.42 s
[Task 22/25] Current/Best: 11.81/ 21.03 GFLOPS | Progress: (20/20) | 11.24 s Done.
-
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 13.33/ 17.91 GFLOPS | Progress: (4/20) | 4.72 s
[Task 23/25] Current/Best: 2.73/ 18.38 GFLOPS | Progress: (8/20) | 9.31 s
[Task 23/25] Current/Best: 18.52/ 19.43 GFLOPS | Progress: (12/20) | 12.27 s
[Task 23/25] Current/Best: 8.26/ 19.62 GFLOPS | Progress: (16/20) | 16.11 s
[Task 23/25] Current/Best: 23.44/ 23.44 GFLOPS | Progress: (20/20) | 19.05 s Done.
-
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 9.56/ 9.58 GFLOPS | Progress: (4/20) | 7.25 s
[Task 24/25] Current/Best: 2.54/ 9.58 GFLOPS | Progress: (8/20) | 17.90 s
[Task 24/25] Current/Best: 6.18/ 9.58 GFLOPS | Progress: (12/20) | 29.31 s
[Task 24/25] Current/Best: 10.36/ 10.51 GFLOPS | Progress: (16/20) | 31.40 s
[Task 24/25] Current/Best: 7.33/ 10.51 GFLOPS | Progress: (20/20) | 42.33 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
-
[Task 25/25] Current/Best: 5.82/ 9.04 GFLOPS | Progress: (4/20) | 12.42 s
[Task 25/25] Current/Best: 5.18/ 9.04 GFLOPS | Progress: (8/20) | 18.23 s
[Task 25/25] Current/Best: 5.70/ 9.97 GFLOPS | Progress: (12/20) | 29.15 s
[Task 25/25] Current/Best: 8.41/ 9.97 GFLOPS | Progress: (16/20) | 31.63 s
[Task 25/25] Current/Best: 1.57/ 9.97 GFLOPS | Progress: (20/20) | 42.58 s
+
[Task 15/25] Current/Best: 9.04/ 17.96 GFLOPS | Progress: (4/20) | 8.32 s
[Task 15/25] Current/Best: 11.57/ 19.11 GFLOPS | Progress: (8/20) | 10.28 s
[Task 15/25] Current/Best: 8.98/ 19.11 GFLOPS | Progress: (12/20) | 14.16 s
[Task 15/25] Current/Best: 12.41/ 21.16 GFLOPS | Progress: (16/20) | 17.68 s
[Task 15/25] Current/Best: 3.17/ 21.16 GFLOPS | Progress: (20/20) | 19.64 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 8.90/ 16.81 GFLOPS | Progress: (4/20) | 5.75 s
[Task 16/25] Current/Best: 12.24/ 16.84 GFLOPS | Progress: (8/20) | 7.49 s
[Task 16/25] Current/Best: 9.38/ 16.84 GFLOPS | Progress: (12/20) | 9.77 s
[Task 16/25] Current/Best: 9.76/ 16.84 GFLOPS | Progress: (16/20) | 12.10 s
[Task 16/25] Current/Best: 13.03/ 20.74 GFLOPS | Progress: (20/20) | 14.15 s Done.
+
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 7.86/ 12.26 GFLOPS | Progress: (4/20) | 4.43 s
[Task 17/25] Current/Best: 16.12/ 16.12 GFLOPS | Progress: (8/20) | 7.97 s
[Task 17/25] Current/Best: 10.08/ 19.22 GFLOPS | Progress: (12/20) | 11.51 s
[Task 17/25] Current/Best: 7.87/ 19.22 GFLOPS | Progress: (16/20) | 15.54 s
[Task 17/25] Current/Best: 11.49/ 20.58 GFLOPS | Progress: (20/20) | 18.11 s Done.
+
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 18.74/ 18.74 GFLOPS | Progress: (4/20) | 9.96 s
[Task 18/25] Current/Best: 9.53/ 18.74 GFLOPS | Progress: (8/20) | 12.49 s
[Task 18/25] Current/Best: 15.45/ 18.74 GFLOPS | Progress: (12/20) | 17.44 s
[Task 18/25] Current/Best: 5.93/ 18.74 GFLOPS | Progress: (16/20) | 21.26 s
[Task 18/25] Current/Best: 11.46/ 18.74 GFLOPS | Progress: (20/20) | 27.04 s Done.
+
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 16.23/ 16.23 GFLOPS | Progress: (4/20) | 7.87 s
[Task 19/25] Current/Best: 10.29/ 17.76 GFLOPS | Progress: (8/20) | 10.54 s
[Task 19/25] Current/Best: 21.20/ 21.20 GFLOPS | Progress: (12/20) | 13.00 s
[Task 19/25] Current/Best: 8.46/ 21.20 GFLOPS | Progress: (16/20) | 17.10 s
[Task 19/25] Current/Best: 10.77/ 21.20 GFLOPS | Progress: (20/20) | 19.97 s Done.
+
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 10.59/ 18.72 GFLOPS | Progress: (4/20) | 4.31 s
[Task 20/25] Current/Best: 2.10/ 18.72 GFLOPS | Progress: (8/20) | 7.94 s
[Task 20/25] Current/Best: 19.80/ 19.80 GFLOPS | Progress: (12/20) | 10.70 s
[Task 20/25] Current/Best: 11.41/ 19.80 GFLOPS | Progress: (16/20) | 13.27 s
[Task 20/25] Current/Best: 18.21/ 19.80 GFLOPS | Progress: (20/20) | 15.27 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 7.58/ 10.14 GFLOPS | Progress: (4/20) | 4.81 s
[Task 21/25] Current/Best: 10.92/ 14.64 GFLOPS | Progress: (8/20) | 7.11 s Done.
+ Done.
+
[Task 21/25] Current/Best: 6.53/ 18.44 GFLOPS | Progress: (12/20) | 11.81 s
[Task 21/25] Current/Best: 3.14/ 18.44 GFLOPS | Progress: (16/20) | 16.22 s
[Task 21/25] Current/Best: 17.59/ 18.44 GFLOPS | Progress: (20/20) | 18.44 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 8.29/ 10.90 GFLOPS | Progress: (4/20) | 4.43 s
[Task 22/25] Current/Best: 11.58/ 16.54 GFLOPS | Progress: (8/20) | 6.32 s
[Task 22/25] Current/Best: 9.73/ 17.21 GFLOPS | Progress: (12/20) | 8.29 s
[Task 22/25] Current/Best: 16.03/ 17.21 GFLOPS | Progress: (16/20) | 10.14 s
[Task 22/25] Current/Best: 10.10/ 17.21 GFLOPS | Progress: (20/20) | 12.98 s Done.
+
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 6.37/ 11.62 GFLOPS | Progress: (4/20) | 5.07 s
[Task 23/25] Current/Best: 12.14/ 12.14 GFLOPS | Progress: (8/20) | 7.65 s
[Task 23/25] Current/Best: 12.19/ 12.19 GFLOPS | Progress: (12/20) | 12.17 s
[Task 23/25] Current/Best: 5.38/ 17.97 GFLOPS | Progress: (16/20) | 15.46 s
[Task 23/25] Current/Best: 11.37/ 18.87 GFLOPS | Progress: (20/20) | 19.54 s Done.
+
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 3.57/ 7.65 GFLOPS | Progress: (4/20) | 7.82 s
[Task 24/25] Current/Best: 3.70/ 7.72 GFLOPS | Progress: (8/20) | 11.11 s
[Task 24/25] Current/Best: 9.42/ 9.42 GFLOPS | Progress: (12/20) | 21.75 s
[Task 24/25] Current/Best: 4.85/ 9.62 GFLOPS | Progress: (16/20) | 32.36 s
[Task 24/25] Current/Best: 2.70/ 9.97 GFLOPS | Progress: (20/20) | 44.49 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+
[Task 25/25] Current/Best: 6.87/ 6.87 GFLOPS | Progress: (4/20) | 3.95 s
[Task 25/25] Current/Best: 8.68/ 8.68 GFLOPS | Progress: (8/20) | 14.88 s
[Task 25/25] Current/Best: 7.81/ 8.68 GFLOPS | Progress: (12/20) | 19.27 s
[Task 25/25] Current/Best: 5.94/ 8.68 GFLOPS | Progress: (16/20) | 30.20 s
[Task 25/25] Current/Best: 5.57/ 8.86 GFLOPS | Progress: (20/20) | 41.63 s
@@ -665,8 +665,8 @@ 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
@@ -723,8 +723,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 396.8737076900061, 'median': 396.47665980000966, 'std': 2.48934903383971}
- unoptimized: {'mean': 506.7425502299966, 'median': 506.654013650018, 'std': 2.2001279636525695}
+ optimized: {'mean': 417.5030444500044, 'median': 416.4433565000081, 'std': 2.7551128541673027}
+ unoptimized: {'mean': 510.0786643299977, 'median': 510.2044242999966, 'std': 2.1323562065805746}
@@ -747,7 +747,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 11 minutes 33.956 seconds)
+ **Total running time of the script:** ( 11 minutes 56.222 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 f89488133e..9157735847 100644
--- a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
@@ -274,7 +274,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.205e-07 secs/op
+ 1.273e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index d862412450..32f0d28a52 100644
--- a/docs/_sources/tutorial/intro_topi.rst.txt
+++ b/docs/_sources/tutorial/intro_topi.rst.txt
@@ -268,7 +268,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, placeholder(a, 0xe3c5620)), stage(b, placeholder(b, 0x212b2fb0)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[a[ax0, ax1, ax2] * b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T. [...]
+ [stage(a, placeholder(a, 0xc7ee520)), stage(b, placeholder(b, 0x2029e960)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[a[ax0, ax1, ax2] * b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T. [...]
diff --git a/docs/_sources/tutorial/sg_execution_times.rst.txt b/docs/_sources/tutorial/sg_execution_times.rst.txt
index 2f13f47690..bba4376c07 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
=================
-**14:51.732** total execution time for **tutorial** files:
+**15:24.596** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 11:33.956 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 11:56.222 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:22.056 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:22.753 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:58.367 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 01:00.763 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:34.483 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:34.823 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:20.950 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:27.678 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.941 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:01.364 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.811 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.833 | 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_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.159 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_uma.py` (``uma.py``) | 00:00.000 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``) | 00:00.000 | 0.0 MB |
-+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``) | 00:00.000 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``) | 00:00.000 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``) | 00:00.000 | 0.0 MB |
++------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_install.py` (``install.py``) | 00:00.000 | 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 b1f6e6a839..93eb0ff547 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -285,8 +285,8 @@ helper function to run a profile of the TVM generated code.
.. code-block:: none
- Numpy running time: 0.000005
- naive: 0.000006
+ Numpy running time: 0.000007
+ naive: 0.000008
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
.. code-block:: none
- parallel: 0.000006
+ parallel: 0.000008
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000024
+ vector: 0.000025
@I.ir_module
class Module:
@T.prim_func
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 5.160529999557184e-06 1.0
- naive 5.8028e-06 1.1244581468372294
- parallel 5.860400000000001e-06 1.1356197910879058
- vector 2.44884e-05 4.745326546323984
+ numpy 6.761780000488216e-06 1.0
+ naive 7.8529e-06 1.1613657941300963
+ parallel 7.848e-06 1.1606411328723143
+ vector 2.45403e-05 3.6292662580308934
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.014464
+ Numpy running time: 0.017759
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.282071
+ none: 3.425269
@@ -1077,7 +1077,7 @@ schedule.
.. code-block:: none
- blocking: 0.299850
+ blocking: 0.287472
@@ -1158,7 +1158,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.330219
+ vectorization: 0.324034
@I.ir_module
class Module:
@T.prim_func
@@ -1221,7 +1221,7 @@ more cache friendly.
.. code-block:: none
- loop permutation: 0.111399
+ loop permutation: 0.116161
@I.ir_module
class Module:
@T.prim_func
@@ -1309,7 +1309,7 @@ optimized schedule.
.. code-block:: none
- array packing: 0.106267
+ array packing: 0.109277
@I.ir_module
class Module:
@T.prim_func
@@ -1389,7 +1389,7 @@ to `C` when all the block results are ready.
.. code-block:: none
- block caching: 0.099431
+ block caching: 0.111031
@I.ir_module
class Module:
@T.prim_func
@@ -1460,7 +1460,7 @@ of thread-level parallelization.
.. code-block:: none
- parallelization: 0.130449
+ parallelization: 0.146142
@I.ir_module
class Module:
@T.prim_func
@@ -1527,13 +1527,13 @@ working, we can compare the results.
.. code-block:: none
Operator Timing Performance
- none 3.2820714408000002 1.0
- blocking 0.2998499887 0.09135998228817103
- vectorization 0.3302191487 0.10061302889236
- loop permutation 0.11139917170000002 0.03394172665322807
- array packing 0.1062667635 0.032377955634657854
- block caching 0.0994307041 0.030295106579326596
- parallelization 0.1304491098 0.03974596901772595
+ none 3.4252686486000004 1.0
+ blocking 0.28747152930000003 0.08392671022096249
+ vectorization 0.32403417279999996 0.09460109732777937
+ loop permutation 0.1161610273 0.03391296835869448
+ array packing 0.109276615 0.03190307862265469
+ block caching 0.11103101209999999 0.03241527117745388
+ parallelization 0.1461416915 0.042665760409692846
@@ -1573,6 +1573,11 @@ operations with tunable parameters that allows you to automatically optimize
the computation for specific platforms.
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 0.763 seconds)
+
+
.. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
.. only:: html
diff --git a/docs/commit_hash b/docs/commit_hash
index 9339dbf5ed..d869fc1e79 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-35a66f69e1b2f41ff44af41e379de849bff27250
+1bc6dd40c2251e632a3ce4e68b9180978aca4ac4
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 62b40e0bf3..a728922ef5 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -585,7 +585,7 @@ 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 13.230 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.447 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 c7c7d5957b..7051ab2299 100644
--- a/docs/how_to/compile_models/from_keras.html
+++ b/docs/how_to/compile_models/from_keras.html
@@ -506,7 +506,7 @@ Tensorflow is also required since it’s used as the default backend of keras.</
<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 915ms/step
+1/1 [==============================] - 1s 959ms/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 4f11b887f2..e0f282d122 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -439,7 +439,7 @@
<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.zip838bbabd-0180-4f1a-a0aa-060ee27c0473 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.zip9b5cc5f4-91fb-4fde-8880-c79b857dba2c 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 baa09a8ed7..ed9bb81e1e 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -449,14 +449,10 @@ 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
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</pre></div>
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diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index c27693e8b0..34416be145 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -432,11 +432,11 @@ be unstable.</p>
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index cd914b93cc..401da460ed 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -649,7 +649,7 @@ 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 18.529 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 18.466 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 7ce4df0408..bc528f76b6 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>06:07.082</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:07.243</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -349,43 +349,43 @@
</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>01:18.529</p></td>
+<td><p>01:18.466</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>01:13.230</p></td>
+<td><p>01:12.447</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>00:49.618</p></td>
+<td><p>00:50.613</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>00:34.329</p></td>
+<td><p>00:34.331</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>00:29.898</p></td>
+<td><p>00:29.690</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:29.085</p></td>
+<td><p>00:29.100</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:26.684</p></td>
+<td><p>00:26.481</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>00:24.003</p></td>
+<td><p>00:24.134</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>00:19.168</p></td>
+<td><p>00:19.446</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>00:02.537</p></td>
+<td><p>00:02.534</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno.html b/docs/how_to/deploy_models/deploy_model_on_adreno.html
index 6ee15095e2..e684d8e0ef 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -920,7 +920,7 @@ Top5 predictions:
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 2644.1373 2642.7018 2651.1663 2641.1535 3.1790
+ 2545.2906 2544.8195 2549.4633 2544.1715 1.4478
</pre></div>
</div>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-model-on-adreno-py">
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 3ed6c84c6d..ca2f53b716 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -662,7 +662,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 14.5138 14.3758 15.1060 14.1449 0.3479
+ 15.9776 15.7680 16.6149 15.5034 0.4585
</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 7f271eb020..316e87b131 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -454,31 +454,21 @@ be unstable.</p>
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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/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torch/nn/functional.py:3897: 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)
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:124: 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=& [...]
@@ -576,7 +566,7 @@ torchvision rcnn models.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Get 9 valid boxes
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 14.844 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 19.710 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 99b5d7959a..a78253e3f0 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -495,8 +495,7 @@ training. Other models require a full post training calibration.</p>
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>
@@ -587,7 +586,7 @@ 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)
- 87.8299 87.7591 90.9274 87.4078 0.4231
+ 90.1042 90.0770 90.8171 89.8795 0.1535
</pre></div>
</div>
<div class="admonition note">
@@ -626,7 +625,7 @@ 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 9.809 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 11.129 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 469a5be991..9274ab2f9d 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -580,7 +580,7 @@ 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)
- 115.8371 115.6378 119.7660 114.7599 0.7118
+ 118.1637 118.1807 120.2154 116.4329 0.7943
</pre></div>
</div>
<div class="admonition note">
@@ -608,7 +608,7 @@ 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> ( 2 minutes 27.167 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 31.432 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 fafabcbd1e..b50c8e42f9 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -521,7 +521,7 @@ 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 34.467 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 18.289 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 b980258fcc..ed49b78713 100644
--- a/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
+++ b/docs/how_to/deploy_models/deploy_ssd_gluoncv.html
@@ -463,22 +463,23 @@ 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
@@ -517,7 +518,7 @@ 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> ( 3 minutes 21.774 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> ( 3 minutes 25.327 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 a99f623abb..e075d867f5 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>14:12.861</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>14:11.486</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
@@ -349,39 +349,39 @@
</colgroup>
<tbody>
<tr class="row-odd"><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>03:21.774</p></td>
+<td><p>03:25.327</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>03:14.844</p></td>
+<td><p>03:19.710</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>02:27.167</p></td>
+<td><p>02:31.432</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>01:34.467</p></td>
+<td><p>01:18.289</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>01:09.809</p></td>
+<td><p>01:11.129</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>00:53.568</p></td>
+<td><p>00:52.846</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:38.279</p></td>
+<td><p>00:38.840</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:26.591</p></td>
+<td><p>00:27.089</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:26.354</p></td>
+<td><p>00:26.819</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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 7d732e37e3..bcb7c78a2a 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -619,7 +619,7 @@ 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.zip1894251e-7ee7-49a0-997e-041a5f26fbd9 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.zipa441e209-5eeb-42af-b10c-1f1d155b1491 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 628ccd393e..f67bd1a9e9 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>00:50.655</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:50.947</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -349,15 +349,15 @@
</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>00:46.977</p></td>
+<td><p>00:47.337</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>00:02.650</p></td>
+<td><p>00:02.570</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>00:01.021</p></td>
+<td><p>00:01.034</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 edaf0e5009..5245d0482d 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -526,10 +526,10 @@ 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: 17948us [17948us] (48.93%; 48.93%)
-FoldScaleAxis: 18736us [7us] (51.07%; 51.07%)
- FoldConstant: 18729us [1650us] (51.05%; 99.96%)
- InferType: 17079us [17079us] (46.56%; 91.19%)
+InferType: 18974us [18974us] (49.05%; 49.05%)
+FoldScaleAxis: 19712us [8us] (50.95%; 50.95%)
+ FoldConstant: 19704us [1840us] (50.93%; 99.96%)
+ InferType: 17865us [17865us] (46.18%; 90.66%)
</pre></div>
</div>
</div>
@@ -551,10 +551,10 @@ 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: 17147us [17147us] (48.02%; 48.02%)
-FoldScaleAxis: 18560us [5us] (51.98%; 51.98%)
- FoldConstant: 18556us [1596us] (51.97%; 99.98%)
- InferType: 16960us [16960us] (47.50%; 91.40%)
+InferType: 17833us [17833us] (47.87%; 47.87%)
+FoldScaleAxis: 19423us [5us] (52.13%; 52.13%)
+ FoldConstant: 19418us [1706us] (52.12%; 99.97%)
+ InferType: 17712us [17712us] (47.54%; 91.21%)
</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 b973e2816e..ea80c23bbf 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -575,7 +575,7 @@ 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: 52.057407 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 54.197311 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 9b68d95b81..a84c3d5cf0 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -861,7 +861,7 @@ 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: 13.313597 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 6.833782 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 42527b260c..a7043c76d6 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -472,8 +472,8 @@ 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: 0.015084
-Baseline: 3.370751
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017762
+Baseline: 3.507148
</pre></div>
</div>
<p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -529,7 +529,7 @@ 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: 0.290637
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.300386
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -583,7 +583,7 @@ 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: 0.329233
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.334985
</pre></div>
</div>
<p>Here is the generated IR after vectorization.</p>
@@ -635,7 +635,7 @@ 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: 0.113702
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.114853
</pre></div>
</div>
<p>Here is the generated IR after loop permutation.</p>
@@ -709,7 +709,7 @@ 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: 0.108499
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.109487
</pre></div>
</div>
<p>Here is the generated IR after array packing.</p>
@@ -784,7 +784,7 @@ 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: 0.100125
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.110788
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -861,7 +861,7 @@ class Module:
<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: 0.132327
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.144398
</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 71a2bd72c7..5297931f7e 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>00:33.495</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:34.925</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -349,15 +349,15 @@
</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>00:30.705</p></td>
+<td><p>00:32.363</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>00:01.601</p></td>
+<td><p>00:01.473</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>00:01.190</p></td>
+<td><p>00:01.088</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 157746c991..0926f18ee1 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>09:24.925</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>09:12.340</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -349,27 +349,27 @@
</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>05:39.541</p></td>
+<td><p>05:35.238</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>01:37.605</p></td>
+<td><p>01:37.168</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>01:06.528</p></td>
+<td><p>01:05.047</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>00:34.526</p></td>
+<td><p>00:28.838</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:13.932</p></td>
+<td><p>00:13.508</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:12.793</p></td>
+<td><p>00:12.540</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 7ef7604272..58fc18bb16 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
@@ -1011,7 +1011,7 @@ class Module:
<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: 0.350 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.361 ms
</pre></div>
</div>
</div>
@@ -1574,7 +1574,7 @@ 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> ( 5 minutes 39.541 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 35.238 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 665ec377c0..47c2de2398 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -916,7 +916,7 @@ 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)
- 7.9029 7.9002 7.9123 7.8963 0.0068
+ 7.8660 7.8647 7.8696 7.8637 0.0026
</pre></div>
</div>
</div>
@@ -938,7 +938,7 @@ 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 6.528 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 5.047 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-cuda-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_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_network_cuda.py</span></code></a></p>
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 aad1b03554..6cf9175a64 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -935,7 +935,7 @@ 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)
- 760.2450 762.3287 762.8100 755.5962 3.2931
+ 752.1154 752.1782 755.5035 748.6643 2.7924
</pre></div>
</div>
</div>
@@ -957,7 +957,7 @@ 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 37.605 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 37.168 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 aa816aa0ec..be58703521 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_sparse_x86.html
@@ -629,74 +629,26 @@ class Module:
@T.prim_func
def main(placeholder: T.Buffer((128, 256), "float32"), placeholder_1: T.Buffer((4916, 16, 1), "float32"), placeholder_2: T.Buffer((4916,), "int32"), placeholder_3: T.Buffer((33,), "int32"), placeholder_4: T.Buffer((128, 512), "float32"), compute: T.Buffer((128, 512), "float32")):
T.func_attr({"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True})
- for i0_outer_i1_outer_fused in T.parallel(16):
- compute_1 = T.allocate([4096], "float32", "global")
- compute_2 = T.buffer_decl((4096,), data=compute_1)
- for i_outer_inner, nb_j_inner in T.grid(2, 2):
- for i_inner_init in range(64):
- cse_var_1: T.int32 = i_outer_inner * 2048 + i_inner_init * 32 + nb_j_inner * 16
- compute_2[cse_var_1] = T.float32(0)
- compute_2[cse_var_1 + 1] = T.float32(0)
- compute_2[cse_var_1 + 2] = T.float32(0)
- compute_2[cse_var_1 + 3] = T.float32(0)
- compute_2[cse_var_1 + 4] = T.float32(0)
- compute_2[cse_var_1 + 5] = T.float32(0)
- compute_2[cse_var_1 + 6] = T.float32(0)
- compute_2[cse_var_1 + 7] = T.float32(0)
- compute_2[cse_var_1 + 8] = T.float32(0)
- compute_2[cse_var_1 + 9] = T.float32(0)
- compute_2[cse_var_1 + 10] = T.float32(0)
- compute_2[cse_var_1 + 11] = T.float32(0)
- compute_2[cse_var_1 + 12] = T.float32(0)
- compute_2[cse_var_1 + 13] = T.float32(0)
- compute_2[cse_var_1 + 14] = T.float32(0)
- compute_2[cse_var_1 + 15] = T.float32(0)
- for elem_idx, i_inner in T.grid(T.let(cse_var_2, i0_outer_i1_outer_fused * 2 + nb_j_inner, placeholder_5[cse_var_2 + 1] - placeholder_5[cse_var_2]), 64):
- cse_var_2 = T.var("int32")
+ for i0_outer_i1_outer_fused in T.parallel(32):
+ compute_1 = T.allocate([2048], "float32", "global")
+ compute_2 = T.buffer_decl((2048,), data=compute_1)
+ for i_outer_inner, nb_j_inner in T.grid(4, 2):
+ for i_inner_init, j_init in T.grid(16, 16):
+ compute_2[i_outer_inner * 512 + i_inner_init * 32 + nb_j_inner * 16 + j_init] = T.float32(0)
+ for elem_idx, i_inner, j in T.grid(T.let(cse_var_1, i0_outer_i1_outer_fused % 16 * 2 + nb_j_inner, placeholder_5[cse_var_1 + 1] - placeholder_5[cse_var_1]), 16, 16):
+ cse_var_1 = T.var("int32")
placeholder_5 = T.buffer_decl((33,), "int32", data=placeholder_3.data)
- cse_var_21: T.int32 = elem_idx * 16
- cse_var_20: T.int32 = i0_outer_i1_outer_fused * 2 + nb_j_inner
- cse_var_19: T.int32 = i_outer_inner * 16384 + i_inner * 256
- cse_var_18: T.int32 = i_outer_inner * 2048 + i_inner * 32 + nb_j_inner * 16
- cse_var_17: T.int32 = cse_var_18 + 9
- cse_var_16: T.int32 = cse_var_18 + 8
- cse_var_15: T.int32 = cse_var_18 + 7
- cse_var_14: T.int32 = cse_var_18 + 6
- cse_var_13: T.int32 = cse_var_18 + 5
- cse_var_12: T.int32 = cse_var_18 + 4
- cse_var_11: T.int32 = cse_var_18 + 3
- cse_var_10: T.int32 = cse_var_18 + 2
- cse_var_9: T.int32 = cse_var_18 + 15
- cse_var_8: T.int32 = cse_var_18 + 14
- cse_var_7: T.int32 = cse_var_18 + 13
- cse_var_6: T.int32 = cse_var_18 + 12
- cse_var_5: T.int32 = cse_var_18 + 11
- cse_var_4: T.int32 = cse_var_18 + 10
- cse_var_3: T.int32 = cse_var_18 + 1
+ cse_var_3: T.int32 = i0_outer_i1_outer_fused % 16 * 2 + nb_j_inner
+ cse_var_2: T.int32 = i_outer_inner * 512 + i_inner * 32 + nb_j_inner * 16 + j
placeholder_6 = T.buffer_decl((78656,), data=placeholder_1.data)
placeholder_7 = T.buffer_decl((32768,), data=placeholder.data)
placeholder_8 = T.buffer_decl((4916,), "int32", data=placeholder_2.data)
- compute_2[cse_var_18] = compute_2[cse_var_18] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_3] = compute_2[cse_var_3] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 1] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_10] = compute_2[cse_var_10] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 2] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_11] = compute_2[cse_var_11] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 3] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_12] = compute_2[cse_var_12] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 4] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_13] = compute_2[cse_var_13] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 5] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_14] = compute_2[cse_var_14] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 6] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_15] = compute_2[cse_var_15] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 7] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_16] = compute_2[cse_var_16] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 8] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_17] = compute_2[cse_var_17] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 9] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_4] = compute_2[cse_var_4] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 10] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_5] = compute_2[cse_var_5] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 11] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_6] = compute_2[cse_var_6] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 12] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_7] = compute_2[cse_var_7] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 13] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_8] = compute_2[cse_var_8] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 14] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- compute_2[cse_var_9] = compute_2[cse_var_9] + placeholder_6[placeholder_5[cse_var_20] * 16 + cse_var_21 + 15] * T.max(placeholder_7[cse_var_19 + placeholder_8[placeholder_5[cse_var_20] + elem_idx]], T.float32(0))
- for i0_inner, i1_inner in T.grid(128, 32):
- cse_var_22: T.int32 = i0_inner * 512 + i0_outer_i1_outer_fused * 32 + i1_inner
+ compute_2[cse_var_2] = compute_2[cse_var_2] + placeholder_6[placeholder_5[cse_var_3] * 16 + elem_idx * 16 + j] * T.max(placeholder_7[i0_outer_i1_outer_fused // 16 * 16384 + i_outer_inner * 4096 + i_inner * 256 + placeholder_8[placeholder_5[cse_var_3] + elem_idx]], T.float32(0))
+ for i0_inner in range(64):
+ cse_var_4: T.int32 = i0_outer_i1_outer_fused // 16 * 32768 + i0_inner * 512 + i0_outer_i1_outer_fused % 16 * 32
compute_3 = T.buffer_decl((65536,), data=compute.data)
placeholder_5 = T.buffer_decl((65536,), data=placeholder_4.data)
- compute_3[cse_var_22] = T.max(compute_2[i0_inner * 32 + i1_inner] + placeholder_5[cse_var_22], T.float32(0))
+ compute_3[cse_var_4:cse_var_4 + 32] = T.max(compute_2[i0_inner * 32:i0_inner * 32 + 32] + placeholder_5[cse_var_4:cse_var_4 + 32], T.Broadcast(T.float32(0), 32))
</pre></div>
</div>
</div>
@@ -730,7 +682,7 @@ class Module:
<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: 1.865 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 1.504 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 261d83deba..08cf03b3ff 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>00:40.160</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:29.883</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -349,7 +349,7 @@
</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>00:40.127</p></td>
+<td><p>00:29.851</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>
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 d6779796f4..57bf0125a5 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -690,7 +690,7 @@ 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 875, 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, 64]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6548069
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 8, 8]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1348756
No: 2 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
@@ -813,9 +813,8 @@ 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 875, 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, 256, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,955732
-No: 3 GFLOPS: 0.89/0.89 result: MeasureResult(costs=(0.26042663549999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=9.621100187301636, timestamp=1674506680.363243) [('tile_f', [-1, 1, 2, 128]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,4163713
-No: 4 GFLOPS: 0.00/0.89 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 4, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 256, 1]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9708676
+No: 3 GFLOPS: 0.00/0.00 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -937,9 +936,10 @@ 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 875, 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, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 128, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7255657
-No: 5 GFLOPS: 14.80/14.80 result: MeasureResult(costs=(0.015640404555555557,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.547365665435791, timestamp=1674506684.110485) [('tile_f', [-1, 16, 1, 1]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7646324
-No: 6 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 2, 32]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 128]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,367811
+No: 4 GFLOPS: 7.15/7.15 result: MeasureResult(costs=(0.0323805845,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4197022914886475, timestamp=1674513805.5752122) [('tile_f', [-1, 1, 4, 8]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6515009
+No: 5 GFLOPS: 96.50/96.50 result: MeasureResult(costs=(0.002399077261904762,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.259687900543213, timestamp=1674513808.2390378) [('tile_f', [-1, 1, 2, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6046324
+No: 6 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1061,8 +1061,9 @@ 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 875, 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, 1, 7, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,3454641
-No: 7 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 8, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 2, 256]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10063100
+No: 7 GFLOPS: 1.97/96.50 result: MeasureResult(costs=(0.11765058125,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.502441883087158, timestamp=1674513811.1122339) [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,234405
+No: 8 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1184,8 +1185,8 @@ 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 875, 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, 128, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6744589
-No: 8 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 1, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 32, 16]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5946922
+No: 9 GFLOPS: 0.00/96.50 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1307,8 +1308,11 @@ 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 875, 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, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10173325
-No: 9 GFLOPS: 0.00/14.80 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6853262
+No: 10 GFLOPS: 123.51/123.51 result: MeasureResult(costs=(0.0018743788705882353,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8191518783569336, timestamp=1674513813.335441) [('tile_f', [-1, 4, 8, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1162603
+No: 11 GFLOPS: 559.47/559.47 result: MeasureResult(costs=(0.00041378937371134016,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.011948585510254, timestamp=1674513814.3352637) [('tile_f', [-1, 1, 32, 1]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9928860
+No: 12 GFLOPS: 877.34/877.34 result: MeasureResult(costs=(0.00026386789949748744,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7633612155914307, timestamp=1674513815.0643272) [('tile_f', [-1, 2, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10333465
+No: 13 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1430,9 +1434,8 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 8, 8, 2]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 8, 32]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10414222
-No: 10 GFLOPS: 92.01/92.01 result: MeasureResult(costs=(0.002515918093023256,), error_no=MeasureErrorNo.NO_ERROR, all_cost=7.519283056259155, timestamp=1674506693.8013742) [('tile_f', [-1, 16, 4, 1]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9780563
-No: 11 GFLOPS: 0.00/92.01 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, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6056774
+No: 14 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1554,8 +1557,8 @@ 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 875, 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, 16, 8]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 4, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3651059
-No: 12 GFLOPS: 0.00/92.01 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 16, 8, 4]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2343345
+No: 15 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1677,8 +1680,8 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 2, 128]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7145760
-No: 13 GFLOPS: 0.00/92.01 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 256, 1, 1]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,5153728
+No: 16 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1800,9 +1803,8 @@ 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 875, 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, 32, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 2]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,7206482
-No: 14 GFLOPS: 296.57/296.57 result: MeasureResult(costs=(0.0007805909333333334,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.138368844985962, timestamp=1674506695.1737492) [('tile_f', [-1, 1, 8, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5739481
-No: 15 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 128, 1, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,1901302
+No: 17 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -1924,8 +1926,8 @@ 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 875, 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, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 4, 8]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 0)],None,3783463
-No: 16 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 1, 64, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,695363
+No: 18 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -2047,8 +2049,9 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 32, 1, 4]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 32, 8]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,1082945
-No: 17 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 2, 1, 32]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 1, 64]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 3, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 0)],None,933866
+No: 19 GFLOPS: 16.46/877.34 result: MeasureResult(costs=(0.01406467625,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1628198623657227, timestamp=1674513816.5768745) [('tile_f', [-1, 1, 4, 8]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 64, 1]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 0)],None,2925269
+No: 20 GFLOPS: 0.00/877.34 result: Traceback (most recent call last):
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, in _build_func_common
@@ -2170,376 +2173,7 @@ 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 875, in verify_pass
raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 64, 1, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 1, 1, 1]), ('tile_rc', [-1, 8, 2]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9145286
-No: 18 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, in verify_pass
- raise InstantiationError("Skipped because of invalid gpu kernel")
-tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 16, 4]), ('tile_y', [-1, 1, 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', 1500), ('unroll_explicit', 1)],None,9186888
-No: 19 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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, 256, 2]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 3, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 512), ('unroll_explicit', 1)],None,8397059
-No: 20 GFLOPS: 0.00/296.57 result: Traceback (most recent call last):
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 592, in __call__
- func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
- File "/workspace/python/tvm/autotvm/measure/measure_methods.py", line 544, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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:1730
- 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:1670
- 19: run<>
- at ../include/tvm/runtime/packed_func.h:1630
- 18: run<tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 17: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 16: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 15: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1630
- 14: run<tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_, tvm::runtime::TVMMovableArgValueWithContext_>
- at ../include/tvm/runtime/packed_func.h:1645
- 13: operator()
- at ../src/driver/driver_api.cc:395
- 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:381
- 11: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
- at ../src/driver/driver_api.cc:276
- 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:451
- 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:1749
- 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:1693
- 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:1617
- 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 875, 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, 256, 2]), ('tile_y', [-1, 1, 1, 7]), ('tile_x', [-1, 1, 1, 7]), ('tile_rc', [-1, 32, 2]), ('tile_ry', [-1, 1, 1]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,6444999
+tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel [('tile_f', [-1, 4, 2, 4]), ('tile_y', [-1, 7, 1, 1]), ('tile_x', [-1, 7, 1, 1]), ('tile_rc', [-1, 4, 128]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,9279930
</pre></div>
</div>
<p>Finally we can inspect the best config from log file, check correctness,
@@ -2578,9 +2212,9 @@ 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, 4]), ('tile_y', [-1, 1, 1, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 16]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 1]), ('auto_unroll_max_step', 0), ('unroll_explicit', 1)],None,5739481
+[('tile_f', [-1, 2, 2, 2]), ('tile_y', [-1, 1, 7, 1]), ('tile_x', [-1, 1, 7, 1]), ('tile_rc', [-1, 2, 4]), ('tile_ry', [-1, 1, 3]), ('tile_rx', [-1, 1, 3]), ('auto_unroll_max_step', 1500), ('unroll_explicit', 1)],None,10333465
Finish loading 20 records
-Time cost of this operator: 0.001109
+Time cost of this operator: 0.000541
</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 5190d08e3c..e3b6f8d53c 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -647,10 +647,10 @@ 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 311.7 98.707 (1, 2, 10, 10, 3) 2 1 [311.7]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.108 0.984 (1, 6, 10, 10) 1 1 [3.108]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.975 0.309 (1, 1, 10, 10, 3) 1 1 [0.975]
-Total_time - 315.783 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 312.5 98.738 (1, 2, 10, 10, 3) 2 1 [312.5]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.021 0.955 (1, 6, 10, 10) 1 1 [3.021]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.974 0.308 (1, 1, 10, 10, 3) 1 1 [0.974]
+Total_time - 316.495 - - - - -
</pre></div>
</div>
</div>
@@ -702,10 +702,10 @@ 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 100.8 97.323 (1, 6, 10, 10, 1) 2 1 [100.8]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.795 1.733 (1, 6, 10, 10) 1 1 [1.795]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.978 0.944 (1, 1, 10, 10, 3) 1 1 [0.978]
-Total_time - 103.573 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.4 97.408 (1, 6, 10, 10, 1) 2 1 [102.4]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.769 1.682 (1, 6, 10, 10) 1 1 [1.769]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.956 0.91 (1, 1, 10, 10, 3) 1 1 [0.956]
+Total_time - 105.125 - - - - -
</pre></div>
</div>
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diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index 99094713bb..3b02c33a70 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -454,7 +454,7 @@ download a cat image and preprocess it to use as the model input.</p>
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
0%| | 0.00/3.42M [00:00<?, ?B/s]
-100%|##########| 3.42M/3.42M [00:00<00:00, 64.7MB/s]
+100%|##########| 3.42M/3.42M [00:00<00:00, 131MB/s]
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
return LooseVersion(torch_ver) > ver
/venv/apache-tvm-py3.7/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -578,7 +578,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
Torch top-1 id: 282, class name: tiger cat
</pre></div>
</div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 7.563 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-pytorch-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/12b9ecc04c41abaa12022061771821d1/micro_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">micro_pytorch.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_train.html b/docs/how_to/work_with_microtvm/micro_train.html
index bc0777a0d7..2440941a97 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -524,7 +524,7 @@ 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/tmpumlk8hbn/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmp64et68e_/images/random'
</pre></div>
</div>
</div>
@@ -584,8 +584,8 @@ 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>
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-/tmp/tmpumlk8hbn/images/random contains 5000 images
+<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], [0.0, 1.0], [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/tmp64et68e_/images/target contains 8144 images
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</pre></div>
</div>
</div>
@@ -697,13 +697,13 @@ 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: 0.2076 - accuracy: 0.9283 - val_loss: 0.2454 - val_accuracy: 0.9309 - 47s/epoch - 145ms/step
+328/328 - 47s - loss: 0.2592 - accuracy: 0.9130 - val_loss: 0.2900 - val_accuracy: 0.9037 - 47s/epoch - 143ms/step
Epoch 2/3
-328/328 - 41s - loss: 0.0938 - accuracy: 0.9657 - val_loss: 0.1286 - val_accuracy: 0.9569 - 41s/epoch - 125ms/step
+328/328 - 43s - loss: 0.1075 - accuracy: 0.9605 - val_loss: 0.1097 - val_accuracy: 0.9573 - 43s/epoch - 132ms/step
Epoch 3/3
-328/328 - 41s - loss: 0.0656 - accuracy: 0.9751 - val_loss: 0.1139 - val_accuracy: 0.9656 - 41s/epoch - 125ms/step
+328/328 - 43s - loss: 0.0740 - accuracy: 0.9728 - val_loss: 0.1193 - val_accuracy: 0.9585 - 43s/epoch - 131ms/step
-<keras.callbacks.History object at 0x7ff924610410>
+<keras.callbacks.History object at 0x7efecb4f6290>
</pre></div>
</div>
</div>
@@ -963,7 +963,7 @@ 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>
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<div class="section" id="computation-times">
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+<tr class="row-even"><td><p><a class="reference internal" href="micro_tvmc.html#sphx-glr-how-to-work-with-microtvm-micro-tvmc-py"><span class="std std-ref">Executing a Tiny Model with TVMC Micro</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tvmc.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0 MB</p></td>
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-<tr class="row-odd"><td><p><a class="reference internal" href="micro_tvmc.html#sphx-glr-how-to-work-with-microtvm-micro-tvmc-py"><span class="std std-ref">Executing a Tiny Model with TVMC Micro</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tvmc.py</span></code>)</p></td>
+<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>
<td><p>00:00.000</p></td>
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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 81851d3561..009f0a5e98 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -340,7 +340,7 @@
<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>
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<table class="docutils align-default">
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<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>
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diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 1aeef740b5..545cf748b6 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -535,7 +535,7 @@ 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>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7efcfd7ea680>
</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 99e48a796e..eccbcbf425 100644
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@@ -340,7 +340,7 @@
<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>
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<table class="docutils align-default">
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<col style="width: 83%" />
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<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>
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<td><p>0.0 MB</p></td>
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--- a/docs/how_to/work_with_schedules/tensorize.html
+++ b/docs/how_to/work_with_schedules/tensorize.html
@@ -574,7 +574,7 @@ class Module:
def main(A: T.Buffer((1024, 64), "float32"), B: T.Buffer((512, 64), "float32"), C: T.Buffer((1024, 512), "float32")):
T.func_attr({"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True})
i = T.var("int32")
- T.attr(T.iter_var(i, None, "DataPar", ""), "pragma_import_llvm", "; ModuleID = '/tmp/tmpkb80b9a7/input0.cc'\nsource_filename = \"/tmp/tmpkb80b9a7/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 [...]
+ T.attr(T.iter_var(i, None, "DataPar", ""), "pragma_import_llvm", "; ModuleID = '/tmp/tmptb0aihq4/input0.cc'\nsource_filename = \"/tmp/tmptb0aihq4/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 [...]
for i, j_outer in T.grid(1024, 32):
T.call_extern("int32", "gemv_update", T.tvm_access_ptr(T.type_annotation("float32"), C.data, i * 512 + j_outer * 16, 16, 2), T.tvm_access_ptr(T.type_annotation("float32"), A.data, i * 64, 64, 1), T.tvm_access_ptr(T.type_annotation("float32"), B.data, j_outer * 1024, 1024, 1), 16, 64, 64)
</pre></div>
diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc.html b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc.html
index 06d5e3e29d..6dc8c9d57f 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc.html
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc.html
@@ -78,7 +78,7 @@ $(function() {
<div class="dynheader">
Inheritance diagram for tvm::script::printer::Doc:</div>
<div class="dyncontent">
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+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1script_1_1printer_1_1Doc__inherit__graph.svg" width="4894" height="934"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
<div class="dynheader">
diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc__inherit__graph.svg b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc__inherit__graph.svg
index c6a0b70db3..8174258635 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc__inherit__graph.svg
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1Doc__inherit__graph.svg
@@ -4,324 +4,323 @@
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-->
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+ viewBox="0.00 0.00 3670.00 700.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<title>tvm::script::printer::Doc</title>
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-<text text-anchor="start" x="1756" y="-382.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
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+<text text-anchor="middle" x="1831" y="-409.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer::Doc</text>
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+<text text-anchor="start" x="1756" y="-360.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1756" y="-349.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="1756" y="-338.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># Doc()</text>
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<title>Node2</title>
<g id="a_node3"><a xlink:href="classtvm_1_1script_1_1printer_1_1ExprDoc.html" target="_top" xlink:title="Reference type of ExprDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="920,-204.5 920,-305.5 1086,-305.5 1086,-204.5 920,-204.5"/>
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-<text text-anchor="start" x="928" y="-244.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
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-<text text-anchor="start" x="928" y="-211.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># ExprDoc()</text>
+<polygon fill="#ffffff" stroke="#000000" points="920,-193.5 920,-294.5 1086,-294.5 1086,-193.5 920,-193.5"/>
+<text text-anchor="start" x="928" y="-282.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1003" y="-271.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::ExprDoc</text>
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+<text text-anchor="middle" x="1003" y="-252.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="920,-245.5 1086,-245.5 "/>
+<text text-anchor="start" x="928" y="-233.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
+<text text-anchor="start" x="928" y="-222.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="928" y="-211.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="928" y="-200.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># ExprDoc()</text>
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<title>Node0->Node2</title>
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<g id="node14" class="node">
<title>Node13</title>
<g id="a_node14"><a xlink:href="classtvm_1_1script_1_1printer_1_1SliceDoc.html" target="_top" xlink:title="Reference type of SliceDocNode. ">
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-<text text-anchor="start" x="1664" y="-239" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ SliceDoc()</text>
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+<text text-anchor="middle" x="1739" y="-247" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1656,-240 1822,-240 "/>
+<text text-anchor="start" x="1664" y="-228" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ SliceDoc()</text>
+<text text-anchor="start" x="1664" y="-217" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1664" y="-206" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<title>Node0->Node13</title>
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<g id="node15" class="node">
<title>Node14</title>
<g id="a_node15"><a xlink:href="classtvm_1_1script_1_1printer_1_1StmtBlockDoc.html" target="_top" xlink:title="Reference type of StmtBlockDocNode. ">
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-<text text-anchor="start" x="1848" y="-239" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ StmtBlockDoc()</text>
-<text text-anchor="start" x="1848" y="-228" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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+<text text-anchor="start" x="1848" y="-277" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1923" y="-266" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::StmtBlockDoc</text>
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+<polyline fill="none" stroke="#000000" points="1840,-240 2006,-240 "/>
+<text text-anchor="start" x="1848" y="-228" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ StmtBlockDoc()</text>
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<title>Node15</title>
<g id="a_node16"><a xlink:href="classtvm_1_1script_1_1printer_1_1StmtDoc.html" target="_top" xlink:title="Reference type of StmtDocNode. ">
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-<text text-anchor="start" x="2584" y="-217" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># StmtDoc()</text>
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+<text text-anchor="start" x="2584" y="-277" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="2659" y="-266" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::StmtDoc</text>
+<polyline fill="none" stroke="#000000" points="2576,-259 2742,-259 "/>
+<text text-anchor="middle" x="2659" y="-247" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="2576,-240 2742,-240 "/>
+<text text-anchor="start" x="2584" y="-228" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="2584" y="-217" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="2584" y="-206" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># StmtDoc()</text>
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<title>Node1</title>
<g id="a_node2"><a xlink:href="classtvm_1_1runtime_1_1ObjectRef.html" target="_top" xlink:title="Base class of all object reference. ">
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-<text text-anchor="start" x="1772" y="-641.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
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+<text text-anchor="middle" x="1831" y="-679.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
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+<text text-anchor="start" x="1772" y="-660.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
+<text text-anchor="start" x="1772" y="-649.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># data_</text>
+<polyline fill="none" stroke="#000000" points="1764,-642.5 1898,-642.5 "/>
<text text-anchor="start" x="1772" y="-630.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
-<text text-anchor="start" x="1772" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
-<text text-anchor="start" x="1772" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
-<text text-anchor="start" x="1772" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
-<text text-anchor="start" x="1772" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
-<text text-anchor="start" x="1772" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
-<text text-anchor="start" x="1772" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
-<text text-anchor="start" x="1772" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
-<text text-anchor="start" x="1772" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
-<text text-anchor="start" x="1772" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
-<text text-anchor="start" x="1772" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
-<text text-anchor="start" x="1772" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
-<text text-anchor="start" x="1772" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
-<text text-anchor="start" x="1772" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
-<text text-anchor="start" x="1772" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
+<text text-anchor="start" x="1772" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<text text-anchor="start" x="1772" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
+<text text-anchor="start" x="1772" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
+<text text-anchor="start" x="1772" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
+<text text-anchor="start" x="1772" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
+<text text-anchor="start" x="1772" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
+<text text-anchor="start" x="1772" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
+<text text-anchor="start" x="1772" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
+<text text-anchor="start" x="1772" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
+<text text-anchor="start" x="1772" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
+<text text-anchor="start" x="1772" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
+<text text-anchor="start" x="1772" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
+<text text-anchor="start" x="1772" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
+<text text-anchor="start" x="1772" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
+<text text-anchor="start" x="1772" y="-465.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
</a>
</g>
</g>
<!-- Node1->Node0 -->
<g id="edge1" class="edge">
<title>Node1->Node0</title>
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-<polygon fill="none" stroke="#191970" points="1827.5001,-459.3835 1831,-469.3836 1834.5001,-459.3836 1827.5001,-459.3835"/>
+<path fill="none" stroke="#191970" d="M1831,-448.1315C1831,-438.7956 1831,-429.8139 1831,-421.5544"/>
+<polygon fill="none" stroke="#191970" points="1827.5001,-448.3835 1831,-458.3836 1834.5001,-448.3836 1827.5001,-448.3835"/>
</g>
<!-- Node3 -->
<g id="node4" class="node">
<title>Node3</title>
<g id="a_node4"><a xlink:href="classtvm_1_1script_1_1printer_1_1AttrAccessDoc.html" target="_top" xlink:title="Reference type of AttrAccessDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="0,-39 0,-129 166,-129 166,-39 0,-39"/>
-<text text-anchor="start" x="8" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="83" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::AttrAccessDoc</text>
-<polyline fill="none" stroke="#000000" points="0,-99 166,-99 "/>
-<text text-anchor="middle" x="83" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="0,-80 166,-80 "/>
-<text text-anchor="start" x="8" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ AttrAccessDoc()</text>
-<text text-anchor="start" x="8" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="8" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="0,-33.5 0,-123.5 166,-123.5 166,-33.5 0,-33.5"/>
+<text text-anchor="start" x="8" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="83" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::AttrAccessDoc</text>
+<polyline fill="none" stroke="#000000" points="0,-93.5 166,-93.5 "/>
+<text text-anchor="middle" x="83" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-74.5 166,-74.5 "/>
+<text text-anchor="start" x="8" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ AttrAccessDoc()</text>
+<text text-anchor="start" x="8" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
</g>
</g>
<!-- Node2->Node3 -->
<g id="edge3" class="edge">
<title>Node2->Node3</title>
-<path fill="none" stroke="#191970" d="M909.569,-252.4847C721.5237,-246.2429 304.2976,-226.1027 175,-168 155.0747,-159.0461 136.5515,-144.0824 121.4255,-129.2447"/>
-<polygon fill="none" stroke="#191970" points="909.6037,-255.9876 919.7124,-252.8152 909.8318,-248.9913 909.6037,-255.9876"/>
+<path fill="none" stroke="#191970" d="M909.726,-241.1272C721.9715,-234.2235 305.2552,-212.923 175,-157 156.8642,-149.2137 139.6429,-136.5616 125.1096,-123.6667"/>
+<polygon fill="none" stroke="#191970" points="909.7336,-244.6296 919.8537,-241.4937 909.9868,-237.6342 909.7336,-244.6296"/>
</g>
<!-- Node4 -->
<g id="node5" class="node">
<title>Node4</title>
<g id="a_node5"><a xlink:href="classtvm_1_1script_1_1printer_1_1CallDoc.html" target="_top" xlink:title="Reference type of CallDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="184,-39 184,-129 350,-129 350,-39 184,-39"/>
-<text text-anchor="start" x="192" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="267" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::CallDoc</text>
-<polyline fill="none" stroke="#000000" points="184,-99 350,-99 "/>
-<text text-anchor="middle" x="267" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="184,-80 350,-80 "/>
-<text text-anchor="start" x="192" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ CallDoc()</text>
-<text text-anchor="start" x="192" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="192" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="184,-33.5 184,-123.5 350,-123.5 350,-33.5 184,-33.5"/>
+<text text-anchor="start" x="192" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="267" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::CallDoc</text>
+<polyline fill="none" stroke="#000000" points="184,-93.5 350,-93.5 "/>
+<text text-anchor="middle" x="267" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="184,-74.5 350,-74.5 "/>
+<text text-anchor="start" x="192" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ CallDoc()</text>
+<text text-anchor="start" x="192" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="192" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
</g>
</g>
<!-- Node2->Node4 -->
<g id="edge4" class="edge">
<title>Node2->Node4</title>
-<path fill="none" stroke="#191970" d="M909.4885,-249.2336C755.175,-238.5834 454.7329,-212.7337 359,-168 339.4053,-158.8439 321.0809,-144.0236 306.0243,-129.3614"/>
-<polygon fill="none" stroke="#191970" points="909.6746,-252.7544 919.8898,-249.9437 910.1515,-245.7707 909.6746,-252.7544"/>
+<path fill="none" stroke="#191970" d="M909.3461,-237.8632C755.1794,-226.6827 455.4078,-200.0915 359,-157 341.1731,-149.0319 324.157,-136.4932 309.7153,-123.7563"/>
+<polygon fill="none" stroke="#191970" points="909.5131,-241.3842 919.7382,-238.6095 910.0146,-234.4021 909.5131,-241.3842"/>
</g>
<!-- Node5 -->
<g id="node6" class="node">
<title>Node5</title>
<g id="a_node6"><a xlink:href="classtvm_1_1script_1_1printer_1_1DictDoc.html" target="_top" xlink:title="Reference type of DictDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="368,-33.5 368,-134.5 534,-134.5 534,-33.5 368,-33.5"/>
-<text text-anchor="start" x="376" y="-122.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="451" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::DictDoc</text>
-<polyline fill="none" stroke="#000000" points="368,-104.5 534,-104.5 "/>
-<text text-anchor="middle" x="451" y="-92.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="368,-85.5 534,-85.5 "/>
-<text text-anchor="start" x="376" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
-<text text-anchor="start" x="376" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
-<text text-anchor="start" x="376" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="376" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="368,-28 368,-129 534,-129 534,-28 368,-28"/>
+<text text-anchor="start" x="376" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="451" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::DictDoc</text>
+<polyline fill="none" stroke="#000000" points="368,-99 534,-99 "/>
+<text text-anchor="middle" x="451" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="368,-80 534,-80 "/>
+<text text-anchor="start" x="376" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
+<text text-anchor="start" x="376" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
+<text text-anchor="start" x="376" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="376" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
</g>
</g>
<!-- Node2->Node5 -->
<g id="edge5" class="edge">
<title>Node2->Node5</title>
-<path fill="none" stroke="#191970" d="M909.6644,-243.4771C794.4403,-228.2004 605.9869,-199.4778 543,-168 526.3617,-159.685 510.5196,-147.4769 496.8166,-134.9297"/>
-<polygon fill="none" stroke="#191970" points="909.5203,-246.9883 919.8916,-244.8233 910.4339,-240.0482 909.5203,-246.9883"/>
+<path fill="none" stroke="#191970" d="M909.3434,-232.0786C794.2491,-216.4323 606.4177,-187.3729 543,-157 528.2295,-149.9259 513.919,-139.8751 501.1594,-129.3182"/>
+<polygon fill="none" stroke="#191970" points="909.1818,-235.5884 919.5602,-233.4583 910.1186,-228.6514 909.1818,-235.5884"/>
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<!-- Node6 -->
<g id="node7" class="node">
<title>Node6</title>
<g id="a_node7"><a xlink:href="classtvm_1_1script_1_1printer_1_1IdDoc.html" target="_top" xlink:title="Reference type of IdDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="552,-33.5 552,-134.5 718,-134.5 718,-33.5 552,-33.5"/>
-<text text-anchor="start" x="560" y="-122.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="635" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IdDoc</text>
-<polyline fill="none" stroke="#000000" points="552,-104.5 718,-104.5 "/>
-<text text-anchor="middle" x="635" y="-92.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="552,-85.5 718,-85.5 "/>
-<text text-anchor="start" x="560" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
-<text text-anchor="start" x="560" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
-<text text-anchor="start" x="560" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="560" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="552,-28 552,-129 718,-129 718,-28 552,-28"/>
+<text text-anchor="start" x="560" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="635" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IdDoc</text>
+<polyline fill="none" stroke="#000000" points="552,-99 718,-99 "/>
+<text text-anchor="middle" x="635" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="552,-80 718,-80 "/>
+<text text-anchor="start" x="560" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
+<text text-anchor="start" x="560" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
+<text text-anchor="start" x="560" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="560" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
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</g>
<!-- Node2->Node6 -->
<g id="edge6" class="edge">
<title>Node2->Node6</title>
-<path fill="none" stroke="#191970" d="M909.8995,-236.3463C854.3357,-222.6708 783.7758,-200.709 727,-168 711.2578,-158.9308 695.9411,-146.7693 682.4656,-134.5213"/>
-<polygon fill="none" stroke="#191970" points="909.1975,-239.7773 919.7395,-238.7206 910.8394,-232.9726 909.1975,-239.7773"/>
+<path fill="none" stroke="#191970" d="M909.9895,-224.579C854.6117,-210.6512 784.2135,-188.6935 727,-157 713.225,-149.3693 699.6249,-139.4721 687.2795,-129.2912"/>
+<polygon fill="none" stroke="#191970" points="909.2483,-228.0011 919.7958,-227.0013 910.927,-221.2053 909.2483,-228.0011"/>
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<!-- Node7 -->
<g id="node8" class="node">
<title>Node7</title>
<g id="a_node8"><a xlink:href="classtvm_1_1script_1_1printer_1_1IndexDoc.html" target="_top" xlink:title="Reference type of IndexDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="736,-39 736,-129 902,-129 902,-39 736,-39"/>
-<text text-anchor="start" x="744" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="819" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IndexDoc</text>
-<polyline fill="none" stroke="#000000" points="736,-99 902,-99 "/>
-<text text-anchor="middle" x="819" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="736,-80 902,-80 "/>
-<text text-anchor="start" x="744" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IndexDoc()</text>
-<text text-anchor="start" x="744" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="744" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="736,-33.5 736,-123.5 902,-123.5 902,-33.5 736,-33.5"/>
+<text text-anchor="start" x="744" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="819" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IndexDoc</text>
+<polyline fill="none" stroke="#000000" points="736,-93.5 902,-93.5 "/>
+<text text-anchor="middle" x="819" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="736,-74.5 902,-74.5 "/>
+<text text-anchor="start" x="744" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IndexDoc()</text>
+<text text-anchor="start" x="744" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="744" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
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</g>
<!-- Node2->Node7 -->
<g id="edge7" class="edge">
<title>Node2->Node7</title>
-<path fill="none" stroke="#191970" d="M940.6579,-197.0625C916.793,-174.8837 889.9466,-149.934 867.5563,-129.1257"/>
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<title>Node8</title>
<g id="a_node9"><a xlink:href="classtvm_1_1script_1_1printer_1_1LambdaDoc.html" target="_top" xlink:title="Reference type of LambdaDocNode. ">
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-<text text-anchor="start" x="928" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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-<text text-anchor="start" x="928" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ LambdaDoc()</text>
-<text text-anchor="start" x="928" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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+<polygon fill="#ffffff" stroke="#000000" points="920,-33.5 920,-123.5 1086,-123.5 1086,-33.5 920,-33.5"/>
+<text text-anchor="start" x="928" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1003" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LambdaDoc</text>
+<polyline fill="none" stroke="#000000" points="920,-93.5 1086,-93.5 "/>
+<text text-anchor="middle" x="1003" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="920,-74.5 1086,-74.5 "/>
+<text text-anchor="start" x="928" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ LambdaDoc()</text>
+<text text-anchor="start" x="928" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="928" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<!-- Node2->Node8 -->
<g id="edge8" class="edge">
<title>Node2->Node8</title>
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-<polygon fill="none" stroke="#191970" points="999.5001,-194.1573 1003,-204.1573 1006.5001,-194.1574 999.5001,-194.1573"/>
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+<polygon fill="none" stroke="#191970" points="999.5001,-183.4452 1003,-193.4453 1006.5001,-183.4453 999.5001,-183.4452"/>
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<g id="node10" class="node">
<title>Node9</title>
<g id="a_node10"><a xlink:href="classtvm_1_1script_1_1printer_1_1ListDoc.html" target="_top" xlink:title="Reference type of ListDocNode. ">
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-<text text-anchor="start" x="1112" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
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-<text text-anchor="start" x="1112" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="1112" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="1104,-28 1104,-129 1270,-129 1270,-28 1104,-28"/>
+<text text-anchor="start" x="1112" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1187" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::ListDoc</text>
+<polyline fill="none" stroke="#000000" points="1104,-99 1270,-99 "/>
+<text text-anchor="middle" x="1187" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1104,-80 1270,-80 "/>
+<text text-anchor="start" x="1112" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
+<text text-anchor="start" x="1112" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
+<text text-anchor="start" x="1112" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1112" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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-<polygon fill="none" stroke="#191970" points="1062.6504,-194.786 1057.7079,-204.1573 1067.4157,-199.9135 1062.6504,-194.786"/>
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<g id="node11" class="node">
<title>Node10</title>
<g id="a_node11"><a xlink:href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" target="_top" xlink:title="Reference type of LiteralDocNode. ">
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-<text text-anchor="start" x="1296" y="-106.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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-<text text-anchor="start" x="1296" y="-29.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DataType()</text>
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+<polygon fill="#ffffff" stroke="#000000" points="1288,-.5 1288,-156.5 1454,-156.5 1454,-.5 1288,-.5"/>
+<text text-anchor="start" x="1296" y="-144.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1371" y="-133.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LiteralDoc</text>
+<polyline fill="none" stroke="#000000" points="1288,-126.5 1454,-126.5 "/>
+<text text-anchor="middle" x="1371" y="-114.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1288,-107.5 1454,-107.5 "/>
+<text text-anchor="start" x="1296" y="-95.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1296" y="-84.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="1296" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ None()</text>
+<text text-anchor="start" x="1296" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Int()</text>
+<text text-anchor="start" x="1296" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Boolean()</text>
+<text text-anchor="start" x="1296" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Float()</text>
+<text text-anchor="start" x="1296" y="-29.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Str()</text>
+<text text-anchor="start" x="1296" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DataType()</text>
<text text-anchor="start" x="1296" y="-7.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
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<g id="node12" class="node">
<title>Node11</title>
<g id="a_node12"><a xlink:href="classtvm_1_1script_1_1printer_1_1OperationDoc.html" target="_top" xlink:title="Reference type of OperationDocNode. ">
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-<text text-anchor="start" x="1480" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="1555" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::OperationDoc</text>
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-<polyline fill="none" stroke="#000000" points="1472,-80 1638,-80 "/>
-<text text-anchor="start" x="1480" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ OperationDoc()</text>
-<text text-anchor="start" x="1480" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="1480" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="1472,-33.5 1472,-123.5 1638,-123.5 1638,-33.5 1472,-33.5"/>
+<text text-anchor="start" x="1480" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1555" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::OperationDoc</text>
+<polyline fill="none" stroke="#000000" points="1472,-93.5 1638,-93.5 "/>
+<text text-anchor="middle" x="1555" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1472,-74.5 1638,-74.5 "/>
+<text text-anchor="start" x="1480" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ OperationDoc()</text>
+<text text-anchor="start" x="1480" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1480" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<g id="edge11" class="edge">
<title>Node2->Node11</title>
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<g id="node13" class="node">
<title>Node12</title>
<g id="a_node13"><a xlink:href="classtvm_1_1script_1_1printer_1_1TupleDoc.html" target="_top" xlink:title="Reference type of TupleDocNode. ">
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-<text text-anchor="start" x="1664" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
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+<polygon fill="#ffffff" stroke="#000000" points="1656,-28 1656,-129 1822,-129 1822,-28 1656,-28"/>
+<text text-anchor="start" x="1664" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1739" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::TupleDoc</text>
+<polyline fill="none" stroke="#000000" points="1656,-99 1822,-99 "/>
+<text text-anchor="middle" x="1739" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1656,-80 1822,-80 "/>
+<text text-anchor="start" x="1664" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
+<text text-anchor="start" x="1664" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
+<text text-anchor="start" x="1664" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1664" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<title>Node16</title>
<g id="a_node17"><a xlink:href="classtvm_1_1script_1_1printer_1_1AssertDoc.html" target="_top" xlink:title="Reference type of AssertDocNode. ">
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-<text text-anchor="start" x="1848" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ AssertDoc()</text>
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+<text text-anchor="start" x="1848" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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+<polyline fill="none" stroke="#000000" points="1840,-74.5 2006,-74.5 "/>
+<text text-anchor="start" x="1848" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ AssertDoc()</text>
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<g id="a_node18"><a xlink:href="classtvm_1_1script_1_1printer_1_1AssignDoc.html" target="_top" xlink:title="Reference type of AssignDocNode. ">
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<g id="a_node19"><a xlink:href="classtvm_1_1script_1_1printer_1_1ClassDoc.html" target="_top" xlink:title="Reference type of ClassDocNode. ">
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+<text text-anchor="start" x="2216" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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+<text text-anchor="start" x="2216" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ClassDoc()</text>
+<text text-anchor="start" x="2216" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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<g id="a_node20"><a xlink:href="classtvm_1_1script_1_1printer_1_1ExprStmtDoc.html" target="_top" xlink:title="Reference type of ExprStmtDocNode. ">
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+<text text-anchor="start" x="2400" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ExprStmtDoc()</text>
+<text text-anchor="start" x="2400" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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<g id="node21" class="node">
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<g id="a_node21"><a xlink:href="classtvm_1_1script_1_1printer_1_1ForDoc.html" target="_top" xlink:title="Reference type of ForDocNode. ">
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-<text text-anchor="start" x="2584" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ForDoc()</text>
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<g id="node23" class="node">
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<g id="a_node23"><a xlink:href="classtvm_1_1script_1_1printer_1_1IfDoc.html" target="_top" xlink:title="Reference type of IfDocNode. ">
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index 82e655777e..63f9b5fd84 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1ExprDoc.html
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1ExprDoc.html
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Inheritance diagram for tvm::script::printer::ExprDoc:</div>
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diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1ExprDoc__inherit__graph.svg b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1ExprDoc__inherit__graph.svg
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<title>Node5</title>
<g id="a_node6"><a xlink:href="classtvm_1_1script_1_1printer_1_1DictDoc.html" target="_top" xlink:title="Reference type of DictDocNode. ">
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+<text text-anchor="start" x="376" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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+<text text-anchor="start" x="376" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
+<text text-anchor="start" x="376" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DictDoc()</text>
+<text text-anchor="start" x="376" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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<title>Node0->Node5</title>
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<title>Node6</title>
<g id="a_node7"><a xlink:href="classtvm_1_1script_1_1printer_1_1IdDoc.html" target="_top" xlink:title="Reference type of IdDocNode. ">
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-<text text-anchor="start" x="560" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
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+<text text-anchor="start" x="560" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="635" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IdDoc</text>
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+<text text-anchor="middle" x="635" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="552,-80 718,-80 "/>
+<text text-anchor="start" x="560" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
+<text text-anchor="start" x="560" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IdDoc()</text>
+<text text-anchor="start" x="560" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="560" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<title>Node0->Node6</title>
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<title>Node7</title>
<g id="a_node8"><a xlink:href="classtvm_1_1script_1_1printer_1_1IndexDoc.html" target="_top" xlink:title="Reference type of IndexDocNode. ">
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-<text text-anchor="start" x="744" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IndexDoc()</text>
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+<text text-anchor="start" x="744" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="819" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::IndexDoc</text>
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+<text text-anchor="middle" x="819" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="736,-74.5 902,-74.5 "/>
+<text text-anchor="start" x="744" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ IndexDoc()</text>
+<text text-anchor="start" x="744" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="744" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<g id="edge7" class="edge">
<title>Node0->Node7</title>
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<title>Node8</title>
<g id="a_node9"><a xlink:href="classtvm_1_1script_1_1printer_1_1LambdaDoc.html" target="_top" xlink:title="Reference type of LambdaDocNode. ">
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-<text text-anchor="start" x="928" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ LambdaDoc()</text>
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+<text text-anchor="start" x="928" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1003" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LambdaDoc</text>
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+<text text-anchor="middle" x="1003" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="920,-74.5 1086,-74.5 "/>
+<text text-anchor="start" x="928" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ LambdaDoc()</text>
+<text text-anchor="start" x="928" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="928" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<!-- Node0->Node8 -->
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<title>Node0->Node8</title>
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<title>Node9</title>
<g id="a_node10"><a xlink:href="classtvm_1_1script_1_1printer_1_1ListDoc.html" target="_top" xlink:title="Reference type of ListDocNode. ">
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-<text text-anchor="start" x="1112" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
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+<text text-anchor="start" x="1112" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1187" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::ListDoc</text>
+<polyline fill="none" stroke="#000000" points="1104,-99 1270,-99 "/>
+<text text-anchor="middle" x="1187" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1104,-80 1270,-80 "/>
+<text text-anchor="start" x="1112" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
+<text text-anchor="start" x="1112" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ListDoc()</text>
+<text text-anchor="start" x="1112" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1112" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<!-- Node0->Node9 -->
<g id="edge9" class="edge">
<title>Node0->Node9</title>
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<g id="node11" class="node">
<title>Node10</title>
<g id="a_node11"><a xlink:href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" target="_top" xlink:title="Reference type of LiteralDocNode. ">
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+<text text-anchor="start" x="1296" y="-144.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1371" y="-133.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LiteralDoc</text>
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+<text text-anchor="middle" x="1371" y="-114.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1288,-107.5 1454,-107.5 "/>
+<text text-anchor="start" x="1296" y="-95.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1296" y="-84.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="1296" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ None()</text>
+<text text-anchor="start" x="1296" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Int()</text>
+<text text-anchor="start" x="1296" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Boolean()</text>
+<text text-anchor="start" x="1296" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Float()</text>
+<text text-anchor="start" x="1296" y="-29.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Str()</text>
+<text text-anchor="start" x="1296" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DataType()</text>
<text text-anchor="start" x="1296" y="-7.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
</a>
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<!-- Node0->Node10 -->
<g id="edge10" class="edge">
<title>Node0->Node10</title>
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-<polygon fill="none" stroke="#191970" points="1003.6015,-242.6857 994.1364,-247.4463 1004.5044,-249.6273 1003.6015,-242.6857"/>
+<path fill="none" stroke="#191970" d="M1004.3115,-234.3058C1081.32,-223.4685 1191.7219,-201.2539 1279,-157 1281.9963,-155.4808 1284.9774,-153.8448 1287.9335,-152.1126"/>
+<polygon fill="none" stroke="#191970" points="1003.5787,-230.8734 994.146,-235.6977 1004.5284,-237.8087 1003.5787,-230.8734"/>
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<g id="node12" class="node">
<title>Node11</title>
<g id="a_node12"><a xlink:href="classtvm_1_1script_1_1printer_1_1OperationDoc.html" target="_top" xlink:title="Reference type of OperationDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="1472,-39 1472,-129 1638,-129 1638,-39 1472,-39"/>
-<text text-anchor="start" x="1480" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="1555" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::OperationDoc</text>
-<polyline fill="none" stroke="#000000" points="1472,-99 1638,-99 "/>
-<text text-anchor="middle" x="1555" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="1472,-80 1638,-80 "/>
-<text text-anchor="start" x="1480" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ OperationDoc()</text>
-<text text-anchor="start" x="1480" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="1480" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="1472,-33.5 1472,-123.5 1638,-123.5 1638,-33.5 1472,-33.5"/>
+<text text-anchor="start" x="1480" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1555" y="-100.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::OperationDoc</text>
+<polyline fill="none" stroke="#000000" points="1472,-93.5 1638,-93.5 "/>
+<text text-anchor="middle" x="1555" y="-81.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1472,-74.5 1638,-74.5 "/>
+<text text-anchor="start" x="1480" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ OperationDoc()</text>
+<text text-anchor="start" x="1480" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1480" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
</g>
</g>
<!-- Node0->Node11 -->
<g id="edge11" class="edge">
<title>Node0->Node11</title>
-<path fill="none" stroke="#191970" d="M1003.9693,-246.8679C1139.4596,-233.9224 1383.6697,-206.1399 1463,-168 1482.4926,-158.6285 1500.7947,-143.7611 1515.862,-129.1214"/>
-<polygon fill="none" stroke="#191970" points="1003.6312,-243.3842 994.0059,-247.8119 1004.2915,-250.353 1003.6312,-243.3842"/>
+<path fill="none" stroke="#191970" d="M1004.0821,-235.5007C1139.4209,-222.1053 1383.0941,-193.7775 1463,-157 1480.738,-148.8359 1497.7298,-136.2436 1512.1766,-123.518"/>
+<polygon fill="none" stroke="#191970" points="1003.7393,-232.0174 994.1293,-236.4782 1004.4236,-238.9839 1003.7393,-232.0174"/>
</g>
<!-- Node12 -->
<g id="node13" class="node">
<title>Node12</title>
<g id="a_node13"><a xlink:href="classtvm_1_1script_1_1printer_1_1TupleDoc.html" target="_top" xlink:title="Reference type of TupleDocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="1656,-33.5 1656,-134.5 1822,-134.5 1822,-33.5 1656,-33.5"/>
-<text text-anchor="start" x="1664" y="-122.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="1739" y="-111.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::TupleDoc</text>
-<polyline fill="none" stroke="#000000" points="1656,-104.5 1822,-104.5 "/>
-<text text-anchor="middle" x="1739" y="-92.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="1656,-85.5 1822,-85.5 "/>
-<text text-anchor="start" x="1664" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
-<text text-anchor="start" x="1664" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
-<text text-anchor="start" x="1664" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="1664" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<polygon fill="#ffffff" stroke="#000000" points="1656,-28 1656,-129 1822,-129 1822,-28 1656,-28"/>
+<text text-anchor="start" x="1664" y="-117" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="1739" y="-106" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::TupleDoc</text>
+<polyline fill="none" stroke="#000000" points="1656,-99 1822,-99 "/>
+<text text-anchor="middle" x="1739" y="-87" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="1656,-80 1822,-80 "/>
+<text text-anchor="start" x="1664" y="-68" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
+<text text-anchor="start" x="1664" y="-57" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TupleDoc()</text>
+<text text-anchor="start" x="1664" y="-46" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="1664" y="-35" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
</a>
</g>
</g>
<!-- Node0->Node12 -->
<g id="edge12" class="edge">
<title>Node0->Node12</title>
-<path fill="none" stroke="#191970" d="M1004.1473,-251.0748C1175.7335,-242.6885 1534.4909,-219.4382 1647,-168 1664.3097,-160.0862 1680.59,-147.6873 1694.5034,-134.822"/>
-<polygon fill="none" stroke="#191970" points="1003.9392,-247.5806 994.1194,-251.5583 1004.2764,-254.5725 1003.9392,-247.5806"/>
+<path fill="none" stroke="#191970" d="M1004.3176,-239.7052C1175.7681,-230.7136 1533.7151,-206.5098 1647,-157 1662.3914,-150.2734 1677.1475,-140.0849 1690.1624,-129.2551"/>
+<polygon fill="none" stroke="#191970" points="1004.1024,-236.2116 994.297,-240.2245 1004.4648,-243.2022 1004.1024,-236.2116"/>
</g>
<!-- Node1 -->
<g id="node2" class="node">
<title>Node1</title>
<g id="a_node2"><a xlink:href="classtvm_1_1script_1_1printer_1_1Doc.html" target="_top" xlink:title="Reference type of DocNode. ">
-<polygon fill="#ffffff" stroke="#000000" points="828,-342.5 828,-432.5 994,-432.5 994,-342.5 828,-342.5"/>
-<text text-anchor="middle" x="911" y="-420.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer::Doc</text>
-<polyline fill="none" stroke="#000000" points="828,-413.5 994,-413.5 "/>
-<text text-anchor="middle" x="911" y="-401.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
-<polyline fill="none" stroke="#000000" points="828,-394.5 994,-394.5 "/>
-<text text-anchor="start" x="836" y="-382.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
-<text text-anchor="start" x="836" y="-371.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="836" y="-360.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
-<text text-anchor="start" x="836" y="-349.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># Doc()</text>
+<polygon fill="#ffffff" stroke="#000000" points="828,-331.5 828,-421.5 994,-421.5 994,-331.5 828,-331.5"/>
+<text text-anchor="middle" x="911" y="-409.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer::Doc</text>
+<polyline fill="none" stroke="#000000" points="828,-402.5 994,-402.5 "/>
+<text text-anchor="middle" x="911" y="-390.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="828,-383.5 994,-383.5 "/>
+<text text-anchor="start" x="836" y="-371.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
+<text text-anchor="start" x="836" y="-360.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="836" y="-349.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="836" y="-338.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># Doc()</text>
</a>
</g>
</g>
<!-- Node1->Node0 -->
<g id="edge1" class="edge">
<title>Node1->Node0</title>
-<path fill="none" stroke="#191970" d="M911,-332.2098C911,-323.5051 911,-314.5409 911,-305.9407"/>
-<polygon fill="none" stroke="#191970" points="907.5001,-332.2716 911,-342.2716 914.5001,-332.2716 907.5001,-332.2716"/>
+<path fill="none" stroke="#191970" d="M911,-321.2098C911,-312.5051 911,-303.5409 911,-294.9407"/>
+<polygon fill="none" stroke="#191970" points="907.5001,-321.2716 911,-331.2716 914.5001,-321.2716 907.5001,-321.2716"/>
</g>
<!-- Node2 -->
<g id="node3" class="node">
<title>Node2</title>
<g id="a_node3"><a xlink:href="classtvm_1_1runtime_1_1ObjectRef.html" target="_top" xlink:title="Base class of all object reference. ">
-<polygon fill="#ffffff" stroke="#000000" points="844,-469.5 844,-702.5 978,-702.5 978,-469.5 844,-469.5"/>
-<text text-anchor="middle" x="911" y="-690.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
-<polyline fill="none" stroke="#000000" points="844,-683.5 978,-683.5 "/>
-<text text-anchor="start" x="852" y="-671.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
-<text text-anchor="start" x="852" y="-660.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># data_</text>
-<polyline fill="none" stroke="#000000" points="844,-653.5 978,-653.5 "/>
-<text text-anchor="start" x="852" y="-641.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<polygon fill="#ffffff" stroke="#000000" points="844,-458.5 844,-691.5 978,-691.5 978,-458.5 844,-458.5"/>
+<text text-anchor="middle" x="911" y="-679.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
+<polyline fill="none" stroke="#000000" points="844,-672.5 978,-672.5 "/>
+<text text-anchor="start" x="852" y="-660.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
+<text text-anchor="start" x="852" y="-649.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># data_</text>
+<polyline fill="none" stroke="#000000" points="844,-642.5 978,-642.5 "/>
<text text-anchor="start" x="852" y="-630.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
-<text text-anchor="start" x="852" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
-<text text-anchor="start" x="852" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
-<text text-anchor="start" x="852" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
-<text text-anchor="start" x="852" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
-<text text-anchor="start" x="852" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
-<text text-anchor="start" x="852" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
-<text text-anchor="start" x="852" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
-<text text-anchor="start" x="852" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
-<text text-anchor="start" x="852" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
-<text text-anchor="start" x="852" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
-<text text-anchor="start" x="852" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
-<text text-anchor="start" x="852" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
-<text text-anchor="start" x="852" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
-<text text-anchor="start" x="852" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
+<text text-anchor="start" x="852" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<text text-anchor="start" x="852" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
+<text text-anchor="start" x="852" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
+<text text-anchor="start" x="852" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
+<text text-anchor="start" x="852" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
+<text text-anchor="start" x="852" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
+<text text-anchor="start" x="852" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
+<text text-anchor="start" x="852" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
+<text text-anchor="start" x="852" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
+<text text-anchor="start" x="852" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
+<text text-anchor="start" x="852" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
+<text text-anchor="start" x="852" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
+<text text-anchor="start" x="852" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
+<text text-anchor="start" x="852" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
+<text text-anchor="start" x="852" y="-465.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
</a>
</g>
</g>
<!-- Node2->Node1 -->
<g id="edge2" class="edge">
<title>Node2->Node1</title>
-<path fill="none" stroke="#191970" d="M911,-459.1315C911,-449.7956 911,-440.8139 911,-432.5544"/>
-<polygon fill="none" stroke="#191970" points="907.5001,-459.3835 911,-469.3836 914.5001,-459.3836 907.5001,-459.3835"/>
+<path fill="none" stroke="#191970" d="M911,-448.1315C911,-438.7956 911,-429.8139 911,-421.5544"/>
+<polygon fill="none" stroke="#191970" points="907.5001,-448.3835 911,-458.3836 914.5001,-448.3836 907.5001,-448.3835"/>
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</svg>
diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc-members.html b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc-members.html
index 5f4021e954..5433d54845 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc-members.html
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc-members.html
@@ -71,38 +71,37 @@ $(function() {
<table class="directory">
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a3e9b0901b6e01257b060a45e159cc37e">_type_is_nullable</a></td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">static</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a2d76fa1fb628ff276a284e61123589c5">as</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad2304f112248c0076f6cc12f3ebe69da">Boolean</a>(bool v)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">Boolean</a>(bool v, const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aa5c355fbb7d2f7402ee360dba8a52cdd">ContainerType</a> typedef</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#ac261cdb80487fb29ac42b28678f8cbef">data_</a></td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a157fb6ccc8acfcdd964482a502521ebd">DataType</a>(const DLDataType &v)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#adf4d8759e01746a0da3b03146b7baf00">DataType</a>(const runtime::DataType &v, const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a17d8d5ad92691f9e18e3e0ae8ef69e4f">defined</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html#accbc6699956d0166032a97e80ad3880d">Doc</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#acd04bb22a6861e9952c344ee8547411f">DowncastNoCheck</a>(ObjectRef ref)</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#ac5eb04f9e694f614cfacda6ac80c6e33">ExprDoc</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a22e5bb9d64dbc773bb9263b70882239e">FFIClearAfterMove</a>(ObjectRef *ref)</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aad7a2c38982b0a9d5f874eaf3e4676ba">Float</a>(double v)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a1a90c18a43f22d5c2eefe5be0c48b91b">Float</a>(double v, const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aadbc0886ffa80162ff31eefd0431ba09">get</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#ae423057ecf93c18714d17f53cd1d318f">get_mutable</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">protected</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aed593996e4076632450de8fde776707c">GetDataPtr</a>(const ObjectRef &ref)</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aea849aacf9a86be23f9d3e51d7ed77b0">Int</a>(int64_t v)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a6d030ebf49c3993e09da67aa6ebfb8ba">LiteralDoc</a>(ObjectRef value)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">explicit</span><span class="mlabel">protected</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3d925b6bd457b43db5c9990a5faf9ad6">LiteralDoc</a>(ObjectRef value, ObjectPath object_path)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad7b614de314ca220044ccfd78e4a9640">None</a>()</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aa07c1f6d66a438ea950637d13ed09471">ObjectRef</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a6a7dd7404edf1c26f8dbd9bd92d03a02">ObjectRef</a>(ObjectPtr< Object > data)</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">explicit</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aa1bd13a7185cb4b2b6bdde49416e8aa4">operator!=</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a3deeeac5827a88f375b8c6ae1039c219">operator-></a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a4744bf4a1b48f202d41b51dc5e08e6ee">operator<</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#affdf1b8cdb36e140de7b3ad7064e4617">operator==</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#ae1f6796aeb37346a3962d70cf1c0a5b7">operator[]</a>(Array< Doc > indices) const</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#ae31a5b9f40781d60a2901994ead700e8">same_as</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a789d7d73bd4d94612fa2a84c16b26b89">Str</a>(const String &v)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a7fc733a1cdefbf3acf6fe26e934ba3ad">TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(LiteralDoc, ExprDoc, LiteralDocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#a38f76803f62b2a231ce114f9ee3cf1ec">tvm::script::printer::ExprDoc::TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(ExprDoc, Doc, ExprDocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html#a7cfddf03d0abda9b7c47ffae0e16f2ac">tvm::script::printer::Doc::TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(Doc, ObjectRef, DocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a4e7cdb1574b93a59e784d70aa47b8da7">unique</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a0ae0da21d247cd87ea94fe3777c4405e">use_count</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html#a3a7365774bd87b76770627d544888ccc">~Doc</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3b88804f3208f2a7abc8641ee978776e">Int</a>(int64_t v, const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a964b5256fc9ed898b54bfa9b8f4c8de1">LiteralDoc</a>(ObjectRef value, const Optional< ObjectPath > &object_path)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">explicit</span><span class="mlabel">protected</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aec73b3eb7dc65adb78911fb334f1ae85">None</a>(const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aa07c1f6d66a438ea950637d13ed09471">ObjectRef</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a6a7dd7404edf1c26f8dbd9bd92d03a02">ObjectRef</a>(ObjectPtr< Object > data)</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">explicit</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#aa1bd13a7185cb4b2b6bdde49416e8aa4">operator!=</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a3deeeac5827a88f375b8c6ae1039c219">operator-></a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a4744bf4a1b48f202d41b51dc5e08e6ee">operator<</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#affdf1b8cdb36e140de7b3ad7064e4617">operator==</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#ae1f6796aeb37346a3962d70cf1c0a5b7">operator[]</a>(Array< Doc > indices) const</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#ae31a5b9f40781d60a2901994ead700e8">same_as</a>(const ObjectRef &other) const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">Str</a>(const String &v, const Optional< ObjectPath > &p)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a7fc733a1cdefbf3acf6fe26e934ba3ad">TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(LiteralDoc, ExprDoc, LiteralDocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#a38f76803f62b2a231ce114f9ee3cf1ec">tvm::script::printer::ExprDoc::TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(ExprDoc, Doc, ExprDocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html#a7cfddf03d0abda9b7c47ffae0e16f2ac">tvm::script::printer::Doc::TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a>(Doc, ObjectRef, DocNode)</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a4e7cdb1574b93a59e784d70aa47b8da7">unique</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html#a0ae0da21d247cd87ea94fe3777c4405e">use_count</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html#a3a7365774bd87b76770627d544888ccc">~Doc</a>()=default</td><td class="entry"><a class="el" href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
</table></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc.html b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc.html
index eb2400ba25..39acac34d3 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc.html
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc.html
@@ -79,13 +79,13 @@ $(function() {
<div class="dynheader">
Inheritance diagram for tvm::script::printer::LiteralDoc:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1script_1_1printer_1_1LiteralDoc__inherit__graph.svg" width="232" height="948"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1script_1_1printer_1_1LiteralDoc__inherit__graph.svg" width="232" height="934"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
<div class="dynheader">
Collaboration diagram for tvm::script::printer::LiteralDoc:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg" width="232" height="1239"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg" width="232" height="1224"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
<table class="memberdecls">
@@ -140,31 +140,29 @@ Public Member Functions</h2></td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
-<tr class="memitem:ad7b614de314ca220044ccfd78e4a9640"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad7b614de314ca220044ccfd78e4a9640">None</a> ()</td></tr>
-<tr class="memdesc:ad7b614de314ca220044ccfd78e4a9640"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent None/null/empty value. <a href="#ad7b614de314ca220044ccfd78e4a9640">More...</a><br /></td></tr>
-<tr class="separator:ad7b614de314ca220044ccfd78e4a9640"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:aea849aacf9a86be23f9d3e51d7ed77b0"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aea849aacf9a86be23f9d3e51d7ed77b0">Int</a> (int64_t v)</td></tr>
-<tr class="memdesc:aea849aacf9a86be23f9d3e51d7ed77b0"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent integer. <a href="#aea849aacf9a86be23f9d3e51d7ed77b0">More...</a><br /></td></tr>
-<tr class="separator:aea849aacf9a86be23f9d3e51d7ed77b0"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:ad2304f112248c0076f6cc12f3ebe69da"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad2304f112248c0076f6cc12f3ebe69da">Boolean</a> (bool v)</td></tr>
-<tr class="memdesc:ad2304f112248c0076f6cc12f3ebe69da"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent boolean. <a href="#ad2304f112248c0076f6cc12f3ebe69da">More...</a><br /></td></tr>
-<tr class="separator:ad2304f112248c0076f6cc12f3ebe69da"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:aad7a2c38982b0a9d5f874eaf3e4676ba"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aad7a2c38982b0a9d5f874eaf3e4676ba">Float</a> (double v)</td></tr>
-<tr class="memdesc:aad7a2c38982b0a9d5f874eaf3e4676ba"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent float. <a href="#aad7a2c38982b0a9d5f874eaf3e4676ba">More...</a><br /></td></tr>
-<tr class="separator:aad7a2c38982b0a9d5f874eaf3e4676ba"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a789d7d73bd4d94612fa2a84c16b26b89"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a789d7d73bd4d94612fa2a84c16b26b89">Str</a> (const <a class="el" href="classtvm_1_1runtime_1_1String.html">String</a> &v)</td></tr>
-<tr class="memdesc:a789d7d73bd4d94612fa2a84c16b26b89"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent string. <a href="#a789d7d73bd4d94612fa2a84c16b26b89">More...</a><br /></td></tr>
-<tr class="separator:a789d7d73bd4d94612fa2a84c16b26b89"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a157fb6ccc8acfcdd964482a502521ebd"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a157fb6ccc8acfcdd964482a502521ebd">DataType</a> (const DLDataType &v)</td></tr>
-<tr class="memdesc:a157fb6ccc8acfcdd964482a502521ebd"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent string. <a href="#a157fb6ccc8acfcdd964482a502521ebd">More...</a><br /></td></tr>
-<tr class="separator:a157fb6ccc8acfcdd964482a502521ebd"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aec73b3eb7dc65adb78911fb334f1ae85"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aec73b3eb7dc65adb78911fb334f1ae85">None</a> (const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html"> [...]
+<tr class="memdesc:aec73b3eb7dc65adb78911fb334f1ae85"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent None/null/empty value. <a href="#aec73b3eb7dc65adb78911fb334f1ae85">More...</a><br /></td></tr>
+<tr class="separator:aec73b3eb7dc65adb78911fb334f1ae85"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a3b88804f3208f2a7abc8641ee978776e"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3b88804f3208f2a7abc8641ee978776e">Int</a> (int64_t v, const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectP [...]
+<tr class="memdesc:a3b88804f3208f2a7abc8641ee978776e"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent integer. <a href="#a3b88804f3208f2a7abc8641ee978776e">More...</a><br /></td></tr>
+<tr class="separator:a3b88804f3208f2a7abc8641ee978776e"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ab0a0ccbeb39cc510cb3bf37acdc2e0bc"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">Boolean</a> (bool v, const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1Object [...]
+<tr class="memdesc:ab0a0ccbeb39cc510cb3bf37acdc2e0bc"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent boolean. <a href="#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">More...</a><br /></td></tr>
+<tr class="separator:ab0a0ccbeb39cc510cb3bf37acdc2e0bc"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a1a90c18a43f22d5c2eefe5be0c48b91b"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a1a90c18a43f22d5c2eefe5be0c48b91b">Float</a> (double v, const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1Object [...]
+<tr class="memdesc:a1a90c18a43f22d5c2eefe5be0c48b91b"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent float. <a href="#a1a90c18a43f22d5c2eefe5be0c48b91b">More...</a><br /></td></tr>
+<tr class="separator:a1a90c18a43f22d5c2eefe5be0c48b91b"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a8423a0ede5a29b24f6db5d9f6574a200"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">Str</a> (const <a class="el" href="classtvm_1_1runtime_1_1String.html">String</a> &v, const <a class="el" href="classtvm_1_1runtime_1_1O [...]
+<tr class="memdesc:a8423a0ede5a29b24f6db5d9f6574a200"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent string. <a href="#a8423a0ede5a29b24f6db5d9f6574a200">More...</a><br /></td></tr>
+<tr class="separator:a8423a0ede5a29b24f6db5d9f6574a200"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:adf4d8759e01746a0da3b03146b7baf00"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#adf4d8759e01746a0da3b03146b7baf00">DataType</a> (const <a class="el" href="classtvm_1_1runtime_1_1DataType.html">runtime::DataType</a> &v, const <a class="el" href="classt [...]
+<tr class="memdesc:adf4d8759e01746a0da3b03146b7baf00"><td class="mdescLeft"> </td><td class="mdescRight">Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent string. <a href="#adf4d8759e01746a0da3b03146b7baf00">More...</a><br /></td></tr>
+<tr class="separator:adf4d8759e01746a0da3b03146b7baf00"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
Protected Member Functions</h2></td></tr>
-<tr class="memitem:a6d030ebf49c3993e09da67aa6ebfb8ba"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a6d030ebf49c3993e09da67aa6ebfb8ba">LiteralDoc</a> (<a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> value)</td></tr>
-<tr class="separator:a6d030ebf49c3993e09da67aa6ebfb8ba"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a3d925b6bd457b43db5c9990a5faf9ad6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3d925b6bd457b43db5c9990a5faf9ad6">LiteralDoc</a> (<a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> value, <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> object_path)</td></tr>
-<tr class="separator:a3d925b6bd457b43db5c9990a5faf9ad6"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a964b5256fc9ed898b54bfa9b8f4c8de1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a964b5256fc9ed898b54bfa9b8f4c8de1">LiteralDoc</a> (<a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> value, const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">Objec [...]
+<tr class="separator:a964b5256fc9ed898b54bfa9b8f4c8de1"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pro_methods_classtvm_1_1script_1_1printer_1_1ExprDoc"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classtvm_1_1script_1_1printer_1_1ExprDoc')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></td></tr>
<tr class="memitem:ac5eb04f9e694f614cfacda6ac80c6e33 inherit pro_methods_classtvm_1_1script_1_1printer_1_1ExprDoc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1script_1_1printer_1_1ExprDoc.html#ac5eb04f9e694f614cfacda6ac80c6e33">ExprDoc</a> ()=default</td></tr>
<tr class="separator:ac5eb04f9e694f614cfacda6ac80c6e33 inherit pro_methods_classtvm_1_1script_1_1printer_1_1ExprDoc"><td class="memSeparator" colspan="2"> </td></tr>
@@ -205,34 +203,8 @@ Additional Inherited Members</h2></td></tr>
<div class="textblock"><p>Reference type of <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html" title="Doc that represents literal value. ">LiteralDocNode</a>. </p>
<dl class="section see"><dt>See also</dt><dd><a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html" title="Doc that represents literal value. ">LiteralDocNode</a> </dd></dl>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
-<a id="a6d030ebf49c3993e09da67aa6ebfb8ba"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6d030ebf49c3993e09da67aa6ebfb8ba">◆ </a></span>LiteralDoc() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
- <tr>
- <td class="mlabels-left">
- <table class="memname">
- <tr>
- <td class="memname">tvm::script::printer::LiteralDoc::LiteralDoc </td>
- <td>(</td>
- <td class="paramtype"><a class="el" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> </td>
- <td class="paramname"><em>value</em></td><td>)</td>
- <td></td>
- </tr>
- </table>
- </td>
- <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span><span class="mlabel">protected</span></span> </td>
- </tr>
-</table>
-</div><div class="memdoc">
-
-</div>
-</div>
-<a id="a3d925b6bd457b43db5c9990a5faf9ad6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3d925b6bd457b43db5c9990a5faf9ad6">◆ </a></span>LiteralDoc() <span class="overload">[2/2]</span></h2>
+<a id="a964b5256fc9ed898b54bfa9b8f4c8de1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a964b5256fc9ed898b54bfa9b8f4c8de1">◆ </a></span>LiteralDoc()</h2>
<div class="memitem">
<div class="memproto">
@@ -249,7 +221,7 @@ Additional Inherited Members</h2></td></tr>
<tr>
<td class="paramkey"></td>
<td></td>
- <td class="paramtype"><a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> </td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
<td class="paramname"><em>object_path</em> </td>
</tr>
<tr>
@@ -260,7 +232,7 @@ Additional Inherited Members</h2></td></tr>
</table>
</td>
<td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span> </td>
+<span class="mlabels"><span class="mlabel">explicit</span><span class="mlabel">protected</span></span> </td>
</tr>
</table>
</div><div class="memdoc">
@@ -268,8 +240,8 @@ Additional Inherited Members</h2></td></tr>
</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
-<a id="ad2304f112248c0076f6cc12f3ebe69da"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad2304f112248c0076f6cc12f3ebe69da">◆ </a></span>Boolean()</h2>
+<a id="ab0a0ccbeb39cc510cb3bf37acdc2e0bc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">◆ </a></span>Boolean()</h2>
<div class="memitem">
<div class="memproto">
@@ -281,8 +253,18 @@ Additional Inherited Members</h2></td></tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::Boolean </td>
<td>(</td>
<td class="paramtype">bool </td>
- <td class="paramname"><em>v</em></td><td>)</td>
+ <td class="paramname"><em>v</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
<td></td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
</tr>
</table>
</td>
@@ -296,14 +278,15 @@ Additional Inherited Members</h2></td></tr>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">v</td><td>The boolean value. </td></tr>
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
</table>
</dd>
</dl>
</div>
</div>
-<a id="a157fb6ccc8acfcdd964482a502521ebd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a157fb6ccc8acfcdd964482a502521ebd">◆ </a></span>DataType()</h2>
+<a id="adf4d8759e01746a0da3b03146b7baf00"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#adf4d8759e01746a0da3b03146b7baf00">◆ </a></span>DataType()</h2>
<div class="memitem">
<div class="memproto">
@@ -314,9 +297,19 @@ Additional Inherited Members</h2></td></tr>
<tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::DataType </td>
<td>(</td>
- <td class="paramtype">const DLDataType & </td>
- <td class="paramname"><em>v</em></td><td>)</td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1DataType.html">runtime::DataType</a> & </td>
+ <td class="paramname"><em>v</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
<td></td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
</tr>
</table>
</td>
@@ -330,14 +323,15 @@ Additional Inherited Members</h2></td></tr>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">v</td><td>The string value. </td></tr>
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
</table>
</dd>
</dl>
</div>
</div>
-<a id="aad7a2c38982b0a9d5f874eaf3e4676ba"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aad7a2c38982b0a9d5f874eaf3e4676ba">◆ </a></span>Float()</h2>
+<a id="a1a90c18a43f22d5c2eefe5be0c48b91b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1a90c18a43f22d5c2eefe5be0c48b91b">◆ </a></span>Float()</h2>
<div class="memitem">
<div class="memproto">
@@ -349,8 +343,18 @@ Additional Inherited Members</h2></td></tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::Float </td>
<td>(</td>
<td class="paramtype">double </td>
- <td class="paramname"><em>v</em></td><td>)</td>
+ <td class="paramname"><em>v</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
<td></td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
</tr>
</table>
</td>
@@ -364,14 +368,15 @@ Additional Inherited Members</h2></td></tr>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">v</td><td>The float value. </td></tr>
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
</table>
</dd>
</dl>
</div>
</div>
-<a id="aea849aacf9a86be23f9d3e51d7ed77b0"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aea849aacf9a86be23f9d3e51d7ed77b0">◆ </a></span>Int()</h2>
+<a id="a3b88804f3208f2a7abc8641ee978776e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3b88804f3208f2a7abc8641ee978776e">◆ </a></span>Int()</h2>
<div class="memitem">
<div class="memproto">
@@ -383,8 +388,18 @@ Additional Inherited Members</h2></td></tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::Int </td>
<td>(</td>
<td class="paramtype">int64_t </td>
- <td class="paramname"><em>v</em></td><td>)</td>
+ <td class="paramname"><em>v</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em> </td>
+ </tr>
+ <tr>
<td></td>
+ <td>)</td>
+ <td></td><td></td>
</tr>
</table>
</td>
@@ -398,14 +413,15 @@ Additional Inherited Members</h2></td></tr>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">v</td><td>The integer value. </td></tr>
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
</table>
</dd>
</dl>
</div>
</div>
-<a id="ad7b614de314ca220044ccfd78e4a9640"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad7b614de314ca220044ccfd78e4a9640">◆ </a></span>None()</h2>
+<a id="aec73b3eb7dc65adb78911fb334f1ae85"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aec73b3eb7dc65adb78911fb334f1ae85">◆ </a></span>None()</h2>
<div class="memitem">
<div class="memproto">
@@ -416,7 +432,8 @@ Additional Inherited Members</h2></td></tr>
<tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::None </td>
<td>(</td>
- <td class="paramname"></td><td>)</td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em></td><td>)</td>
<td></td>
</tr>
</table>
@@ -428,11 +445,17 @@ Additional Inherited Members</h2></td></tr>
</div><div class="memdoc">
<p>Create a <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html" title="Reference type of LiteralDocNode. ">LiteralDoc</a> to represent None/null/empty value. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
+ </table>
+ </dd>
+</dl>
</div>
</div>
-<a id="a789d7d73bd4d94612fa2a84c16b26b89"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a789d7d73bd4d94612fa2a84c16b26b89">◆ </a></span>Str()</h2>
+<a id="a8423a0ede5a29b24f6db5d9f6574a200"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8423a0ede5a29b24f6db5d9f6574a200">◆ </a></span>Str()</h2>
<div class="memitem">
<div class="memproto">
@@ -444,8 +467,18 @@ Additional Inherited Members</h2></td></tr>
<td class="memname">static <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">LiteralDoc</a> tvm::script::printer::LiteralDoc::Str </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1String.html">String</a> & </td>
- <td class="paramname"><em>v</em></td><td>)</td>
+ <td class="paramname"><em>v</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>< <a class="el" href="classtvm_1_1ObjectPath.html">ObjectPath</a> > & </td>
+ <td class="paramname"><em>p</em> </td>
+ </tr>
+ <tr>
<td></td>
+ <td>)</td>
+ <td></td><td></td>
</tr>
</table>
</td>
@@ -459,6 +492,7 @@ Additional Inherited Members</h2></td></tr>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">v</td><td>The string value. </td></tr>
+ <tr><td class="paramname">p</td><td>The object path </td></tr>
</table>
</dd>
</dl>
diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg
index b665a4ce52..15f79fda79 100644
--- a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg
+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__coll__graph.svg
@@ -4,140 +4,139 @@
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-->
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+<svg width="174pt" height="918pt"
+ viewBox="0.00 0.00 174.00 918.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<title>tvm::script::printer::LiteralDoc</title>
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+<polygon fill="#ffffff" stroke="transparent" points="-4,4 -4,-914 170,-914 170,4 -4,4"/>
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<g id="node1" class="node">
<title>Node4</title>
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-<text text-anchor="start" x="8" y="-155.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
-<text text-anchor="middle" x="83" y="-144.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LiteralDoc</text>
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-<text text-anchor="start" x="8" y="-106.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
-<text text-anchor="start" x="8" y="-95.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
-<text text-anchor="start" x="8" y="-84.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ None()</text>
-<text text-anchor="start" x="8" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Int()</text>
-<text text-anchor="start" x="8" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Boolean()</text>
-<text text-anchor="start" x="8" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Float()</text>
-<text text-anchor="start" x="8" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Str()</text>
-<text text-anchor="start" x="8" y="-29.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DataType()</text>
-<text text-anchor="start" x="8" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
+<polygon fill="#bfbfbf" stroke="#000000" points="0,-.5 0,-156.5 166,-156.5 166,-.5 0,-.5"/>
+<text text-anchor="start" x="8" y="-144.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="83" y="-133.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LiteralDoc</text>
+<polyline fill="none" stroke="#000000" points="0,-126.5 166,-126.5 "/>
+<text text-anchor="middle" x="83" y="-114.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-107.5 166,-107.5 "/>
+<text text-anchor="start" x="8" y="-95.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-84.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="8" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ None()</text>
+<text text-anchor="start" x="8" y="-62.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Int()</text>
+<text text-anchor="start" x="8" y="-51.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Boolean()</text>
+<text text-anchor="start" x="8" y="-40.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Float()</text>
+<text text-anchor="start" x="8" y="-29.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Str()</text>
+<text text-anchor="start" x="8" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ DataType()</text>
<text text-anchor="start" x="8" y="-7.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
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<title>Node5</title>
<g id="a_node2"><a xlink:href="classtvm_1_1script_1_1printer_1_1ExprDoc.html" target="_top" xlink:title="Reference type of ExprDocNode. ">
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-<text text-anchor="start" x="8" y="-294.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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-<text text-anchor="start" x="8" y="-245.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
-<text text-anchor="start" x="8" y="-234.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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-<text text-anchor="start" x="8" y="-212.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># ExprDoc()</text>
+<polygon fill="#ffffff" stroke="#000000" points="0,-194.5 0,-295.5 166,-295.5 166,-194.5 0,-194.5"/>
+<text text-anchor="start" x="8" y="-283.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="83" y="-272.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::ExprDoc</text>
+<polyline fill="none" stroke="#000000" points="0,-265.5 166,-265.5 "/>
+<text text-anchor="middle" x="83" y="-253.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-246.5 166,-246.5 "/>
+<text text-anchor="start" x="8" y="-234.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
+<text text-anchor="start" x="8" y="-223.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-212.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="8" y="-201.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># ExprDoc()</text>
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<g id="edge1" class="edge">
<title>Node5->Node4</title>
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<g id="node3" class="node">
<title>Node6</title>
<g id="a_node3"><a xlink:href="classtvm_1_1script_1_1printer_1_1Doc.html" target="_top" xlink:title="Reference type of DocNode. ">
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-<text text-anchor="middle" x="83" y="-403.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
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-<text text-anchor="start" x="8" y="-384.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
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+<polygon fill="#ffffff" stroke="#000000" points="0,-333.5 0,-423.5 166,-423.5 166,-333.5 0,-333.5"/>
+<text text-anchor="middle" x="83" y="-411.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer::Doc</text>
+<polyline fill="none" stroke="#000000" points="0,-404.5 166,-404.5 "/>
+<text text-anchor="middle" x="83" y="-392.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-385.5 166,-385.5 "/>
+<text text-anchor="start" x="8" y="-373.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
+<text text-anchor="start" x="8" y="-362.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-351.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="8" y="-340.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># Doc()</text>
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<g id="edge2" class="edge">
<title>Node6->Node5</title>
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-<polygon fill="none" stroke="#191970" points="79.5001,-334.303 83,-344.303 86.5001,-334.303 79.5001,-334.303"/>
+<path fill="none" stroke="#191970" d="M83,-323.175C83,-314.0608 83,-304.6537 83,-295.661"/>
+<polygon fill="none" stroke="#191970" points="79.5001,-323.303 83,-333.303 86.5001,-323.303 79.5001,-323.303"/>
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<g id="node4" class="node">
<title>Node7</title>
<g id="a_node4"><a xlink:href="classtvm_1_1runtime_1_1ObjectRef.html" target="_top" xlink:title="Base class of all object reference. ">
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-<text text-anchor="start" x="24" y="-663.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
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-<text text-anchor="start" x="24" y="-644.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<polygon fill="#ffffff" stroke="#000000" points="16,-461.5 16,-683.5 150,-683.5 150,-461.5 16,-461.5"/>
+<text text-anchor="middle" x="83" y="-671.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
+<polyline fill="none" stroke="#000000" points="16,-664.5 150,-664.5 "/>
+<text text-anchor="start" x="24" y="-652.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
+<polyline fill="none" stroke="#000000" points="16,-645.5 150,-645.5 "/>
<text text-anchor="start" x="24" y="-633.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
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-<text text-anchor="start" x="24" y="-611.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
-<text text-anchor="start" x="24" y="-600.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
-<text text-anchor="start" x="24" y="-589.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
-<text text-anchor="start" x="24" y="-578.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
-<text text-anchor="start" x="24" y="-567.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
-<text text-anchor="start" x="24" y="-556.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
-<text text-anchor="start" x="24" y="-545.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
-<text text-anchor="start" x="24" y="-534.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
-<text text-anchor="start" x="24" y="-523.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
-<text text-anchor="start" x="24" y="-512.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
-<text text-anchor="start" x="24" y="-501.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
-<text text-anchor="start" x="24" y="-490.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
-<text text-anchor="start" x="24" y="-479.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
+<text text-anchor="start" x="24" y="-622.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<text text-anchor="start" x="24" y="-611.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
+<text text-anchor="start" x="24" y="-600.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
+<text text-anchor="start" x="24" y="-589.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
+<text text-anchor="start" x="24" y="-578.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
+<text text-anchor="start" x="24" y="-567.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
+<text text-anchor="start" x="24" y="-556.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
+<text text-anchor="start" x="24" y="-545.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
+<text text-anchor="start" x="24" y="-534.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
+<text text-anchor="start" x="24" y="-523.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
+<text text-anchor="start" x="24" y="-512.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
+<text text-anchor="start" x="24" y="-501.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
+<text text-anchor="start" x="24" y="-490.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
+<text text-anchor="start" x="24" y="-479.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
+<text text-anchor="start" x="24" y="-468.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
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+<polygon fill="none" stroke="#191970" points="79.5001,-451.3362 83,-461.3362 86.5001,-451.3362 79.5001,-451.3362"/>
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-<text text-anchor="start" x="21" y="-859.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
+<polygon fill="#ffffff" stroke="#000000" points="13,-731.5 13,-909.5 153,-909.5 153,-731.5 13,-731.5"/>
+<text text-anchor="start" x="21" y="-897.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectPtr</text>
+<text text-anchor="middle" x="83" y="-886.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">< tvm::runtime::Object ></text>
+<polyline fill="none" stroke="#000000" points="13,-879.5 153,-879.5 "/>
+<text text-anchor="middle" x="83" y="-867.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="13,-860.5 153,-860.5 "/>
<text text-anchor="start" x="21" y="-848.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
<text text-anchor="start" x="21" y="-837.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
<text text-anchor="start" x="21" y="-826.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
<text text-anchor="start" x="21" y="-815.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
<text text-anchor="start" x="21" y="-804.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
-<text text-anchor="start" x="21" y="-793.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~ObjectPtr()</text>
-<text text-anchor="start" x="21" y="-782.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ swap()</text>
-<text text-anchor="start" x="21" y="-771.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
-<text text-anchor="start" x="21" y="-760.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
-<text text-anchor="start" x="21" y="-749.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">and 11 more...</text>
+<text text-anchor="start" x="21" y="-793.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectPtr()</text>
+<text text-anchor="start" x="21" y="-782.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~ObjectPtr()</text>
+<text text-anchor="start" x="21" y="-771.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ swap()</text>
+<text text-anchor="start" x="21" y="-760.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
+<text text-anchor="start" x="21" y="-749.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
+<text text-anchor="start" x="21" y="-738.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">and 11 more...</text>
</a>
</g>
</g>
<!-- Node8->Node7 -->
<g id="edge4" class="edge">
<title>Node8->Node7</title>
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-<polygon fill="none" stroke="#404040" points="83.0001,-706.7944 79,-700.7944 83,-694.7944 87,-700.7943 83.0001,-706.7944"/>
-<text text-anchor="middle" x="102.5" y="-716" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> #data_</text>
+<path fill="none" stroke="#404040" d="M83,-731.3167C83,-719.8765 83,-708.0062 83,-696.1402"/>
+<polygon fill="none" stroke="#404040" points="83.0001,-695.7944 79,-689.7944 83,-683.7944 87,-689.7943 83.0001,-695.7944"/>
+<text text-anchor="middle" x="102.5" y="-705" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> #data_</text>
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diff --git a/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__inherit__graph.svg b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__inherit__graph.svg
index 98d724ec14..be84ac626d 100644
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+++ b/docs/reference/api/doxygen/classtvm_1_1script_1_1printer_1_1LiteralDoc__inherit__graph.svg
@@ -4,110 +4,109 @@
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-<g id="graph0" class="graph" transform="scale(1 1) rotate(0) translate(4 707)">
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+ viewBox="0.00 0.00 174.00 700.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<title>tvm::script::printer::LiteralDoc</title>
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+<polygon fill="#ffffff" stroke="transparent" points="-4,4 -4,-696 170,-696 170,4 -4,4"/>
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<g id="node1" class="node">
<title>Node0</title>
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-<text text-anchor="start" x="8" y="-106.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
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-<text text-anchor="start" x="8" y="-73.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ Int()</text>
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-<text text-anchor="start" x="8" y="-18.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
+<polygon fill="#bfbfbf" stroke="#000000" points="0,-.5 0,-156.5 166,-156.5 166,-.5 0,-.5"/>
+<text text-anchor="start" x="8" y="-144.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
+<text text-anchor="middle" x="83" y="-133.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">::LiteralDoc</text>
+<polyline fill="none" stroke="#000000" points="0,-126.5 166,-126.5 "/>
+<text text-anchor="middle" x="83" y="-114.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-107.5 166,-107.5 "/>
+<text text-anchor="start" x="8" y="-95.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-84.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
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<text text-anchor="start" x="8" y="-7.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># LiteralDoc()</text>
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<title>Node1</title>
<g id="a_node2"><a xlink:href="classtvm_1_1script_1_1printer_1_1ExprDoc.html" target="_top" xlink:title="Reference type of ExprDocNode. ">
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-<text text-anchor="start" x="8" y="-244.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
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+<polygon fill="#ffffff" stroke="#000000" points="0,-193.5 0,-294.5 166,-294.5 166,-193.5 0,-193.5"/>
+<text text-anchor="start" x="8" y="-282.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer</text>
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+<text text-anchor="middle" x="83" y="-252.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-245.5 166,-245.5 "/>
+<text text-anchor="start" x="8" y="-233.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator[]()</text>
+<text text-anchor="start" x="8" y="-222.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-211.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="8" y="-200.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># ExprDoc()</text>
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<title>Node1->Node0</title>
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+<polygon fill="none" stroke="#191970" points="79.5001,-183.4452 83,-193.4453 86.5001,-183.4453 79.5001,-183.4452"/>
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<g id="node3" class="node">
<title>Node2</title>
<g id="a_node3"><a xlink:href="classtvm_1_1script_1_1printer_1_1Doc.html" target="_top" xlink:title="Reference type of DocNode. ">
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-<text text-anchor="middle" x="83" y="-401.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
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-<text text-anchor="start" x="8" y="-382.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
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+<polygon fill="#ffffff" stroke="#000000" points="0,-331.5 0,-421.5 166,-421.5 166,-331.5 0,-331.5"/>
+<text text-anchor="middle" x="83" y="-409.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::script::printer::Doc</text>
+<polyline fill="none" stroke="#000000" points="0,-402.5 166,-402.5 "/>
+<text text-anchor="middle" x="83" y="-390.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"> </text>
+<polyline fill="none" stroke="#000000" points="0,-383.5 166,-383.5 "/>
+<text text-anchor="start" x="8" y="-371.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ~Doc()</text>
+<text text-anchor="start" x="8" y="-360.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ TVM_DEFINE_NOTNULLABLE</text>
+<text text-anchor="start" x="8" y="-349.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">_OBJECT_REF_METHODS()</text>
+<text text-anchor="start" x="8" y="-338.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># Doc()</text>
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-<polygon fill="none" stroke="#191970" points="79.5001,-332.2716 83,-342.2716 86.5001,-332.2716 79.5001,-332.2716"/>
+<path fill="none" stroke="#191970" d="M83,-321.2098C83,-312.5051 83,-303.5409 83,-294.9407"/>
+<polygon fill="none" stroke="#191970" points="79.5001,-321.2716 83,-331.2716 86.5001,-321.2716 79.5001,-321.2716"/>
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<g id="node4" class="node">
<title>Node3</title>
<g id="a_node4"><a xlink:href="classtvm_1_1runtime_1_1ObjectRef.html" target="_top" xlink:title="Base class of all object reference. ">
-<polygon fill="#ffffff" stroke="#000000" points="16,-469.5 16,-702.5 150,-702.5 150,-469.5 16,-469.5"/>
-<text text-anchor="middle" x="83" y="-690.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
-<polyline fill="none" stroke="#000000" points="16,-683.5 150,-683.5 "/>
-<text text-anchor="start" x="24" y="-671.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
-<text text-anchor="start" x="24" y="-660.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># data_</text>
-<polyline fill="none" stroke="#000000" points="16,-653.5 150,-653.5 "/>
-<text text-anchor="start" x="24" y="-641.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<polygon fill="#ffffff" stroke="#000000" points="16,-458.5 16,-691.5 150,-691.5 150,-458.5 16,-458.5"/>
+<text text-anchor="middle" x="83" y="-679.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm::runtime::ObjectRef</text>
+<polyline fill="none" stroke="#000000" points="16,-672.5 150,-672.5 "/>
+<text text-anchor="start" x="24" y="-660.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ _type_is_nullable</text>
+<text text-anchor="start" x="24" y="-649.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># data_</text>
+<polyline fill="none" stroke="#000000" points="16,-642.5 150,-642.5 "/>
<text text-anchor="start" x="24" y="-630.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
-<text text-anchor="start" x="24" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
-<text text-anchor="start" x="24" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
-<text text-anchor="start" x="24" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
-<text text-anchor="start" x="24" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
-<text text-anchor="start" x="24" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
-<text text-anchor="start" x="24" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
-<text text-anchor="start" x="24" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
-<text text-anchor="start" x="24" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
-<text text-anchor="start" x="24" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
-<text text-anchor="start" x="24" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
-<text text-anchor="start" x="24" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
-<text text-anchor="start" x="24" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
-<text text-anchor="start" x="24" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
-<text text-anchor="start" x="24" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
+<text text-anchor="start" x="24" y="-619.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ ObjectRef()</text>
+<text text-anchor="start" x="24" y="-608.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ same_as()</text>
+<text text-anchor="start" x="24" y="-597.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator==()</text>
+<text text-anchor="start" x="24" y="-586.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator!=()</text>
+<text text-anchor="start" x="24" y="-575.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator<()</text>
+<text text-anchor="start" x="24" y="-564.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ defined()</text>
+<text text-anchor="start" x="24" y="-553.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ get()</text>
+<text text-anchor="start" x="24" y="-542.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ operator->()</text>
+<text text-anchor="start" x="24" y="-531.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ unique()</text>
+<text text-anchor="start" x="24" y="-520.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ use_count()</text>
+<text text-anchor="start" x="24" y="-509.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">+ as()</text>
+<text text-anchor="start" x="24" y="-498.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># get_mutable()</text>
+<text text-anchor="start" x="24" y="-487.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># DowncastNoCheck()</text>
+<text text-anchor="start" x="24" y="-476.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># FFIClearAfterMove()</text>
+<text text-anchor="start" x="24" y="-465.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000"># GetDataPtr()</text>
</a>
</g>
</g>
<!-- Node3->Node2 -->
<g id="edge3" class="edge">
<title>Node3->Node2</title>
-<path fill="none" stroke="#191970" d="M83,-459.1315C83,-449.7956 83,-440.8139 83,-432.5544"/>
-<polygon fill="none" stroke="#191970" points="79.5001,-459.3835 83,-469.3836 86.5001,-459.3836 79.5001,-459.3835"/>
+<path fill="none" stroke="#191970" d="M83,-448.1315C83,-438.7956 83,-429.8139 83,-421.5544"/>
+<polygon fill="none" stroke="#191970" points="79.5001,-448.3835 83,-458.3836 86.5001,-448.3836 79.5001,-448.3835"/>
</g>
</g>
</svg>
diff --git a/docs/reference/api/doxygen/doc_8h.html b/docs/reference/api/doxygen/doc_8h.html
index bbda5eafe0..561e75424c 100644
--- a/docs/reference/api/doxygen/doc_8h.html
+++ b/docs/reference/api/doxygen/doc_8h.html
@@ -72,10 +72,11 @@ $(function() {
<div class="textblock"><code>#include <<a class="el" href="ir_2expr_8h_source.html">tvm/ir/expr.h</a>></code><br />
<code>#include <<a class="el" href="node_8h_source.html">tvm/node/node.h</a>></code><br />
<code>#include <<a class="el" href="data__type_8h_source.html">tvm/runtime/data_type.h</a>></code><br />
+<code>#include <string></code><br />
</div><div class="textblock"><div class="dynheader">
Include dependency graph for doc.h:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="doc_8h__incl.svg" width="4310" height="1082"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="doc_8h__incl.svg" width="4360" height="1082"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
</div><div class="textblock"><div class="dynheader">
diff --git a/docs/reference/api/doxygen/doc_8h__incl.svg b/docs/reference/api/doxygen/doc_8h__incl.svg
index 9fee404e43..8e8e4f05f4 100644
--- a/docs/reference/api/doxygen/doc_8h__incl.svg
+++ b/docs/reference/api/doxygen/doc_8h__incl.svg
@@ -4,1376 +4,1382 @@
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-->
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- viewBox="0.00 0.00 3232.00 811.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+<svg width="3270pt" height="811pt"
+ viewBox="0.00 0.00 3270.00 811.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g id="graph0" class="graph" transform="scale(1 1) rotate(0) translate(4 807)">
<title>include/tvm/script/printer/doc.h</title>
-<polygon fill="#ffffff" stroke="transparent" points="-4,4 -4,-807 3228,-807 3228,4 -4,4"/>
+<polygon fill="#ffffff" stroke="transparent" points="-4,4 -4,-807 3266,-807 3266,4 -4,4"/>
<!-- Node0 -->
<g id="node1" class="node">
<title>Node0</title>
-<polygon fill="#bfbfbf" stroke="#000000" points="3020,-772.5 3020,-802.5 3124,-802.5 3124,-772.5 3020,-772.5"/>
-<text text-anchor="start" x="3028" y="-790.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">include/tvm/script</text>
-<text text-anchor="middle" x="3072" y="-779.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">/printer/doc.h</text>
+<polygon fill="#bfbfbf" stroke="#000000" points="693,-772.5 693,-802.5 797,-802.5 797,-772.5 693,-772.5"/>
+<text text-anchor="start" x="701" y="-790.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">include/tvm/script</text>
+<text text-anchor="middle" x="745" y="-779.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">/printer/doc.h</text>
</g>
<!-- Node1 -->
<g id="node2" class="node">
<title>Node1</title>
<g id="a_node2"><a xlink:href="ir_2expr_8h.html" target="_top" xlink:title="Base expr nodes in TVM. ">
-<polygon fill="#ffffff" stroke="#000000" points="519.5,-716.5 519.5,-735.5 598.5,-735.5 598.5,-716.5 519.5,-716.5"/>
-<text text-anchor="middle" x="559" y="-723.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/ir/expr.h</text>
+<polygon fill="#ffffff" stroke="#000000" points="1186.5,-716.5 1186.5,-735.5 1265.5,-735.5 1265.5,-716.5 1186.5,-716.5"/>
+<text text-anchor="middle" x="1226" y="-723.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/ir/expr.h</text>
</a>
</g>
</g>
<!-- Node0->Node1 -->
<g id="edge1" class="edge">
<title>Node0->Node1</title>
-<path fill="none" stroke="#191970" d="M3019.8012,-786.2226C2692.8317,-778.2207 930.2538,-735.0856 609.2001,-727.2285"/>
-<polygon fill="#191970" stroke="#191970" points="608.9053,-723.7204 598.8226,-726.9746 608.7339,-730.7183 608.9053,-723.7204"/>
+<path fill="none" stroke="#191970" d="M797.3911,-780.8013C890.8194,-768.8557 1084.9413,-744.0356 1176.3551,-732.3475"/>
+<polygon fill="#191970" stroke="#191970" points="1176.9796,-735.7963 1186.4549,-731.0562 1176.0918,-728.8528 1176.9796,-735.7963"/>
</g>
<!-- Node3 -->
<g id="node4" class="node">
<title>Node3</title>
<g id="a_node4"><a xlink:href="node_8h.html" target="_top" xlink:title="Definitions and helper macros for IR/AST nodes. ">
-<polygon fill="#ffffff" stroke="#000000" points="986.5,-548.5 986.5,-567.5 1085.5,-567.5 1085.5,-548.5 986.5,-548.5"/>
-<text text-anchor="middle" x="1036" y="-555.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/node/node.h</text>
+<polygon fill="#ffffff" stroke="#000000" points="1243.5,-548.5 1243.5,-567.5 1342.5,-567.5 1342.5,-548.5 1243.5,-548.5"/>
+<text text-anchor="middle" x="1293" y="-555.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/node/node.h</text>
</a>
</g>
</g>
<!-- Node0->Node3 -->
<g id="edge163" class="edge">
<title>Node0->Node3</title>
-<path fill="none" stroke="#191970" d="M3019.8834,-781.6254C2737.9537,-749.846 1396.901,-598.6811 1096.0125,-564.7647"/>
-<polygon fill="#191970" stroke="#191970" points="1096.0804,-561.2502 1085.7512,-563.608 1095.2962,-568.2062 1096.0804,-561.2502"/>
+<path fill="none" stroke="#191970" d="M780.9558,-772.4419C881.5708,-730.3048 1164.8652,-611.6623 1260.785,-571.4915"/>
+<polygon fill="#191970" stroke="#191970" points="1262.3764,-574.6196 1270.2482,-567.5284 1259.6723,-568.163 1262.3764,-574.6196"/>
+</g>
+<!-- Node14 -->
+<g id="node15" class="node">
+<title>Node14</title>
+<polygon fill="#ffffff" stroke="#bfbfbf" points="294,-62 294,-81 338,-81 338,-62 294,-62"/>
+<text text-anchor="middle" x="316" y="-69" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">string</text>
+</g>
+<!-- Node0->Node14 -->
+<g id="edge165" class="edge">
+<title>Node0->Node14</title>
+<path fill="none" stroke="#191970" d="M692.9092,-784.79C523.645,-775.2983 0,-740.257 0,-670 0,-670 0,-670 0,-189 0,-149.6547 24.8467,-142.5347 59,-123 97.1013,-101.2072 223.7244,-83.0136 283.8152,-75.3704"/>
+<polygon fill="#191970" stroke="#191970" points="284.3983,-78.8248 293.8859,-74.1093 283.5285,-71.8791 284.3983,-78.8248"/>
</g>
<!-- Node33 -->
<g id="node34" class="node">
<title>Node33</title>
<g id="a_node34"><a xlink:href="data__type_8h.html" target="_top" xlink:title="tvm/runtime/data_type.h">
-<polygon fill="#ffffff" stroke="#000000" points="2830,-297 2830,-316 2968,-316 2968,-297 2830,-297"/>
-<text text-anchor="middle" x="2899" y="-304" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/runtime/data_type.h</text>
+<polygon fill="#ffffff" stroke="#000000" points="2716,-297 2716,-316 2854,-316 2854,-297 2716,-297"/>
+<text text-anchor="middle" x="2785" y="-304" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/runtime/data_type.h</text>
</a>
</g>
</g>
<!-- Node0->Node33 -->
<g id="edge164" class="edge">
<title>Node0->Node33</title>
-<path fill="none" stroke="#191970" d="M3080.2454,-772.42C3091.4215,-750.5326 3110,-708.3768 3110,-670 3110,-670 3110,-670 3110,-440.5 3110,-369.3423 3023.4292,-334.3643 2961.1913,-318.4123"/>
-<polygon fill="#191970" stroke="#191970" points="2961.9748,-315.0008 2951.4284,-316.0128 2960.304,-321.7985 2961.9748,-315.0008"/>
+<path fill="none" stroke="#191970" d="M797.1097,-786.2283C1137.8281,-777.7475 3034,-727.947 3034,-670 3034,-670 3034,-670 3034,-440.5 3034,-362.0829 2937.0541,-329.3542 2864.1453,-315.8284"/>
+<polygon fill="#191970" stroke="#191970" points="2864.4856,-312.3345 2854.0297,-314.0446 2863.2699,-319.2281 2864.4856,-312.3345"/>
</g>
<!-- Node2 -->
<g id="node3" class="node">
<title>Node2</title>
<g id="a_node3"><a xlink:href="ir_2span_8h.html" target="_top" xlink:title="Span information for debugging purposes. ">
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-<text text-anchor="middle" x="987" y="-611.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/ir/span.h</text>
+<polygon fill="#ffffff" stroke="#000000" points="1287.5,-604.5 1287.5,-623.5 1368.5,-623.5 1368.5,-604.5 1287.5,-604.5"/>
+<text text-anchor="middle" x="1328" y="-611.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/ir/span.h</text>
</a>
</g>
</g>
<!-- Node1->Node2 -->
<g id="edge2" class="edge">
<title>Node1->Node2</title>
-<path fill="none" stroke="#191970" d="M595.491,-716.4509C673.2726,-696.0969 855.252,-648.4761 940.8941,-626.0651"/>
-<polygon fill="#191970" stroke="#191970" points="941.8132,-629.4425 950.6013,-623.5249 940.041,-622.6706 941.8132,-629.4425"/>
+<path fill="none" stroke="#191970" d="M1255.2142,-716.3822C1273.1513,-709.0632 1295.2476,-697.2693 1309,-680 1319.5499,-666.7521 1324.2419,-647.8887 1326.3286,-633.7186"/>
+<polygon fill="#191970" stroke="#191970" points="1329.8316,-633.8941 1327.5057,-623.5577 1322.8781,-633.0885 1329.8316,-633.8941"/>
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<!-- Node1->Node3 -->
<g id="edge156" class="edge">
<title>Node1->Node3</title>
-<path fill="none" stroke="#191970" d="M585.4815,-716.413C621.2076,-703.4994 686.8436,-679.8457 743,-660 834.7435,-627.5778 942.9126,-590.1208 998.6385,-570.8806"/>
-<polygon fill="#191970" stroke="#191970" points="999.7832,-574.1882 1008.094,-567.617 997.4993,-567.5712 999.7832,-574.1882"/>
+<path fill="none" stroke="#191970" d="M1220.5086,-716.4073C1213.7968,-703.3872 1204.1312,-679.5069 1211,-660 1223.403,-624.7764 1253.6791,-592.7383 1273.7664,-574.314"/>
+<polygon fill="#191970" stroke="#191970" points="1276.2759,-576.7659 1281.4156,-567.5012 1271.6202,-571.5386 1276.2759,-576.7659"/>
</g>
<!-- Node8 -->
<g id="node9" class="node">
<title>Node8</title>
<g id="a_node9"><a xlink:href="object_8h.html" target="_top" xlink:title="A managed object in the TVM runtime. ">
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-<text text-anchor="middle" x="2308" y="-130.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/runtime/object.h</text>
+<polygon fill="#ffffff" stroke="#000000" points="2070.5,-123.5 2070.5,-142.5 2189.5,-142.5 2189.5,-123.5 2070.5,-123.5"/>
+<text text-anchor="middle" x="2130" y="-130.5" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">tvm/runtime/object.h</text>
</a>
</g>
</g>
<!-- Node1->Node8 -->
<g id="edge158" class="edge">
<title>Node1->Node8</title>
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-<title>Node14</title>
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-<text text-anchor="middle" x="285" y="-69" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#000000">string</text>
+<path fill="none" stroke="#191970" d="M1265.7817,-724.7392C1389.7146,-720.6339 1779.8358,-706.3696 2102,-680 2326.187,-661.65 2382.1163,-654.3219 2605,-624 2822.7356,-594.3785 2982.7033,-657.6569 3070,-456 3087.3609,-415.896 3092.7249,-399.1449 3078,-358 3047.0599,-271.5459 2997.6483,-268.1056 2912,-235 2825.1018,-201.4113 2801.7443,-195.2014 2710,-179 2527.8738,-146.8379 2309.5799,-137.1509 2200.0154,-134.242"/>
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<g id="edge161" class="edge">
<title>Node1->Node14</title>
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<div class="contents">
-<a href="doc_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or more contrib [...]
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html_a20ede40f26f74d23ea009eaf5fbf1d32"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html#a20ede40f26f74d23ea009eaf5fbf1d32">tvm::script::printer::LambdaDocNode::args</a></div><div class="ttdeci">Array< IdDoc > args</div><div class="ttdoc">The arguments of this anonymous function. </div><div class="ttdef"><b>Definition:</b> doc.h:544</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDoc_html_a612be10bd4d4ae8cf2db2882783a4ce3"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDoc.html#a612be10bd4d4ae8cf2db2882783a4ce3">tvm::script::printer::IdDoc::IdDoc</a></div><div class="ttdeci">IdDoc(std::nullptr_t)</div><div class="ttdef"><b>Definition:</b> doc.h:316</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a88ad8d893ca3475f1a5cd7fa5e8ce0c2"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a88ad8d893ca3475f1a5cd7fa5e8ce0c2">tvm::script::printer::FunctionDocNode::args</a></div><div class="ttdeci">Array< AssignDoc > args</div><div class="ttdoc">The arguments of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1090</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDoc.html">tvm::script::printer::IfDoc</a></div><div class="ttdoc">Reference type of IfDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:817</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDocNode_html_ac2bf61995021ab93ee6a7381c68b491f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDocNode.html#ac2bf61995021ab93ee6a7381c68b491f">tvm::script::printer::StmtDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:156</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_a4b1920c995c6e358dcd788d76c668aa8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#a4b1920c995c6e358dcd788d76c668aa8">tvm::script::printer::ClassDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of class. </div><div class="ttdef"><b>Definition:</b> doc.h:1143</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html">tvm::script::printer::DictDocNode</a></div><div class="ttdoc">Doc that represents dictionary literal. </div><div class="ttdef"><b>Definition:</b> doc.h:655</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a71eafec33566f09b9ce23e4daf4910fc"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a71eafec33566f09b9ce23e4daf4910fc">tvm::script::printer::SliceDocNode::step</a></div><div class="ttdeci">Optional< ExprDoc > step</div><div class="ttdoc">The step of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:711</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_ae198909f8e613a84bcd4f74603f31894"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#ae198909f8e613a84bcd4f74603f31894">tvm::script::printer::ClassDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1145</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html_a06eb9b7f49f298978f33012b6d44ddb8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html#a06eb9b7f49f298978f33012b6d44ddb8">tvm::script::printer::TupleDocNode::elements</a></div><div class="ttdeci">Array< ExprDoc > elements</div><div class="ttdoc">Elements of tuple. </div><div class="ttdef"><b>Definition:</b> doc.h:582</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html">tvm::script::printer::AssignDocNode</a></div><div class="ttdoc">Doc that represents assign statement. </div><div class="ttdef"><b>Definition:</b> doc.h:746</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDoc.html">tvm::script::printer::IdDoc</a></div><div class="ttdoc">Reference type of IdDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:309</div></div>
+<a href="doc_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or more contrib [...]
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html_a20ede40f26f74d23ea009eaf5fbf1d32"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html#a20ede40f26f74d23ea009eaf5fbf1d32">tvm::script::printer::LambdaDocNode::args</a></div><div class="ttdeci">Array< IdDoc > args</div><div class="ttdoc">The arguments of this anonymous function. </div><div class="ttdef"><b>Definition:</b> doc.h:560</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_a8423a0ede5a29b24f6db5d9f6574a200"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">tvm::script::printer::LiteralDoc::Str</a></div><div class="ttdeci">static LiteralDoc Str(const String &v, const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent string. </div><div class="ttdef"><b>Definition:</b> doc.h:287</d [...]
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDoc_html_a612be10bd4d4ae8cf2db2882783a4ce3"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDoc.html#a612be10bd4d4ae8cf2db2882783a4ce3">tvm::script::printer::IdDoc::IdDoc</a></div><div class="ttdeci">IdDoc(std::nullptr_t)</div><div class="ttdef"><b>Definition:</b> doc.h:332</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a88ad8d893ca3475f1a5cd7fa5e8ce0c2"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a88ad8d893ca3475f1a5cd7fa5e8ce0c2">tvm::script::printer::FunctionDocNode::args</a></div><div class="ttdeci">Array< AssignDoc > args</div><div class="ttdoc">The arguments of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1106</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDoc.html">tvm::script::printer::IfDoc</a></div><div class="ttdoc">Reference type of IfDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:833</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDocNode_html_ac2bf61995021ab93ee6a7381c68b491f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDocNode.html#ac2bf61995021ab93ee6a7381c68b491f">tvm::script::printer::StmtDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:158</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_a4b1920c995c6e358dcd788d76c668aa8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#a4b1920c995c6e358dcd788d76c668aa8">tvm::script::printer::ClassDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of class. </div><div class="ttdef"><b>Definition:</b> doc.h:1159</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html">tvm::script::printer::DictDocNode</a></div><div class="ttdoc">Doc that represents dictionary literal. </div><div class="ttdef"><b>Definition:</b> doc.h:671</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a71eafec33566f09b9ce23e4daf4910fc"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a71eafec33566f09b9ce23e4daf4910fc">tvm::script::printer::SliceDocNode::step</a></div><div class="ttdeci">Optional< ExprDoc > step</div><div class="ttdoc">The step of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:727</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_ae198909f8e613a84bcd4f74603f31894"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#ae198909f8e613a84bcd4f74603f31894">tvm::script::printer::ClassDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1161</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html_a06eb9b7f49f298978f33012b6d44ddb8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html#a06eb9b7f49f298978f33012b6d44ddb8">tvm::script::printer::TupleDocNode::elements</a></div><div class="ttdeci">Array< ExprDoc > elements</div><div class="ttdoc">Elements of tuple. </div><div class="ttdef"><b>Definition:</b> doc.h:598</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html">tvm::script::printer::AssignDocNode</a></div><div class="ttdoc">Doc that represents assign statement. </div><div class="ttdef"><b>Definition:</b> doc.h:762</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDoc.html">tvm::script::printer::IdDoc</a></div><div class="ttdoc">Reference type of IdDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:325</div></div>
<div class="ttc" id="node_8h_html"><div class="ttname"><a href="node_8h.html">node.h</a></div><div class="ttdoc">Definitions and helper macros for IR/AST nodes. </div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html">tvm::script::printer::StmtBlockDocNode</a></div><div class="ttdoc">The container doc that holds a list of StmtDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:184</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDoc.html">tvm::script::printer::StmtDoc</a></div><div class="ttdoc">Reference type of StmtDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:170</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html">tvm::script::printer::StmtBlockDocNode</a></div><div class="ttdoc">The container doc that holds a list of StmtDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:186</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDoc.html">tvm::script::printer::StmtDoc</a></div><div class="ttdoc">Reference type of StmtDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:172</div></div>
<div class="ttc" id="namespacetvm_1_1runtime_html_ac360f2d9815036ab1b4d84d9cfb46b4f"><div class="ttname"><a href="namespacetvm_1_1runtime.html#ac360f2d9815036ab1b4d84d9cfb46b4f">tvm::runtime::DLDataType2String</a></div><div class="ttdeci">std::string DLDataType2String(DLDataType t)</div><div class="ttdoc">convert a TVM type to string. </div><div class="ttdef"><b>Definition:</b> data_type.h:341</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html_a4b5e2a6863460473dca71c989ee3fb8c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html#a4b5e2a6863460473dca71c989ee3fb8c">tvm::script::printer::ListDocNode::elements</a></div><div class="ttdeci">Array< ExprDoc > elements</div><div class="ttdoc">Elements of list. </div><div class="ttdef"><b>Definition:</b> doc.h:620</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a5cf20bfaa5aee424f69882287ba646b0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a5cf20bfaa5aee424f69882287ba646b0">tvm::script::printer::OperationDocNode::operands</a></div><div class="ttdeci">Array< ExprDoc > operands</div><div class="ttdoc">Operands of this expression. </div><div class="ttdef"><b>Definition:</b> doc.h:505</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html_a77b63c411fa93643fc1e92e5599dae1a"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html#a77b63c411fa93643fc1e92e5599dae1a">tvm::script::printer::LiteralDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:230</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a5bfd7179298fe5bcbc9527af2b3b98e0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a5bfd7179298fe5bcbc9527af2b3b98e0">tvm::script::printer::FunctionDocNode::decorators</a></div><div class="ttdeci">Array< ExprDoc > decorators</div><div class="ttdoc">Decorators of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1092</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html_a4b5e2a6863460473dca71c989ee3fb8c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html#a4b5e2a6863460473dca71c989ee3fb8c">tvm::script::printer::ListDocNode::elements</a></div><div class="ttdeci">Array< ExprDoc > elements</div><div class="ttdoc">Elements of list. </div><div class="ttdef"><b>Definition:</b> doc.h:636</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a5cf20bfaa5aee424f69882287ba646b0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a5cf20bfaa5aee424f69882287ba646b0">tvm::script::printer::OperationDocNode::operands</a></div><div class="ttdeci">Array< ExprDoc > operands</div><div class="ttdoc">Operands of this expression. </div><div class="ttdef"><b>Definition:</b> doc.h:521</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html_a77b63c411fa93643fc1e92e5599dae1a"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html#a77b63c411fa93643fc1e92e5599dae1a">tvm::script::printer::LiteralDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:232</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a5bfd7179298fe5bcbc9527af2b3b98e0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a5bfd7179298fe5bcbc9527af2b3b98e0">tvm::script::printer::FunctionDocNode::decorators</a></div><div class="ttdeci">Array< ExprDoc > decorators</div><div class="ttdoc">Decorators of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1108</div></div>
<div class="ttc" id="ir_2expr_8h_html"><div class="ttname"><a href="ir_2expr_8h.html">expr.h</a></div><div class="ttdoc">Base expr nodes in TVM. </div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_af314e162f31c64a459652dba771778c5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#af314e162f31c64a459652dba771778c5">tvm::script::printer::DocNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> doc.h:56</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_af314e162f31c64a459652dba771778c5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#af314e162f31c64a459652dba771778c5">tvm::script::printer::DocNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> doc.h:58</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_ab0a0ccbeb39cc510cb3bf37acdc2e0bc"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">tvm::script::printer::LiteralDoc::Boolean</a></div><div class="ttdeci">static LiteralDoc Boolean(bool v, const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent boolean. </div><div class="ttdef"><b>Definition:</b> doc.h:271</div></div>
<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a6202cee16104155937f3e64c703f6885"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a6202cee16104155937f3e64c703f6885">tvm::script::printer::DocNode::~DocNode</a></div><div class="ttdeci">virtual ~DocNode()=default</div></div>
<div class="ttc" id="namespacetvm_1_1runtime_html_a5ca61f3e3dd7af5ee94ed7886f638ee5"><div class="ttname"><a href="namespacetvm_1_1runtime.html#a5ca61f3e3dd7af5ee94ed7886f638ee5">tvm::runtime::make_object</a></div><div class="ttdeci">ObjectPtr< ArrayNode > make_object()</div><div class="ttdef"><b>Definition:</b> array.h:849</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a5ddbff022bf8ac02261df5462aac3b5a"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a5ddbff022bf8ac02261df5462aac3b5a">tvm::script::printer::FunctionDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1096</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a5ddbff022bf8ac02261df5462aac3b5a"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a5ddbff022bf8ac02261df5462aac3b5a">tvm::script::printer::FunctionDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of function. </div><div class="ttdef"><b>Definition:</b> doc.h:1112</div></div>
<div class="ttc" id="namespacetvm_html"><div class="ttname"><a href="namespacetvm.html">tvm</a></div><div class="ttdoc">runtime implementation for LibTorch/TorchScript. </div><div class="ttdef"><b>Definition:</b> analyzer.h:36</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html">tvm::script::printer::LiteralDocNode</a></div><div class="ttdoc">Doc that represents literal value. </div><div class="ttdef"><b>Definition:</b> doc.h:217</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDoc.html">tvm::script::printer::ForDoc</a></div><div class="ttdoc">Reference type of ForDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:901</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1Doc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></div><div class="ttdoc">Reference type of DocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:68</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html_a34352823497468261204f4faab74a80f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html#a34352823497468261204f4faab74a80f">tvm::script::printer::LiteralDocNode::value</a></div><div class="ttdeci">ObjectRef value</div><div class="ttdoc">the internal representation of the literal value. </div><div class="ttdef"><b>Definition:</b> doc.h:228</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html_a42c294b30207934d9d25c936207dd735"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html#a42c294b30207934d9d25c936207dd735">tvm::script::printer::ListDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:622</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDocNode.html">tvm::script::printer::ExprDocNode</a></div><div class="ttdoc">The base class of expression doc. </div><div class="ttdef"><b>Definition:</b> doc.h:84</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html">tvm::script::printer::ForDocNode</a></div><div class="ttdoc">Doc that represents for statement. </div><div class="ttdef"><b>Definition:</b> doc.h:876</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDocNode.html">tvm::script::printer::StmtDocNode</a></div><div class="ttdoc">The base class of statement doc. </div><div class="ttdef"><b>Definition:</b> doc.h:144</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDoc.html">tvm::script::printer::WhileDoc</a></div><div class="ttdoc">Reference type of WhileDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:856</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode.html">tvm::script::printer::ExprStmtDocNode</a></div><div class="ttdoc">Doc that represents an expression as statement. </div><div class="ttdef"><b>Definition:</b> doc.h:973</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html">tvm::script::printer::ScopeDocNode</a></div><div class="ttdoc">Doc that represents special scopes. </div><div class="ttdef"><b>Definition:</b> doc.h:923</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDoc.html">tvm::script::printer::ScopeDoc</a></div><div class="ttdoc">Reference type of ScopeDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:948</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_adacd976d06e1e1fc8357133efbadb554"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#adacd976d06e1e1fc8357133efbadb554">tvm::script::printer::AssignDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:759</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html_a86e7966602f58b018ed2ba3f902e2749"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html#a86e7966602f58b018ed2ba3f902e2749">tvm::script::printer::IdDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:295</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDoc.html">tvm::script::printer::AttrAccessDoc</a></div><div class="ttdoc">Reference type of AttrAccessDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:347</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDoc.html">tvm::script::printer::ClassDoc</a></div><div class="ttdoc">Reference type of ClassDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1161</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a684ebfc74875affa31b198c75296fdc1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a684ebfc74875affa31b198c75296fdc1">tvm::script::printer::OperationDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:507</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode_html_ae24f82a9e9af72bdda822dce009bd7de"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode.html#ae24f82a9e9af72bdda822dce009bd7de">tvm::script::printer::ExprStmtDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:978</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_aba631f46a162ffe0d89ee50d2c38dcc5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#aba631f46a162ffe0d89ee50d2c38dcc5">tvm::script::printer::DictDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:667</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_a436fcace00d445213fc367ece59c4067"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#a436fcace00d445213fc367ece59c4067">tvm::script::printer::AssignDocNode::rhs</a></div><div class="ttdeci">Optional< ExprDoc > rhs</div><div class="ttdoc">The right hand side of the assignment. </div><div class="ttdef"><b>Definition:</b> doc.h:755</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html">tvm::script::printer::LiteralDocNode</a></div><div class="ttdoc">Doc that represents literal value. </div><div class="ttdef"><b>Definition:</b> doc.h:219</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDoc.html">tvm::script::printer::ForDoc</a></div><div class="ttdoc">Reference type of ForDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:917</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1Doc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1Doc.html">tvm::script::printer::Doc</a></div><div class="ttdoc">Reference type of DocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:70</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDocNode_html_a34352823497468261204f4faab74a80f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDocNode.html#a34352823497468261204f4faab74a80f">tvm::script::printer::LiteralDocNode::value</a></div><div class="ttdeci">ObjectRef value</div><div class="ttdoc">the internal representation of the literal value. </div><div class="ttdef"><b>Definition:</b> doc.h:230</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html_a42c294b30207934d9d25c936207dd735"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html#a42c294b30207934d9d25c936207dd735">tvm::script::printer::ListDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:638</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_a1a90c18a43f22d5c2eefe5be0c48b91b"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a1a90c18a43f22d5c2eefe5be0c48b91b">tvm::script::printer::LiteralDoc::Float</a></div><div class="ttdeci">static LiteralDoc Float(double v, const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent float. </div><div class="ttdef"><b>Definition:</b> doc.h:279</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDocNode.html">tvm::script::printer::ExprDocNode</a></div><div class="ttdoc">The base class of expression doc. </div><div class="ttdef"><b>Definition:</b> doc.h:86</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html">tvm::script::printer::ForDocNode</a></div><div class="ttdoc">Doc that represents for statement. </div><div class="ttdef"><b>Definition:</b> doc.h:892</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtDocNode.html">tvm::script::printer::StmtDocNode</a></div><div class="ttdoc">The base class of statement doc. </div><div class="ttdef"><b>Definition:</b> doc.h:146</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_a3b88804f3208f2a7abc8641ee978776e"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3b88804f3208f2a7abc8641ee978776e">tvm::script::printer::LiteralDoc::Int</a></div><div class="ttdeci">static LiteralDoc Int(int64_t v, const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent integer. </div><div class="ttdef"><b>Definition:</b> doc.h:263</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDoc.html">tvm::script::printer::WhileDoc</a></div><div class="ttdoc">Reference type of WhileDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:872</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode.html">tvm::script::printer::ExprStmtDocNode</a></div><div class="ttdoc">Doc that represents an expression as statement. </div><div class="ttdef"><b>Definition:</b> doc.h:989</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html">tvm::script::printer::ScopeDocNode</a></div><div class="ttdoc">Doc that represents special scopes. </div><div class="ttdef"><b>Definition:</b> doc.h:939</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDoc.html">tvm::script::printer::ScopeDoc</a></div><div class="ttdoc">Reference type of ScopeDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:964</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_adacd976d06e1e1fc8357133efbadb554"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#adacd976d06e1e1fc8357133efbadb554">tvm::script::printer::AssignDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:775</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html_a86e7966602f58b018ed2ba3f902e2749"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html#a86e7966602f58b018ed2ba3f902e2749">tvm::script::printer::IdDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:311</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDoc.html">tvm::script::printer::AttrAccessDoc</a></div><div class="ttdoc">Reference type of AttrAccessDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:363</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDoc.html">tvm::script::printer::ClassDoc</a></div><div class="ttdoc">Reference type of ClassDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1177</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a684ebfc74875affa31b198c75296fdc1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a684ebfc74875affa31b198c75296fdc1">tvm::script::printer::OperationDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:523</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode_html_ae24f82a9e9af72bdda822dce009bd7de"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDocNode.html#ae24f82a9e9af72bdda822dce009bd7de">tvm::script::printer::ExprStmtDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:994</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_aba631f46a162ffe0d89ee50d2c38dcc5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#aba631f46a162ffe0d89ee50d2c38dcc5">tvm::script::printer::DictDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:683</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_a436fcace00d445213fc367ece59c4067"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#a436fcace00d445213fc367ece59c4067">tvm::script::printer::AssignDocNode::rhs</a></div><div class="ttdeci">Optional< ExprDoc > rhs</div><div class="ttdoc">The right hand side of the assignment. </div><div class="ttdef"><b>Definition:</b> doc.h:771</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1Object_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Object.html">tvm::runtime::Object</a></div><div class="ttdoc">base class of all object containers. </div><div class="ttdef"><b>Definition:</b> object.h:167</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDoc.html">tvm::script::printer::OperationDoc</a></div><div class="ttdoc">Reference type of OperationDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:522</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html_ac331908e771044ca4089771a0ffeafc1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html#ac331908e771044ca4089771a0ffeafc1">tvm::script::printer::ScopeDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the scope doc. </div><div class="ttdef"><b>Definition:</b> doc.h:930</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_aad7a2c38982b0a9d5f874eaf3e4676ba"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aad7a2c38982b0a9d5f874eaf3e4676ba">tvm::script::printer::LiteralDoc::Float</a></div><div class="ttdeci">static LiteralDoc Float(double v)</div><div class="ttdoc">Create a LiteralDoc to represent float. </div><div class="ttdef"><b>Definition:</b> doc.h:268</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html_a67040f2d50d56e161b1f7aa3876e3e20"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html#a67040f2d50d56e161b1f7aa3876e3e20">tvm::script::printer::AttrAccessDocNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The attribute to be accessed. </div><div class="ttdef"><b>Definition:</b> doc.h:330</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html_ad761986f917adb9725ee1280ad032880"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html#ad761986f917adb9725ee1280ad032880">tvm::script::printer::IndexDocNode::indices</a></div><div class="ttdeci">Array< Doc > indices</div><div class="ttdoc">The indices to access. </div><div class="ttdef"><b>Definition:</b> doc.h:374</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_ad7b614de314ca220044ccfd78e4a9640"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad7b614de314ca220044ccfd78e4a9640">tvm::script::printer::LiteralDoc::None</a></div><div class="ttdeci">static LiteralDoc None()</div><div class="ttdoc">Create a LiteralDoc to represent None/null/empty value. </div><div class="ttdef"><b>Definition:</b> doc.h:253</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html_a5c61272c44976dd9df6daf34cb26fb81"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html#a5c61272c44976dd9df6daf34cb26fb81">tvm::script::printer::AttrAccessDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:332</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDoc.html">tvm::script::printer::OperationDoc</a></div><div class="ttdoc">Reference type of OperationDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:538</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html_ac331908e771044ca4089771a0ffeafc1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html#ac331908e771044ca4089771a0ffeafc1">tvm::script::printer::ScopeDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the scope doc. </div><div class="ttdef"><b>Definition:</b> doc.h:946</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html_a67040f2d50d56e161b1f7aa3876e3e20"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html#a67040f2d50d56e161b1f7aa3876e3e20">tvm::script::printer::AttrAccessDocNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The attribute to be accessed. </div><div class="ttdef"><b>Definition:</b> doc.h:346</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html_ad761986f917adb9725ee1280ad032880"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html#ad761986f917adb9725ee1280ad032880">tvm::script::printer::IndexDocNode::indices</a></div><div class="ttdeci">Array< Doc > indices</div><div class="ttdoc">The indices to access. </div><div class="ttdef"><b>Definition:</b> doc.h:390</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html_a5c61272c44976dd9df6daf34cb26fb81"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html#a5c61272c44976dd9df6daf34cb26fb81">tvm::script::printer::AttrAccessDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:348</div></div>
<div class="ttc" id="classtvm_1_1FloatImm_html"><div class="ttname"><a href="classtvm_1_1FloatImm.html">tvm::FloatImm</a></div><div class="ttdoc">Managed reference class to FloatImmNode. </div><div class="ttdef"><b>Definition:</b> expr.h:576</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDocNode_html_af03dd1b2e3d5695c273e01d4c4d40c33"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDocNode.html#af03dd1b2e3d5695c273e01d4c4d40c33">tvm::script::printer::ExprDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:114</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html">tvm::script::printer::FunctionDocNode</a></div><div class="ttdoc">Doc that represents function definition. </div><div class="ttdef"><b>Definition:</b> doc.h:1079</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDocNode_html_af03dd1b2e3d5695c273e01d4c4d40c33"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDocNode.html#af03dd1b2e3d5695c273e01d4c4d40c33">tvm::script::printer::ExprDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:116</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html">tvm::script::printer::FunctionDocNode</a></div><div class="ttdoc">Doc that represents function definition. </div><div class="ttdef"><b>Definition:</b> doc.h:1095</div></div>
<div class="ttc" id="classtvm_1_1AttrVisitor_html"><div class="ttname"><a href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a></div><div class="ttdoc">Visitor class to get the attributes of an AST/IR node. The content is going to be called for each fie...</div><div class="ttdef"><b>Definition:</b> reflection.h:52</div></div>
<div class="ttc" id="namespacetvm_1_1script_1_1ir__builder_1_1tir_html_a7a8f20d29de99ce15b603c5e6ace3ca0"><div class="ttname"><a href="namespacetvm_1_1script_1_1ir__builder_1_1tir.html#a7a8f20d29de99ce15b603c5e6ace3ca0">tvm::script::ir_builder::tir::Attr</a></div><div class="ttdeci">AttrFrame Attr(ObjectRef node, String attr_key, PrimExpr value)</div><div class="ttdoc">Create an attribute. </div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></div><div class="ttdoc">Reference type of LiteralDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:244</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a8433d901c80f64cc87f5c36b7f21bb00"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a8433d901c80f64cc87f5c36b7f21bb00">tvm::script::printer::IfDocNode::else_branch</a></div><div class="ttdeci">Array< StmtDoc > else_branch</div><div class="ttdoc">The else branch of the if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:799</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a2e02a9e2b7d03c975c0a7286219efa17"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a2e02a9e2b7d03c975c0a7286219efa17">tvm::script::printer::CallDocNode::kwargs_values</a></div><div class="ttdeci">Array< ExprDoc > kwargs_values</div><div class="ttdoc">The values of keyword arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:421</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a7ea3837303b6d2ef65e6b7653af62ef6"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a7ea3837303b6d2ef65e6b7653af62ef6">tvm::script::printer::DocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:54</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html">tvm::script::printer::DocNode</a></div><div class="ttdoc">The base class of all Doc. </div><div class="ttdef"><b>Definition:</b> doc.h:43</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html">tvm::script::printer::LiteralDoc</a></div><div class="ttdoc">Reference type of LiteralDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:246</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a8433d901c80f64cc87f5c36b7f21bb00"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a8433d901c80f64cc87f5c36b7f21bb00">tvm::script::printer::IfDocNode::else_branch</a></div><div class="ttdeci">Array< StmtDoc > else_branch</div><div class="ttdoc">The else branch of the if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:815</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a2e02a9e2b7d03c975c0a7286219efa17"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a2e02a9e2b7d03c975c0a7286219efa17">tvm::script::printer::CallDocNode::kwargs_values</a></div><div class="ttdeci">Array< ExprDoc > kwargs_values</div><div class="ttdoc">The values of keyword arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:437</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a7ea3837303b6d2ef65e6b7653af62ef6"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a7ea3837303b6d2ef65e6b7653af62ef6">tvm::script::printer::DocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:56</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html">tvm::script::printer::DocNode</a></div><div class="ttdoc">The base class of all Doc. </div><div class="ttdef"><b>Definition:</b> doc.h:45</div></div>
<div class="ttc" id="namespacetvm_1_1arith_html_ac6a38da661cd3681eb85abe1cd810422aad0250170b362173e1e2a2e3a6f13d20"><div class="ttname"><a href="namespacetvm_1_1arith.html#ac6a38da661cd3681eb85abe1cd810422aad0250170b362173e1e2a2e3a6f13d20">tvm::arith::kFloorDiv</a></div><div class="ttdoc">Floor division. </div><div class="ttdef"><b>Definition:</b> analyzer.h:59</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDocNode.html">tvm::script::printer::AssertDocNode</a></div><div class="ttdoc">Doc that represents assert statement. </div><div class="ttdef"><b>Definition:</b> doc.h:1007</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDoc.html">tvm::script::printer::DictDoc</a></div><div class="ttdoc">Reference type of DictDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:682</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_a789d7d73bd4d94612fa2a84c16b26b89"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a789d7d73bd4d94612fa2a84c16b26b89">tvm::script::printer::LiteralDoc::Str</a></div><div class="ttdeci">static LiteralDoc Str(const String &v)</div><div class="ttdoc">Create a LiteralDoc to represent string. </div><div class="ttdef"><b>Definition:</b> doc.h:273</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html">tvm::script::printer::OperationDocNode</a></div><div class="ttdoc">Doc that represents operation. </div><div class="ttdef"><b>Definition:</b> doc.h:462</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDocNode.html">tvm::script::printer::AssertDocNode</a></div><div class="ttdoc">Doc that represents assert statement. </div><div class="ttdef"><b>Definition:</b> doc.h:1023</div></div>
+<div class="ttc" id="classtvm_1_1runtime_1_1DataType_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html">tvm::runtime::DataType</a></div><div class="ttdoc">Runtime primitive data type. </div><div class="ttdef"><b>Definition:</b> data_type.h:41</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDoc.html">tvm::script::printer::DictDoc</a></div><div class="ttdoc">Reference type of DictDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:698</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html">tvm::script::printer::OperationDocNode</a></div><div class="ttdoc">Doc that represents operation. </div><div class="ttdef"><b>Definition:</b> doc.h:478</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1DataType_html_a237a714a6a16e14aa01fa4ac52426551"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html#a237a714a6a16e14aa01fa4ac52426551">tvm::runtime::DataType::Float</a></div><div class="ttdeci">static DataType Float(int bits, int lanes=1)</div><div class="ttdoc">Construct an float type. </div><div class="ttdef"><b>Definition:</b> data_type.h:178</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_adf4d8759e01746a0da3b03146b7baf00"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#adf4d8759e01746a0da3b03146b7baf00">tvm::script::printer::LiteralDoc::DataType</a></div><div class="ttdeci">static LiteralDoc DataType(const runtime::DataType &v, const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent string. </div><div class="ttdef"><b>Definit [...]
<div class="ttc" id="classtvm_1_1runtime_1_1Array_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html">tvm::runtime::Array</a></div><div class="ttdoc">Array, container representing a contiguous sequence of ObjectRefs. </div><div class="ttdef"><b>Definition:</b> array.h:289</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html_a001030671efb796c6bfa0d4af5ac7b69"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html#a001030671efb796c6bfa0d4af5ac7b69">tvm::script::printer::ScopeDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:932</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ScopeDocNode_html_a001030671efb796c6bfa0d4af5ac7b69"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ScopeDocNode.html#a001030671efb796c6bfa0d4af5ac7b69">tvm::script::printer::ScopeDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:948</div></div>
<div class="ttc" id="classtvm_1_1IntImm_html"><div class="ttname"><a href="classtvm_1_1IntImm.html">tvm::IntImm</a></div><div class="ttdoc">Managed reference class to IntImmNode. </div><div class="ttdef"><b>Definition:</b> expr.h:529</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDoc.html">tvm::script::printer::CallDoc</a></div><div class="ttdoc">Reference type of CallDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:440</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html_a57c4675d44c2525190aaea4aa9ad934c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html#a57c4675d44c2525190aaea4aa9ad934c">tvm::script::printer::LambdaDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:548</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a16de0189a979a6cf9d8f14b39cb5fb54"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a16de0189a979a6cf9d8f14b39cb5fb54">tvm::script::printer::SliceDocNode::start</a></div><div class="ttdeci">Optional< ExprDoc > start</div><div class="ttdoc">The start of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:707</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDoc.html">tvm::script::printer::CallDoc</a></div><div class="ttdoc">Reference type of CallDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:456</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html_a57c4675d44c2525190aaea4aa9ad934c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html#a57c4675d44c2525190aaea4aa9ad934c">tvm::script::printer::LambdaDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:564</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a16de0189a979a6cf9d8f14b39cb5fb54"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a16de0189a979a6cf9d8f14b39cb5fb54">tvm::script::printer::SliceDocNode::start</a></div><div class="ttdeci">Optional< ExprDoc > start</div><div class="ttdoc">The start of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:723</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1String_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1String.html">tvm::runtime::String</a></div><div class="ttdoc">Reference to string objects. </div><div class="ttdef"><b>Definition:</b> string.h:97</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a29e21c8f39639d1d30697971267847a8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a29e21c8f39639d1d30697971267847a8">tvm::script::printer::DocNode::source_paths</a></div><div class="ttdeci">Array< ObjectPath > source_paths</div><div class="ttdoc">The list of object paths of the source IR node. </div><div class="ttdef"><b>Definition:</b> doc.h:52</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a62fc9e7341b5bc727b64a61f69634944"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a62fc9e7341b5bc727b64a61f69634944">tvm::script::printer::FunctionDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1098</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html_a6e850c4d876a4833700749ea90a311ef"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html#a6e850c4d876a4833700749ea90a311ef">tvm::script::printer::WhileDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:841</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a29e21c8f39639d1d30697971267847a8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a29e21c8f39639d1d30697971267847a8">tvm::script::printer::DocNode::source_paths</a></div><div class="ttdeci">Array< ObjectPath > source_paths</div><div class="ttdoc">The list of object paths of the source IR node. </div><div class="ttdef"><b>Definition:</b> doc.h:54</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDocNode_html_a62fc9e7341b5bc727b64a61f69634944"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDocNode.html#a62fc9e7341b5bc727b64a61f69634944">tvm::script::printer::FunctionDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1114</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html_a6e850c4d876a4833700749ea90a311ef"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html#a6e850c4d876a4833700749ea90a311ef">tvm::script::printer::WhileDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:857</div></div>
<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DocNode_html_a78585f033948da5d1a4121aa7b969c47"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DocNode.html#a78585f033948da5d1a4121aa7b969c47">tvm::script::printer::DocNode::TVM_DECLARE_BASE_OBJECT_INFO</a></div><div class="ttdeci">TVM_DECLARE_BASE_OBJECT_INFO(DocNode, Object)</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDoc_html_a8cedc24d34db6c6a185912bb41df562d"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDoc.html#a8cedc24d34db6c6a185912bb41df562d">tvm::script::printer::DictDoc::DictDoc</a></div><div class="ttdeci">DictDoc()</div><div class="ttdoc">Create an empty dictionary. </div><div class="ttdef"><b>Definition:</b> doc.h:687</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a4249199a2f3d5441eec11473be7873f5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a4249199a2f3d5441eec11473be7873f5">tvm::script::printer::CallDocNode::args</a></div><div class="ttdeci">Array< ExprDoc > args</div><div class="ttdoc">The positional arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:412</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html">tvm::script::printer::LambdaDocNode</a></div><div class="ttdoc">Doc that represents anonymous function. </div><div class="ttdef"><b>Definition:</b> doc.h:541</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a6754bea55b2973ee06141454881521a0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a6754bea55b2973ee06141454881521a0">tvm::script::printer::CallDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:423</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a29219a3b147231db0a17b5ad0b528dcd"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a29219a3b147231db0a17b5ad0b528dcd">tvm::script::printer::SliceDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:713</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html">tvm::script::printer::IfDocNode</a></div><div class="ttdoc">Doc that represent if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:792</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html_a942cea5820d5170596d979ed148ed69f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html#a942cea5820d5170596d979ed148ed69f">tvm::script::printer::WhileDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the while statement. </div><div class="ttdef"><b>Definition:</b> doc.h:839</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDocNode_html_aa56a6f1036cf00b3b77e1b4f1eec3e88"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDocNode.html#aa56a6f1036cf00b3b77e1b4f1eec3e88">tvm::script::printer::AssertDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1014</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a1cc91ce9cb679b1ee30d3a72fd607280"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a1cc91ce9cb679b1ee30d3a72fd607280">tvm::script::printer::IfDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:801</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDoc.html">tvm::script::printer::IndexDoc</a></div><div class="ttdoc">Reference type of IndexDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:391</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDoc.html">tvm::script::printer::ExprStmtDoc</a></div><div class="ttdoc">Reference type of ExprStmtDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:992</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a9b996402fa4a7202d749c56ac044e810"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a9b996402fa4a7202d749c56ac044e810">tvm::script::printer::OperationDocNode::kind</a></div><div class="ttdeci">Kind kind</div><div class="ttdoc">The kind of operation (operator) </div><div class="ttdef"><b>Definition:</b> doc.h:503</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDoc.html">tvm::script::printer::SliceDoc</a></div><div class="ttdoc">Reference type of SliceDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:729</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDoc_html_a8cedc24d34db6c6a185912bb41df562d"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDoc.html#a8cedc24d34db6c6a185912bb41df562d">tvm::script::printer::DictDoc::DictDoc</a></div><div class="ttdeci">DictDoc()</div><div class="ttdoc">Create an empty dictionary. </div><div class="ttdef"><b>Definition:</b> doc.h:703</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a4249199a2f3d5441eec11473be7873f5"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a4249199a2f3d5441eec11473be7873f5">tvm::script::printer::CallDocNode::args</a></div><div class="ttdeci">Array< ExprDoc > args</div><div class="ttdoc">The positional arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:428</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDocNode.html">tvm::script::printer::LambdaDocNode</a></div><div class="ttdoc">Doc that represents anonymous function. </div><div class="ttdef"><b>Definition:</b> doc.h:557</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a6754bea55b2973ee06141454881521a0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a6754bea55b2973ee06141454881521a0">tvm::script::printer::CallDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:439</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_a29219a3b147231db0a17b5ad0b528dcd"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#a29219a3b147231db0a17b5ad0b528dcd">tvm::script::printer::SliceDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:729</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html">tvm::script::printer::IfDocNode</a></div><div class="ttdoc">Doc that represent if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:808</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html_a942cea5820d5170596d979ed148ed69f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html#a942cea5820d5170596d979ed148ed69f">tvm::script::printer::WhileDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the while statement. </div><div class="ttdef"><b>Definition:</b> doc.h:855</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDocNode_html_aa56a6f1036cf00b3b77e1b4f1eec3e88"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDocNode.html#aa56a6f1036cf00b3b77e1b4f1eec3e88">tvm::script::printer::AssertDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:1030</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a1cc91ce9cb679b1ee30d3a72fd607280"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a1cc91ce9cb679b1ee30d3a72fd607280">tvm::script::printer::IfDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:817</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDoc.html">tvm::script::printer::IndexDoc</a></div><div class="ttdoc">Reference type of IndexDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:407</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprStmtDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprStmtDoc.html">tvm::script::printer::ExprStmtDoc</a></div><div class="ttdoc">Reference type of ExprStmtDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1008</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_a9b996402fa4a7202d749c56ac044e810"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a9b996402fa4a7202d749c56ac044e810">tvm::script::printer::OperationDocNode::kind</a></div><div class="ttdeci">Kind kind</div><div class="ttdoc">The kind of operation (operator) </div><div class="ttdef"><b>Definition:</b> doc.h:519</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDoc.html">tvm::script::printer::SliceDoc</a></div><div class="ttdoc">Reference type of SliceDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:745</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1ObjectRef_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></div><div class="ttdoc">Base class of all object reference. </div><div class="ttdef"><b>Definition:</b> object.h:511</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html_a6e657ac6d7579ff0bf1d02e715edf3db"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html#a6e657ac6d7579ff0bf1d02e715edf3db">tvm::script::printer::StmtBlockDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:189</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDoc.html">tvm::script::printer::ListDoc</a></div><div class="ttdoc">Reference type of ListDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:636</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html">tvm::script::printer::CallDocNode</a></div><div class="ttdoc">Doc that represents function call. </div><div class="ttdef"><b>Definition:</b> doc.h:407</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_ab096bbea749ee994d75230cd8136afc2"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#ab096bbea749ee994d75230cd8136afc2">tvm::script::printer::OperationDocNode::Kind</a></div><div class="ttdeci">Kind</div><div class="ttdef"><b>Definition:</b> doc.h:464</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDoc.html">tvm::script::printer::AssertDoc</a></div><div class="ttdoc">Reference type of AssertDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1029</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html_a6e657ac6d7579ff0bf1d02e715edf3db"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html#a6e657ac6d7579ff0bf1d02e715edf3db">tvm::script::printer::StmtBlockDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:191</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDoc.html">tvm::script::printer::ListDoc</a></div><div class="ttdoc">Reference type of ListDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:652</div></div>
+<div class="ttc" id="classtvm_1_1runtime_1_1DataType_html_af630b65babe38dc86eaee56f29c5429e"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html#af630b65babe38dc86eaee56f29c5429e">tvm::runtime::DataType::is_void</a></div><div class="ttdeci">bool is_void() const</div><div class="ttdef"><b>Definition:</b> data_type.h:109</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html">tvm::script::printer::CallDocNode</a></div><div class="ttdoc">Doc that represents function call. </div><div class="ttdef"><b>Definition:</b> doc.h:423</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1OperationDocNode_html_ab096bbea749ee994d75230cd8136afc2"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#ab096bbea749ee994d75230cd8136afc2">tvm::script::printer::OperationDocNode::Kind</a></div><div class="ttdeci">Kind</div><div class="ttdef"><b>Definition:</b> doc.h:480</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssertDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssertDoc.html">tvm::script::printer::AssertDoc</a></div><div class="ttdoc">Reference type of AssertDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1045</div></div>
<div class="ttc" id="object_8h_html_a3aea9b3f65aeb9150c0fa7800e5573c6"><div class="ttname"><a href="object_8h.html#a3aea9b3f65aeb9150c0fa7800e5573c6">TVM_DECLARE_FINAL_OBJECT_INFO</a></div><div class="ttdeci">#define TVM_DECLARE_FINAL_OBJECT_INFO(TypeName, ParentType)</div><div class="ttdoc">helper macro to declare type information in a final class. </div><div class="ttdef"><b>Definition:</b> object.h:671</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html_a6d33e5d566bc775f7cb43acc731a60e1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html#a6d33e5d566bc775f7cb43acc731a60e1">tvm::script::printer::IdDocNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The name of the identifier. </div><div class="ttdef"><b>Definition:</b> doc.h:293</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html_a6d33e5d566bc775f7cb43acc731a60e1"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html#a6d33e5d566bc775f7cb43acc731a60e1">tvm::script::printer::IdDocNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The name of the identifier. </div><div class="ttdef"><b>Definition:</b> doc.h:309</div></div>
<div class="ttc" id="data__type_8h_html"><div class="ttname"><a href="data__type_8h.html">data_type.h</a></div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html">tvm::script::printer::IdDocNode</a></div><div class="ttdoc">Doc that represents identifier. </div><div class="ttdef"><b>Definition:</b> doc.h:290</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html_aadde19053de1e9adc6423537d27e4c00"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html#aadde19053de1e9adc6423537d27e4c00">tvm::script::printer::TupleDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:584</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IdDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IdDocNode.html">tvm::script::printer::IdDocNode</a></div><div class="ttdoc">Doc that represents identifier. </div><div class="ttdef"><b>Definition:</b> doc.h:306</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html_aadde19053de1e9adc6423537d27e4c00"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html#aadde19053de1e9adc6423537d27e4c00">tvm::script::printer::TupleDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:600</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1DataType_html_a43941f847c40049ef292dc2873483e0d"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html#a43941f847c40049ef292dc2873483e0d">tvm::runtime::DataType::Bool</a></div><div class="ttdeci">static DataType Bool(int lanes=1)</div><div class="ttdoc">Construct a bool type. </div><div class="ttdef"><b>Definition:</b> data_type.h:191</div></div>
-<div class="ttc" id="classtvm_1_1ObjectPath_html"><div class="ttname"><a href="classtvm_1_1ObjectPath.html">tvm::ObjectPath</a></div><div class="ttdef"><b>Definition:</b> object_path.h:122</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDoc_html_a312edc2fe47a5d3839393ff21f9300b4"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDoc.html#a312edc2fe47a5d3839393ff21f9300b4">tvm::script::printer::ListDoc::ListDoc</a></div><div class="ttdeci">ListDoc()</div><div class="ttdoc">Create an empty ListDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:641</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_ad2304f112248c0076f6cc12f3ebe69da"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad2304f112248c0076f6cc12f3ebe69da">tvm::script::printer::LiteralDoc::Boolean</a></div><div class="ttdeci">static LiteralDoc Boolean(bool v)</div><div class="ttdoc">Create a LiteralDoc to represent boolean. </div><div class="ttdef"><b>Definition:</b> doc.h:263</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_a157fb6ccc8acfcdd964482a502521ebd"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a157fb6ccc8acfcdd964482a502521ebd">tvm::script::printer::LiteralDoc::DataType</a></div><div class="ttdeci">static LiteralDoc DataType(const DLDataType &v)</div><div class="ttdoc">Create a LiteralDoc to represent string. </div><div class="ttdef"><b>Definition:</b> doc.h:278</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html_a17862bcb50fd1ef49cd9a47f065e612c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html#a17862bcb50fd1ef49cd9a47f065e612c">tvm::script::printer::StmtBlockDocNode::stmts</a></div><div class="ttdeci">Array< StmtDoc > stmts</div><div class="ttdoc">The list of statements. </div><div class="ttdef"><b>Definition:</b> doc.h:187</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDoc_html_a312edc2fe47a5d3839393ff21f9300b4"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDoc.html#a312edc2fe47a5d3839393ff21f9300b4">tvm::script::printer::ListDoc::ListDoc</a></div><div class="ttdeci">ListDoc()</div><div class="ttdoc">Create an empty ListDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:657</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode_html_a17862bcb50fd1ef49cd9a47f065e612c"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDocNode.html#a17862bcb50fd1ef49cd9a47f065e612c">tvm::script::printer::StmtBlockDocNode::stmts</a></div><div class="ttdeci">Array< StmtDoc > stmts</div><div class="ttdoc">The list of statements. </div><div class="ttdef"><b>Definition:</b> doc.h:189</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1Optional_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Optional.html">tvm::runtime::Optional</a></div><div class="ttdoc">Optional container that to represent to a Nullable variant of T. </div><div class="ttdef"><b>Definition:</b> optional.h:51</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html">tvm::script::printer::ClassDocNode</a></div><div class="ttdoc">Doc that represents class definition. </div><div class="ttdef"><b>Definition:</b> doc.h:1136</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ReturnDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ReturnDoc.html">tvm::script::printer::ReturnDoc</a></div><div class="ttdoc">Reference type of ReturnDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1064</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html">tvm::script::printer::IndexDocNode</a></div><div class="ttdoc">Doc that represents index access on another expression. </div><div class="ttdef"><b>Definition:</b> doc.h:363</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_a74d56d2c98118826ae483f01fc80cad8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#a74d56d2c98118826ae483f01fc80cad8">tvm::script::printer::DictDocNode::keys</a></div><div class="ttdeci">Array< ExprDoc > keys</div><div class="ttdoc">keys of dictionary </div><div class="ttdef"><b>Definition:</b> doc.h:658</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></div><div class="ttdoc">Reference type of ExprDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:125</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_a08d71431d889cd4588d57c06c12140c4"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#a08d71431d889cd4588d57c06c12140c4">tvm::script::printer::DictDocNode::values</a></div><div class="ttdeci">Array< ExprDoc > values</div><div class="ttdoc">Values of dictionary. </div><div class="ttdef"><b>Definition:</b> doc.h:665</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDoc.html">tvm::script::printer::StmtBlockDoc</a></div><div class="ttdoc">Reference type of StmtBlockDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:202</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_aea849aacf9a86be23f9d3e51d7ed77b0"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aea849aacf9a86be23f9d3e51d7ed77b0">tvm::script::printer::LiteralDoc::Int</a></div><div class="ttdeci">static LiteralDoc Int(int64_t v)</div><div class="ttdoc">Create a LiteralDoc to represent integer. </div><div class="ttdef"><b>Definition:</b> doc.h:258</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a9b27f10e02e7a3ed7b7e549cd013f01d"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a9b27f10e02e7a3ed7b7e549cd013f01d">tvm::script::printer::IfDocNode::then_branch</a></div><div class="ttdeci">Array< StmtDoc > then_branch</div><div class="ttdoc">The then branch of the if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:797</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html_aeb8d5417da24488043d11d330e599f8f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html#aeb8d5417da24488043d11d330e599f8f">tvm::script::printer::ForDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the for statement. </div><div class="ttdef"><b>Definition:</b> doc.h:883</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html">tvm::script::printer::WhileDocNode</a></div><div class="ttdoc">Doc that represents while statement. </div><div class="ttdef"><b>Definition:</b> doc.h:834</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a5a959af4b85068d5fb066f367e914e55"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a5a959af4b85068d5fb066f367e914e55">tvm::script::printer::CallDocNode::kwargs_keys</a></div><div class="ttdeci">Array< String > kwargs_keys</div><div class="ttdoc">The keys of keyword arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:414</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html">tvm::script::printer::ClassDocNode</a></div><div class="ttdoc">Doc that represents class definition. </div><div class="ttdef"><b>Definition:</b> doc.h:1152</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ReturnDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ReturnDoc.html">tvm::script::printer::ReturnDoc</a></div><div class="ttdoc">Reference type of ReturnDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1080</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html">tvm::script::printer::IndexDocNode</a></div><div class="ttdoc">Doc that represents index access on another expression. </div><div class="ttdef"><b>Definition:</b> doc.h:379</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_a74d56d2c98118826ae483f01fc80cad8"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#a74d56d2c98118826ae483f01fc80cad8">tvm::script::printer::DictDocNode::keys</a></div><div class="ttdeci">Array< ExprDoc > keys</div><div class="ttdoc">keys of dictionary </div><div class="ttdef"><b>Definition:</b> doc.h:674</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ExprDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ExprDoc.html">tvm::script::printer::ExprDoc</a></div><div class="ttdoc">Reference type of ExprDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:127</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1DictDocNode_html_a08d71431d889cd4588d57c06c12140c4"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1DictDocNode.html#a08d71431d889cd4588d57c06c12140c4">tvm::script::printer::DictDocNode::values</a></div><div class="ttdeci">Array< ExprDoc > values</div><div class="ttdoc">Values of dictionary. </div><div class="ttdef"><b>Definition:</b> doc.h:681</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1StmtBlockDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1StmtBlockDoc.html">tvm::script::printer::StmtBlockDoc</a></div><div class="ttdoc">Reference type of StmtBlockDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:204</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IfDocNode_html_a9b27f10e02e7a3ed7b7e549cd013f01d"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IfDocNode.html#a9b27f10e02e7a3ed7b7e549cd013f01d">tvm::script::printer::IfDocNode::then_branch</a></div><div class="ttdeci">Array< StmtDoc > then_branch</div><div class="ttdoc">The then branch of the if-then-else statement. </div><div class="ttdef"><b>Definition:</b> doc.h:813</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html_aeb8d5417da24488043d11d330e599f8f"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html#aeb8d5417da24488043d11d330e599f8f">tvm::script::printer::ForDocNode::body</a></div><div class="ttdeci">Array< StmtDoc > body</div><div class="ttdoc">The body of the for statement. </div><div class="ttdef"><b>Definition:</b> doc.h:899</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1WhileDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1WhileDocNode.html">tvm::script::printer::WhileDocNode</a></div><div class="ttdoc">Doc that represents while statement. </div><div class="ttdef"><b>Definition:</b> doc.h:850</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1CallDocNode_html_a5a959af4b85068d5fb066f367e914e55"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1CallDocNode.html#a5a959af4b85068d5fb066f367e914e55">tvm::script::printer::CallDocNode::kwargs_keys</a></div><div class="ttdeci">Array< String > kwargs_keys</div><div class="ttdoc">The keys of keyword arguments. </div><div class="ttdef"><b>Definition:</b> doc.h:430</div></div>
<div class="ttc" id="namespacetvm_html_aae7034e3e41c18e7fb78ff32bfc6a318"><div class="ttname"><a href="namespacetvm.html#aae7034e3e41c18e7fb78ff32bfc6a318">tvm::NullOpt</a></div><div class="ttdeci">constexpr runtime::NullOptType NullOpt</div><div class="ttdef"><b>Definition:</b> optional.h:160</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ReturnDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ReturnDocNode.html">tvm::script::printer::ReturnDocNode</a></div><div class="ttdoc">Doc that represents return statement. </div><div class="ttdef"><b>Definition:</b> doc.h:1045</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDoc.html">tvm::script::printer::FunctionDoc</a></div><div class="ttdoc">Reference type of FunctionDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1116</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_a253cf698eba7d39b7345553e646bc8b9"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#a253cf698eba7d39b7345553e646bc8b9">tvm::script::printer::ClassDocNode::decorators</a></div><div class="ttdeci">Array< ExprDoc > decorators</div><div class="ttdoc">Decorators of class. </div><div class="ttdef"><b>Definition:</b> doc.h:1141</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDoc_html_ac3ec09b672b619376fa70cead671de78"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDoc.html#ac3ec09b672b619376fa70cead671de78">tvm::script::printer::TupleDoc::TupleDoc</a></div><div class="ttdeci">TupleDoc()</div><div class="ttdoc">Create an empty TupleDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:603</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_a12eb8131926502501e1088fb0d398850"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#a12eb8131926502501e1088fb0d398850">tvm::script::printer::AssignDocNode::annotation</a></div><div class="ttdeci">Optional< ExprDoc > annotation</div><div class="ttdoc">The type annotation of this assignment. </div><div class="ttdef"><b>Definition:</b> doc.h:757</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html_a9aed13f06616cbd8ea54f362de81cb0e"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html#a9aed13f06616cbd8ea54f362de81cb0e">tvm::script::printer::IndexDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:376</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ReturnDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ReturnDocNode.html">tvm::script::printer::ReturnDocNode</a></div><div class="ttdoc">Doc that represents return statement. </div><div class="ttdef"><b>Definition:</b> doc.h:1061</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1FunctionDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1FunctionDoc.html">tvm::script::printer::FunctionDoc</a></div><div class="ttdoc">Reference type of FunctionDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:1132</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ClassDocNode_html_a253cf698eba7d39b7345553e646bc8b9"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ClassDocNode.html#a253cf698eba7d39b7345553e646bc8b9">tvm::script::printer::ClassDocNode::decorators</a></div><div class="ttdeci">Array< ExprDoc > decorators</div><div class="ttdoc">Decorators of class. </div><div class="ttdef"><b>Definition:</b> doc.h:1157</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDoc_html_ac3ec09b672b619376fa70cead671de78"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDoc.html#ac3ec09b672b619376fa70cead671de78">tvm::script::printer::TupleDoc::TupleDoc</a></div><div class="ttdeci">TupleDoc()</div><div class="ttdoc">Create an empty TupleDoc. </div><div class="ttdef"><b>Definition:</b> doc.h:619</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDocNode_html_a12eb8131926502501e1088fb0d398850"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDocNode.html#a12eb8131926502501e1088fb0d398850">tvm::script::printer::AssignDocNode::annotation</a></div><div class="ttdeci">Optional< ExprDoc > annotation</div><div class="ttdoc">The type annotation of this assignment. </div><div class="ttdef"><b>Definition:</b> doc.h:773</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1IndexDocNode_html_a9aed13f06616cbd8ea54f362de81cb0e"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1IndexDocNode.html#a9aed13f06616cbd8ea54f362de81cb0e">tvm::script::printer::IndexDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:392</div></div>
<div class="ttc" id="object_8h_html_a782d0de62fbf75736e29c1e79c22c7f1"><div class="ttname"><a href="object_8h.html#a782d0de62fbf75736e29c1e79c22c7f1">TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a></div><div class="ttdeci">#define TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS(TypeName, ParentType, ObjectName)</div><div class="ttdef"><b>Definition:</b> object.h:728</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html">tvm::script::printer::SliceDocNode</a></div><div class="ttdoc">Doc that represents slice in Index expression. </div><div class="ttdef"><b>Definition:</b> doc.h:704</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDoc.html">tvm::script::printer::AssignDoc</a></div><div class="ttdoc">Reference type of AssignDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:775</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDoc.html">tvm::script::printer::LambdaDoc</a></div><div class="ttdoc">Reference type of LambdaDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:563</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html">tvm::script::printer::ListDocNode</a></div><div class="ttdoc">Doc that represents list literal. </div><div class="ttdef"><b>Definition:</b> doc.h:617</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html_a7f6e685691fcd1d827cbe6d7521e6674"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html#a7f6e685691fcd1d827cbe6d7521e6674">tvm::script::printer::ForDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:885</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html">tvm::script::printer::AttrAccessDocNode</a></div><div class="ttdoc">Doc that represents attribute access on another expression. </div><div class="ttdef"><b>Definition:</b> doc.h:325</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html">tvm::script::printer::TupleDocNode</a></div><div class="ttdoc">Doc that represents tuple literal. </div><div class="ttdef"><b>Definition:</b> doc.h:579</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html">tvm::script::printer::SliceDocNode</a></div><div class="ttdoc">Doc that represents slice in Index expression. </div><div class="ttdef"><b>Definition:</b> doc.h:720</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AssignDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AssignDoc.html">tvm::script::printer::AssignDoc</a></div><div class="ttdoc">Reference type of AssignDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:791</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LambdaDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LambdaDoc.html">tvm::script::printer::LambdaDoc</a></div><div class="ttdoc">Reference type of LambdaDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:579</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ListDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ListDocNode.html">tvm::script::printer::ListDocNode</a></div><div class="ttdoc">Doc that represents list literal. </div><div class="ttdef"><b>Definition:</b> doc.h:633</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1ForDocNode_html_a7f6e685691fcd1d827cbe6d7521e6674"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1ForDocNode.html#a7f6e685691fcd1d827cbe6d7521e6674">tvm::script::printer::ForDocNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> doc.h:901</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1AttrAccessDocNode.html">tvm::script::printer::AttrAccessDocNode</a></div><div class="ttdoc">Doc that represents attribute access on another expression. </div><div class="ttdef"><b>Definition:</b> doc.h:341</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDocNode_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDocNode.html">tvm::script::printer::TupleDocNode</a></div><div class="ttdoc">Doc that represents tuple literal. </div><div class="ttdef"><b>Definition:</b> doc.h:595</div></div>
<div class="ttc" id="classtvm_1_1runtime_1_1DataType_html_ab45f13dd70d982d9f977c79b6f7fac98"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html#ab45f13dd70d982d9f977c79b6f7fac98">tvm::runtime::DataType::Int</a></div><div class="ttdeci">static DataType Int(int bits, int lanes=1)</div><div class="ttdoc">Construct an int type. </div><div class="ttdef"><b>Definition:</b> data_type.h:164</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDoc.html">tvm::script::printer::TupleDoc</a></div><div class="ttdoc">Reference type of TupleDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:598</div></div>
-<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_aaeb98937e7617cb76fb9662616b89e81"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#aaeb98937e7617cb76fb9662616b89e81">tvm::script::printer::SliceDocNode::stop</a></div><div class="ttdeci">Optional< ExprDoc > stop</div><div class="ttdoc">The exclusive end of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:709</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1LiteralDoc_html_aec73b3eb7dc65adb78911fb334f1ae85"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aec73b3eb7dc65adb78911fb334f1ae85">tvm::script::printer::LiteralDoc::None</a></div><div class="ttdeci">static LiteralDoc None(const Optional< ObjectPath > &p)</div><div class="ttdoc">Create a LiteralDoc to represent None/null/empty value. </div><div class="ttdef"><b>Definition:</b> doc.h:255</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1TupleDoc_html"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1TupleDoc.html">tvm::script::printer::TupleDoc</a></div><div class="ttdoc">Reference type of TupleDocNode. </div><div class="ttdef"><b>Definition:</b> doc.h:614</div></div>
+<div class="ttc" id="classtvm_1_1script_1_1printer_1_1SliceDocNode_html_aaeb98937e7617cb76fb9662616b89e81"><div class="ttname"><a href="classtvm_1_1script_1_1printer_1_1SliceDocNode.html#aaeb98937e7617cb76fb9662616b89e81">tvm::script::printer::SliceDocNode::stop</a></div><div class="ttdeci">Optional< ExprDoc > stop</div><div class="ttdoc">The exclusive end of slice. </div><div class="ttdef"><b>Definition:</b> doc.h:725</div></div>
</div><!-- fragment --></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
diff --git a/docs/reference/api/doxygen/functions_b.html b/docs/reference/api/doxygen/functions_b.html
index ec0eb10cf5..16417b5015 100644
--- a/docs/reference/api/doxygen/functions_b.html
+++ b/docs/reference/api/doxygen/functions_b.html
@@ -218,7 +218,7 @@ $(function() {
, <a class="el" href="classtvm_1_1runtime_1_1DataType.html#a43941f847c40049ef292dc2873483e0d">tvm::runtime::DataType</a>
</li>
<li>Boolean()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad2304f112248c0076f6cc12f3ebe69da">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">tvm::script::printer::LiteralDoc</a>
</li>
<li>BoundMapType
: <a class="el" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html#a14736850005ba70395b09c2fb9113770">tvm::arith::ConstIntBoundAnalyzer</a>
diff --git a/docs/reference/api/doxygen/functions_d.html b/docs/reference/api/doxygen/functions_d.html
index 6e5369a734..6a472d5fba 100644
--- a/docs/reference/api/doxygen/functions_d.html
+++ b/docs/reference/api/doxygen/functions_d.html
@@ -121,7 +121,7 @@ $(function() {
<li>DataType()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#a6db427a47b8d503b10cd2aee6a39d3a9">tvm::runtime::DataType</a>
, <a class="el" href="classtvm_1_1runtime_1_1NDArray.html#a87d9cadd0c232324c101f7ed231aa193">tvm::runtime::NDArray</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a157fb6ccc8acfcdd964482a502521ebd">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#adf4d8759e01746a0da3b03146b7baf00">tvm::script::printer::LiteralDoc</a>
</li>
<li>datatype_fields
: <a class="el" href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a25adb383014a74a9c4ac805beefe86b6">tvm::runtime::vm::Instruction</a>
diff --git a/docs/reference/api/doxygen/functions_f.html b/docs/reference/api/doxygen/functions_f.html
index 8504efa6eb..e45016280b 100644
--- a/docs/reference/api/doxygen/functions_f.html
+++ b/docs/reference/api/doxygen/functions_f.html
@@ -389,7 +389,7 @@ $(function() {
</li>
<li>Float()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#a237a714a6a16e14aa01fa4ac52426551">tvm::runtime::DataType</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aad7a2c38982b0a9d5f874eaf3e4676ba">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a1a90c18a43f22d5c2eefe5be0c48b91b">tvm::script::printer::LiteralDoc</a>
</li>
<li>float_dtype
: <a class="el" href="structtvm_1_1script_1_1printer_1_1Default.html#ad0c9fb7133aed43e8631f992bfbba638">tvm::script::printer::Default</a>
diff --git a/docs/reference/api/doxygen/functions_func_b.html b/docs/reference/api/doxygen/functions_func_b.html
index 92f9c4d8ee..f346a3f2cc 100644
--- a/docs/reference/api/doxygen/functions_func_b.html
+++ b/docs/reference/api/doxygen/functions_func_b.html
@@ -128,7 +128,7 @@ $(function() {
, <a class="el" href="classtvm_1_1runtime_1_1DataType.html#a43941f847c40049ef292dc2873483e0d">tvm::runtime::DataType</a>
</li>
<li>Boolean()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad2304f112248c0076f6cc12f3ebe69da">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ab0a0ccbeb39cc510cb3bf37acdc2e0bc">tvm::script::printer::LiteralDoc</a>
</li>
<li>Broadcast()
: <a class="el" href="classtvm_1_1tir_1_1Broadcast.html#a8d75100fc3b889b0719b23bbd8e1aa23">tvm::tir::Broadcast</a>
diff --git a/docs/reference/api/doxygen/functions_func_d.html b/docs/reference/api/doxygen/functions_func_d.html
index d188e0a442..e7c0fc1c11 100644
--- a/docs/reference/api/doxygen/functions_func_d.html
+++ b/docs/reference/api/doxygen/functions_func_d.html
@@ -74,7 +74,7 @@ $(function() {
<li>DataType()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#aa27f63a2395ce1ac52e4d7740a31383b">tvm::runtime::DataType</a>
, <a class="el" href="classtvm_1_1runtime_1_1NDArray.html#a87d9cadd0c232324c101f7ed231aa193">tvm::runtime::NDArray</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a157fb6ccc8acfcdd964482a502521ebd">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#adf4d8759e01746a0da3b03146b7baf00">tvm::script::printer::LiteralDoc</a>
</li>
<li>DataTypePattern()
: <a class="el" href="classtvm_1_1relay_1_1DataTypePattern.html#a1af68239730a8b75bfb35cfce320b653">tvm::relay::DataTypePattern</a>
diff --git a/docs/reference/api/doxygen/functions_func_f.html b/docs/reference/api/doxygen/functions_func_f.html
index 6f19d45cae..2ade7957d0 100644
--- a/docs/reference/api/doxygen/functions_func_f.html
+++ b/docs/reference/api/doxygen/functions_func_f.html
@@ -114,7 +114,7 @@ $(function() {
</li>
<li>Float()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#a237a714a6a16e14aa01fa4ac52426551">tvm::runtime::DataType</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aad7a2c38982b0a9d5f874eaf3e4676ba">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a1a90c18a43f22d5c2eefe5be0c48b91b">tvm::script::printer::LiteralDoc</a>
</li>
<li>FloatDType()
: <a class="el" href="structtvm_1_1script_1_1printer_1_1Default.html#a3cebbdcac3472e9f97790e558abc5309">tvm::script::printer::Default</a>
diff --git a/docs/reference/api/doxygen/functions_func_i.html b/docs/reference/api/doxygen/functions_func_i.html
index c780fe2077..f3599cc972 100644
--- a/docs/reference/api/doxygen/functions_func_i.html
+++ b/docs/reference/api/doxygen/functions_func_i.html
@@ -204,7 +204,7 @@ $(function() {
</li>
<li>Int()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#ab45f13dd70d982d9f977c79b6f7fac98">tvm::runtime::DataType</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aea849aacf9a86be23f9d3e51d7ed77b0">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3b88804f3208f2a7abc8641ee978776e">tvm::script::printer::LiteralDoc</a>
</li>
<li>IntConstraints()
: <a class="el" href="classtvm_1_1arith_1_1IntConstraints.html#a951a0b7df214bbf90f03b88ae9b9eb48">tvm::arith::IntConstraints</a>
diff --git a/docs/reference/api/doxygen/functions_func_l.html b/docs/reference/api/doxygen/functions_func_l.html
index 8f7b734cfa..93996005c6 100644
--- a/docs/reference/api/doxygen/functions_func_l.html
+++ b/docs/reference/api/doxygen/functions_func_l.html
@@ -151,7 +151,7 @@ $(function() {
: <a class="el" href="classtvm_1_1TargetKindRegEntry.html#a94f787f1d83ecf0e01d62340772482aa">tvm::TargetKindRegEntry</a>
</li>
<li>LiteralDoc()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a6d030ebf49c3993e09da67aa6ebfb8ba">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a964b5256fc9ed898b54bfa9b8f4c8de1">tvm::script::printer::LiteralDoc</a>
</li>
<li>Load()
: <a class="el" href="classtvm_1_1meta__schedule_1_1CostModelNode.html#af41795941e68bb03438d2fbf60c313e3">tvm::meta_schedule::CostModelNode</a>
@@ -191,7 +191,7 @@ $(function() {
: <a class="el" href="classtvm_1_1auto__scheduler_1_1LocalRunner.html#aa2b7cb576f9a7d5e900bc3159a07a7e9">tvm::auto_scheduler::LocalRunner</a>
</li>
<li>Lookup()
-: <a class="el" href="classtvm_1_1IRModuleNode.html#a8430de337205d25778704d558f892ecb">tvm::IRModuleNode</a>
+: <a class="el" href="classtvm_1_1IRModuleNode.html#a8fb3c0a0e2c0a679753e6f8f45f54860">tvm::IRModuleNode</a>
</li>
<li>LookupHashedValue()
: <a class="el" href="classtvm_1_1SHashHandlerDefault.html#a8d6338386dbf200ee7f73bee47c046b4">tvm::SHashHandlerDefault</a>
@@ -201,7 +201,7 @@ $(function() {
: <a class="el" href="classtvm_1_1IRModuleNode.html#ae078ad8def39579701d144578c787bcf">tvm::IRModuleNode</a>
</li>
<li>LookupTypeDef()
-: <a class="el" href="classtvm_1_1IRModuleNode.html#a23f3769fe60b3b06c9d163650ea7caaf">tvm::IRModuleNode</a>
+: <a class="el" href="classtvm_1_1IRModuleNode.html#ae095c1fd87642bd417224668c5b4d910">tvm::IRModuleNode</a>
</li>
<li>LoopRV()
: <a class="el" href="classtvm_1_1tir_1_1LoopRV.html#ad47c4e83701875b84c9efd36ee3dc323">tvm::tir::LoopRV</a>
diff --git a/docs/reference/api/doxygen/functions_func_n.html b/docs/reference/api/doxygen/functions_func_n.html
index c4c472cac9..6cd88a06bb 100644
--- a/docs/reference/api/doxygen/functions_func_n.html
+++ b/docs/reference/api/doxygen/functions_func_n.html
@@ -120,7 +120,7 @@ $(function() {
: <a class="el" href="classtvm_1_1relay_1_1FeatureSet.html#a68c408c752ef58b2c27802491165adbb">tvm::relay::FeatureSet</a>
</li>
<li>None()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad7b614de314ca220044ccfd78e4a9640">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aec73b3eb7dc65adb78911fb334f1ae85">tvm::script::printer::LiteralDoc</a>
</li>
<li>NonSurjectiveInverse()
: <a class="el" href="classtvm_1_1tir_1_1IndexMap.html#a85bd2f88a27665c60e3a9f3ca2aeb1e0">tvm::tir::IndexMap</a>
diff --git a/docs/reference/api/doxygen/functions_func_s.html b/docs/reference/api/doxygen/functions_func_s.html
index 7150d8200a..c47c0b43d7 100644
--- a/docs/reference/api/doxygen/functions_func_s.html
+++ b/docs/reference/api/doxygen/functions_func_s.html
@@ -763,7 +763,7 @@ $(function() {
: <a class="el" href="classtvm_1_1tir_1_1Store.html#a2c4278b8bcdae57ada2022ecc7c290c3">tvm::tir::Store</a>
</li>
<li>Str()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a789d7d73bd4d94612fa2a84c16b26b89">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">tvm::script::printer::LiteralDoc</a>
</li>
<li>str()
: <a class="el" href="classtvm_1_1TargetNode.html#a30cd67db46a9c4b098a8ba38fff22e26">tvm::TargetNode</a>
diff --git a/docs/reference/api/doxygen/functions_i.html b/docs/reference/api/doxygen/functions_i.html
index 70558915ed..c301a49f8d 100644
--- a/docs/reference/api/doxygen/functions_i.html
+++ b/docs/reference/api/doxygen/functions_i.html
@@ -329,7 +329,7 @@ $(function() {
</li>
<li>Int()
: <a class="el" href="classtvm_1_1runtime_1_1DataType.html#ab45f13dd70d982d9f977c79b6f7fac98">tvm::runtime::DataType</a>
-, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aea849aacf9a86be23f9d3e51d7ed77b0">tvm::script::printer::LiteralDoc</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3b88804f3208f2a7abc8641ee978776e">tvm::script::printer::LiteralDoc</a>
</li>
<li>int_dtype
: <a class="el" href="structtvm_1_1script_1_1printer_1_1Default.html#a31d65d3078054e6c0ce9d87a967a5cf1">tvm::script::printer::Default</a>
diff --git a/docs/reference/api/doxygen/functions_l.html b/docs/reference/api/doxygen/functions_l.html
index cb5d79f984..575b7f95da 100644
--- a/docs/reference/api/doxygen/functions_l.html
+++ b/docs/reference/api/doxygen/functions_l.html
@@ -235,7 +235,7 @@ $(function() {
: <a class="el" href="classtvm_1_1TargetKindRegEntry.html#a94f787f1d83ecf0e01d62340772482aa">tvm::TargetKindRegEntry</a>
</li>
<li>LiteralDoc()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a3d925b6bd457b43db5c9990a5faf9ad6">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a964b5256fc9ed898b54bfa9b8f4c8de1">tvm::script::printer::LiteralDoc</a>
</li>
<li>Load()
: <a class="el" href="classtvm_1_1meta__schedule_1_1CostModelNode.html#af41795941e68bb03438d2fbf60c313e3">tvm::meta_schedule::CostModelNode</a>
@@ -292,7 +292,7 @@ $(function() {
: <a class="el" href="classtvm_1_1IRModuleNode.html#ae078ad8def39579701d144578c787bcf">tvm::IRModuleNode</a>
</li>
<li>LookupTypeDef()
-: <a class="el" href="classtvm_1_1IRModuleNode.html#a23f3769fe60b3b06c9d163650ea7caaf">tvm::IRModuleNode</a>
+: <a class="el" href="classtvm_1_1IRModuleNode.html#ae095c1fd87642bd417224668c5b4d910">tvm::IRModuleNode</a>
</li>
<li>loop_var
: <a class="el" href="classtvm_1_1tir_1_1ForNode.html#a7dbf66bdcf8ed397321517f0915a0946">tvm::tir::ForNode</a>
diff --git a/docs/reference/api/doxygen/functions_n.html b/docs/reference/api/doxygen/functions_n.html
index da8eaf55e4..8d04ae1c86 100644
--- a/docs/reference/api/doxygen/functions_n.html
+++ b/docs/reference/api/doxygen/functions_n.html
@@ -205,7 +205,7 @@ $(function() {
, <a class="el" href="classtvm_1_1tir_1_1AttrStmtNode.html#a7dbc9628c9f3f35deaccf0526be4f699">tvm::tir::AttrStmtNode</a>
</li>
<li>None()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#ad7b614de314ca220044ccfd78e4a9640">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#aec73b3eb7dc65adb78911fb334f1ae85">tvm::script::printer::LiteralDoc</a>
</li>
<li>NonSurjectiveInverse()
: <a class="el" href="classtvm_1_1tir_1_1IndexMap.html#a85bd2f88a27665c60e3a9f3ca2aeb1e0">tvm::tir::IndexMap</a>
diff --git a/docs/reference/api/doxygen/functions_s.html b/docs/reference/api/doxygen/functions_s.html
index 15c2a5f5eb..fbdf9d00de 100644
--- a/docs/reference/api/doxygen/functions_s.html
+++ b/docs/reference/api/doxygen/functions_s.html
@@ -1095,7 +1095,7 @@ $(function() {
: <a class="el" href="classtvm_1_1te_1_1StageNode.html#a8f4ba7f2931b3541c12734af511600a7">tvm::te::StageNode</a>
</li>
<li>Str()
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a789d7d73bd4d94612fa2a84c16b26b89">tvm::script::printer::LiteralDoc</a>
+: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">tvm::script::printer::LiteralDoc</a>
</li>
<li>str()
: <a class="el" href="classtvm_1_1TargetNode.html#a30cd67db46a9c4b098a8ba38fff22e26">tvm::TargetNode</a>
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