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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/03/20 01:37:14 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@48cedc7d2e62e1db989bb0885fd75475ebe4b680)
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 69a78a5b80 deploying docs (apache/tvm@48cedc7d2e62e1db989bb0885fd75475ebe4b680)
69a78a5b80 is described below
commit 69a78a5b80f4e3c693783fe53884c6ca53c43bda
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Wed Mar 20 01:37:06 2024 +0000
deploying docs (apache/tvm@48cedc7d2e62e1db989bb0885fd75475ebe4b680)
---
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.../interfaces/_internal_.NDArrayCacheEntry.html | 14 +-
.../interfaces/_internal_.NDArrayShardEntry.html | 10 +-
.../api/typedoc/types/InitProgressCallback.html | 2 +-
docs/reference/api/typedoc/types/PackedFunc.html | 2 +-
.../typedoc/types/_internal_.AsyncPackedFunc.html | 2 +-
.../types/_internal_.FObjectConstructor.html | 2 +-
.../types/_internal_.FTVMWasmAllocSpace.html | 2 +-
.../types/_internal_.FTVMWasmFreeSpace.html | 2 +-
.../types/_internal_.FTVMWasmPackedCFunc.html | 2 +-
.../api/typedoc/types/_internal_.Pointer.html | 2 +-
.../typedoc/types/_internal_.TVMObjectBase.html | 2 +-
docs/searchindex.js | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 2 +-
.../vta/tutorials/frontend/sg_execution_times.html | 4 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 4 +-
docs/tutorial/autotvm_matmul_x86.html | 20 +-
docs/tutorial/autotvm_relay_x86.html | 274 ++--
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 22 +-
docs/tutorial/tensor_expr_get_started.html | 44 +-
370 files changed, 13573 insertions(+), 13503 deletions(-)
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 5c21ad98c1..292285e92a 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 32.116 seconds)
+ **Total running time of the script:** ( 1 minutes 34.367 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
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 a10150d532..5d99dc9121 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
- 0%| | 0.00/41.5M [00:00<?, ?B/s] 15%|#5 | 6.33M/41.5M [00:00<00:01, 27.5MB/s] 22%|##1 | 8.96M/41.5M [00:00<00:01, 27.1MB/s] 35%|###4 | 14.3M/41.5M [00:00<00:00, 33.5MB/s] 47%|####7 | 19.6M/41.5M [00:00<00:00, 40.1MB/s] 57%|#####6 | 23.6M/41.5M [00:00<00:00, 32.7MB/s] 65%|######5 | 27.0M/41.5M [00:00<00:00, 31.1MB/s] 77%|#######7 | 32.0M/41.5M [00:01<00:00, 32.9MB/s] 96%|#########6| 40.0M/41.5M [00:01<00:00, 40.1MB/s] 100%|##########| 41.5M/41.5M [00:01<00:00, 36.6MB/s]
+ 0%| | 0.00/41.5M [00:00<?, ?B/s] 15%|#5 | 6.33M/41.5M [00:00<00:01, 34.9MB/s] 23%|##3 | 9.66M/41.5M [00:00<00:01, 28.6MB/s] 35%|###4 | 14.3M/41.5M [00:00<00:00, 29.1MB/s] 41%|####1 | 17.1M/41.5M [00:00<00:00, 26.1MB/s] 58%|#####7 | 24.0M/41.5M [00:00<00:00, 30.2MB/s] 77%|#######7 | 32.0M/41.5M [00:01<00:00, 36.2MB/s] 92%|#########2| 38.3M/41.5M [00:01<00:00, 34.0MB/s] 100%|##########| 41.5M/41.5M [00:01<00:00, 32.6MB/s]
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 8df75c9e33..6ca762505a 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,6 +207,11 @@ Look up prediction top 1 index in 1000 class synset.
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 0.474 seconds)
+
+
.. _sphx_glr_download_how_to_compile_models_from_paddle.py:
.. only:: html
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 2ceb9dd3c5..5438a0020e 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-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. 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
- 0%| | 0.00/44.7M [00:00<?, ?B/s] 14%|#4 | 6.30M/44.7M [00:00<00:00, 50.6MB/s] 25%|##4 | 11.1M/44.7M [00:00<00:00, 47.8MB/s] 36%|###5 | 16.0M/44.7M [00:00<00:00, 36.9MB/s] 58%|#####8 | 26.1M/44.7M [00:00<00:00, 49.1MB/s] 72%|#######1 | 32.0M/44.7M [00:00<00:00, 48.3MB/s] 86%|########5 | 38.3M/44.7M [00:00<00:00, 48.2MB/s] 96%|#########6| 42.9M/44.7M [00:00<00:00, 44.9MB/s] 100%|##########| 44.7M/44.7M [00:00<00:00, 47.4MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 31%|### | 13.7M/44.7M [00:00<00:00, 144MB/s] 61%|######1 | 27.4M/44.7M [00:00<00:00, 90.5MB/s] 83%|########3 | 37.1M/44.7M [00:00<00:00, 80.2MB/s] 100%|##########| 44.7M/44.7M [00:00<00:00, 89.0MB/s]
diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index 5466a7a4c2..9a9689c352 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -430,7 +430,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 28.395 seconds)
+ **Total running time of the script:** ( 1 minutes 28.715 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 93be0d6fa2..6327ec73a8 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
@@ -5,24 +5,24 @@
Computation times
=================
-**06:26.454** total execution time for **how_to_compile_models** files:
+**06:31.088** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:32.116 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:34.367 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:28.395 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:28.715 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:59.729 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:00.474 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:41.606 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:41.922 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:36.683 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:37.024 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:27.447 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:27.061 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:25.931 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:27.050 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.781 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.681 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.767 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.794 | 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 d4147d1062..8b605d102b 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
@@ -673,7 +673,7 @@ 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)
- 3933.7167 3932.9046 3941.3981 3930.5083 3.0752
+ 3996.6765 3992.7973 4033.2516 3990.0105 12.2869
@@ -681,7 +681,7 @@ well as provides information about the model's performance
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 16.184 seconds)
+ **Total running time of the script:** ( 1 minutes 16.958 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_model_on_adreno.py:
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
index 88e4c12cf1..5b023c3f64 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
@@ -127,7 +127,7 @@ Make a Keras Resnet50 Model
.. code-block:: none
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
- 8192/102967424 [..............................] - ETA: 0s 3776512/102967424 [>.............................] - ETA: 1s 6635520/102967424 [>.............................] - ETA: 1s 8380416/102967424 [=>............................] - ETA: 2s 15024128/102967424 [===>..........................] - ETA: 1s 16769024/102967424 [===>..........................] - ETA: 1s 25157632/102967424 [======>.......................] - ETA: 1s 33546240/102967424 [========>.....................] - ETA: 1s
41934848/102967424 [===========>..................] - ETA: 0s 48578560/102967424 [=============>................] - ETA: 0s 50323456/102967424 [=============>................] - ETA: 0s 58712064/102967424 [================>.............] - ETA: 0s 60907520/102967424 [================>.............] - ETA: 0s 67100672/102967424 [==================>...........] - ETA: 0s 69296128/102967424 [===================>..........] - ETA: 0s 75489280/102967424 [====================>.........] -
ETA: 0s 83877888/102967424 [=======================>......] - ETA: 0s 92266496/102967424 [=========================>....] - ETA: 0s 98910208/102967424 [===========================>..] - ETA: 0s 100646912/102967424 [============================>.] - ETA: 0s 102967424/102967424 [==============================] - 2s 0us/step
+ 8192/102967424 [..............................] - ETA: 0s 6635520/102967424 [>.............................] - ETA: 0s 8380416/102967424 [=>............................] - ETA: 1s 13828096/102967424 [===>..........................] - ETA: 1s 16769024/102967424 [===>..........................] - ETA: 1s 16908288/102967424 [===>..........................] - ETA: 2s 23412736/102967424 [=====>........................] - ETA: 1s 25157632/102967424 [======>.......................] - ETA: 1s
33546240/102967424 [========>.....................] - ETA: 1s 41934848/102967424 [===========>..................] - ETA: 1s 44130304/102967424 [===========>..................] - ETA: 1s 50323456/102967424 [=============>................] - ETA: 1s 58712064/102967424 [================>.............] - ETA: 0s 64339968/102967424 [=================>............] - ETA: 0s 67100672/102967424 [==================>...........] - ETA: 0s 69296128/102967424 [===================>..........] -
ETA: 0s 75489280/102967424 [====================>.........] - ETA: 0s 83877888/102967424 [=======================>......] - ETA: 0s 86073344/102967424 [========================>.....] - ETA: 0s 90521600/102967424 [=========================>....] - ETA: 0s 92266496/102967424 [=========================>....] - ETA: 0s 98910208/102967424 [===========================>..] - ETA: 0s 100646912/102967424 [============================>.] - ETA: 0s 102967424/102967424
[==============================] - 2s 0us/step
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 43e23c7dff..643f3e323c 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)
- 13.5934 13.5913 13.7359 13.4603 0.0841
+ 14.1374 13.8925 15.1151 13.7253 0.4545
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 731a8844ff..71ac23fdeb 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-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. 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
- 0%| | 0.00/170M [00:00<?, ?B/s] 4%|3 | 6.30M/170M [00:00<00:04, 40.2MB/s] 6%|5 | 10.1M/170M [00:00<00:04, 39.0MB/s] 9%|9 | 16.0M/170M [00:00<00:04, 36.7MB/s] 13%|#3 | 22.3M/170M [00:00<00:03, 39.9MB/s] 15%|#5 | 26.1M/170M [00:00<00:04, 33.1MB/s] 18%|#7 | 30.3M/170M [00:00<00:04, 34.4MB/s] 22%|##2 | 37.5M/170M [00:00<00:03, 44.7MB/s] 27%|##7 | 46.3M/170M [00:01<00:02, 48.2MB/s] 30%|### | 51.1M/170M [00:01<00:02, 45.9MB/s] 35%|###4 | 59.3M/170M [00:01<00:02, 55.8MB/s] 38%|###8 | 65.0M/170M [00:01<00:02, 50.9MB/s] 42%|####2 | 72.0M/170M [00:01<00:01, 54.3MB/s] 46%|####6 | 78.3M/170M [00:01<00:01, 56.9MB/s] 49%|####9 | 83.9M/170M [00:01<00:01, 57.4MB/s] 53%|#####2 | 89.5M/170M [00:02<00:01, 48.9MB/s] 57%|#####6 | 96.0M/170M [00:02<00:01, 41.9MB/s] 60%|###### | 102M/170M [00:02<00:01, 47.5MB/s
] 63%|######3 | 107M/170M [00:02<00:01, 44.7MB/s] 66%|######5 | 112M/170M [00:02<00:01, 45.4MB/s] 71%|####### | 120M/170M [00:02<00:01, 45.3MB/s] 74%|#######4 | 126M/170M [00:02<00:00, 49.6MB/s] 78%|#######7 | 132M/170M [00:02<00:00, 51.9MB/s] 81%|######## | 137M/170M [00:03<00:00, 43.4MB/s] 85%|########4 | 144M/170M [00:03<00:00, 46.7MB/s] 89%|########9 | 152M/170M [00:03<00:00, 51.6MB/s] 93%|#########3| 158M/170M [00:03<00:00, 44.9MB/s] 96%|#########5| 163M/170M [00:03<00:00, 35.4MB/s] 98%|#########8| 167M/170M [00:03<00:00, 31.8MB/s] 100%|##########| 170M/170M [00:04<00:00, 43.6MB/s]
+ 0%| | 0.00/170M [00:00<?, ?B/s] 3%|3 | 5.18M/170M [00:00<00:05, 30.6MB/s] 5%|4 | 8.10M/170M [00:00<00:06, 26.5MB/s] 8%|8 | 14.3M/170M [00:00<00:04, 34.6MB/s] 10%|# | 17.6M/170M [00:00<00:05, 27.8MB/s] 13%|#3 | 22.3M/170M [00:00<00:04, 33.1MB/s] 15%|#5 | 25.7M/170M [00:00<00:05, 26.7MB/s] 19%|#8 | 32.0M/170M [00:01<00:04, 31.4MB/s] 24%|##3 | 40.0M/170M [00:01<00:03, 38.3MB/s] 28%|##8 | 48.0M/170M [00:01<00:03, 41.1MB/s] 33%|###2 | 56.0M/170M [00:01<00:02, 45.3MB/s] 37%|###6 | 62.3M/170M [00:01<00:02, 45.5MB/s] 39%|###9 | 66.7M/170M [00:01<00:02, 37.3MB/s] 42%|####2 | 72.1M/170M [00:02<00:02, 39.3MB/s] 47%|####7 | 80.0M/170M [00:02<00:01, 47.2MB/s] 52%|#####1 | 88.0M/170M [00:02<00:01, 45.1MB/s] 56%|#####5 | 94.3M/170M [00:02<00:01, 48.6MB/s] 58%|#####8 | 99.2M/170M [00:02<00:01, 46.1MB/
s] 61%|######1 | 104M/170M [00:02<00:01, 37.2MB/s] 63%|######3 | 108M/170M [00:02<00:01, 33.8MB/s] 66%|######5 | 112M/170M [00:03<00:01, 32.8MB/s] 71%|####### | 120M/170M [00:03<00:01, 36.2MB/s] 74%|#######4 | 126M/170M [00:03<00:01, 33.2MB/s] 76%|#######6 | 130M/170M [00:03<00:01, 29.1MB/s] 80%|#######9 | 135M/170M [00:03<00:01, 34.8MB/s] 82%|########1 | 139M/170M [00:03<00:01, 32.3MB/s] 85%|########4 | 144M/170M [00:04<00:00, 37.2MB/s] 88%|########8 | 150M/170M [00:04<00:00, 38.5MB/s] 91%|######### | 154M/170M [00:04<00:00, 39.7MB/s] 94%|#########4| 160M/170M [00:04<00:00, 34.7MB/s] 98%|#########7| 166M/170M [00:04<00:00, 27.9MB/s] 100%|#########9| 169M/170M [00:04<00:00, 28.3MB/s] 100%|##########| 170M/170M [00:04<00:00, 35.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: 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).
(torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: 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).
@@ -292,7 +292,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 19.945 seconds)
+ **Total running time of the script:** ( 3 minutes 19.040 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 6104a0eb75..0890387aea 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-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. 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
- 0%| | 0.00/13.6M [00:00<?, ?B/s] 59%|#####8 | 7.99M/13.6M [00:00<00:00, 42.8MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 49.5MB/s]
+ 0%| | 0.00/13.6M [00:00<?, ?B/s] 47%|####6 | 6.30M/13.6M [00:00<00:00, 35.3MB/s] 71%|#######1 | 9.67M/13.6M [00:00<00:00, 29.6MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 36.0MB/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)
- 86.1091 86.0789 88.0522 85.8913 0.2292
+ 86.1002 85.9970 88.6533 85.7360 0.4359
@@ -457,7 +457,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 25.701 seconds)
+ **Total running time of the script:** ( 1 minutes 25.703 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 8df14ae8c9..edeb1120b7 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)
- 106.4155 106.6130 108.0154 104.8611 0.6820
+ 106.1243 106.0325 109.0603 105.4018 0.4528
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 bb4182568f..a310127970 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**09:22.905** total execution time for **how_to_deploy_models** files:
+**09:23.841** total execution time for **how_to_deploy_models** files:
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:19.945 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:19.040 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:25.701 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:25.703 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:16.184 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:16.958 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:50.436 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:50.223 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:48.960 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:48.935 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:44.588 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:45.729 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:28.549 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:28.743 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:28.534 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:28.502 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.008 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
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 1a78b2bae5..558fcdae45 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
@@ -5,12 +5,12 @@
Computation times
=================
-**00:04.059** total execution time for **how_to_extend_tvm** files:
+**00:03.810** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.826 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.638 | 0.0 MB |
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.226 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.165 | 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 0718fdcaf4..a6b13c85c1 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: 24538us [24538us] (48.42%; 48.42%)
- FoldScaleAxis: 26136us [7us] (51.58%; 51.58%)
- FoldConstant: 26129us [1822us] (51.56%; 99.97%)
- InferType: 24307us [24307us] (47.97%; 93.03%)
+ InferType: 24995us [24995us] (49.23%; 49.23%)
+ FoldScaleAxis: 25781us [7us] (50.77%; 50.77%)
+ FoldConstant: 25774us [1847us] (50.76%; 99.97%)
+ InferType: 23928us [23928us] (47.12%; 92.84%)
@@ -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: 24285us [24285us] (48.46%; 48.46%)
- FoldScaleAxis: 25831us [7us] (51.54%; 51.54%)
- FoldConstant: 25824us [1792us] (51.53%; 99.97%)
- InferType: 24032us [24032us] (47.95%; 93.06%)
+ InferType: 23786us [23786us] (48.74%; 48.74%)
+ FoldScaleAxis: 25011us [5us] (51.26%; 51.26%)
+ FoldConstant: 25006us [1699us] (51.24%; 99.98%)
+ InferType: 23307us [23307us] (47.76%; 93.21%)
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 29f4f93f44..520c087ee3 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: 41.710334 ms
+ Convolution: 51.506145 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 43d89d6836..0f7eedb9bf 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
@@ -598,7 +598,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 12.272928 ms
+ conv2d with tensor core: 12.269565 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 9270103e15..a4962b6cb2 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: 0.014037
- Baseline: 3.488495
+ Numpy running time: 0.013554
+ Baseline: 3.493804
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.283632
+ Opt1: 0.285353
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.257944
+ Opt2: 0.265450
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.110829
+ Opt3: 0.107423
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.104572
+ Opt4: 0.101637
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.095401
+ Opt5: 0.094267
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.112632
+ Opt6: 0.111930
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 0390743e9b..968e020435 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
=================
-**00:31.870** total execution time for **how_to_optimize_operators** files:
+**00:31.799** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:28.902 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:28.871 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.801 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.779 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.167 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.148 | 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 8d8e15c417..31809c0215 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
=================
-**03:33.235** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:29.273** total execution time for **how_to_tune_with_autoscheduler** files:
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:32.721 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:30.797 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:11.951 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:10.661 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.641 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.192 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.202 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:15.961 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.623 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.562 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.096 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.100 | 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 1f0fb9db63..5f6088c0e4 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
@@ -766,7 +766,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.338 ms
+ Execution time of this operator: 0.344 ms
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 41063157af..0f9f5ed7e0 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
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2116 3.2117 3.2122 3.2109 0.0005
+ 3.2318 3.2313 3.2416 3.2227 0.0077
@@ -660,7 +660,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 11.951 seconds)
+ **Total running time of the script:** ( 1 minutes 10.661 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 7b6a292c08..efcd92b498 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
@@ -655,7 +655,7 @@ 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)
- 700.0491 700.2905 700.8850 698.9718 0.7995
+ 703.8866 704.3750 704.9002 702.3846 1.0835
@@ -682,7 +682,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 32.721 seconds)
+ **Total running time of the script:** ( 1 minutes 30.797 seconds)
.. _sphx_glr_download_how_to_tune_with_autoscheduler_tune_network_x86.py:
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 464f34b912..9560a617af 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
Computation times
=================
-**00:22.724** total execution time for **how_to_tune_with_autotvm** files:
+**00:22.582** 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``) | 00:22.687 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:22.547 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.022 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.021 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index 4b3e313627..aead207482 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
@@ -326,7 +326,7 @@ and measure running time.
Best config:
,None
- Time cost of this operator: 0.037056
+ Time cost of this operator: 0.037225
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 ea7917452b..17faa7ee66 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
@@ -360,10 +360,10 @@ 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 295.3 98.73 (1, 2, 10, 10, 3) 2 1 [295.3]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.869 0.959 (1, 6, 10, 10) 1 1 [2.869]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.931 0.311 (1, 1, 10, 10, 3) 1 1 [0.931]
- Total_time - 299.099 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 298.8 98.77 (1, 2, 10, 10, 3) 2 1 [298.8]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.797 0.924 (1, 6, 10, 10) 1 1 [2.797]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.924 0.305 (1, 1, 10, 10, 3) 1 1 [0.924]
+ Total_time - 302.52 - - - - -
@@ -428,10 +428,10 @@ 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 98.75 97.452 (1, 6, 10, 10, 1) 2 1 [98.75]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.759 1.736 (1, 6, 10, 10) 1 1 [1.759]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.823 0.812 (1, 3, 10, 10, 1) 1 1 [0.823]
- Total_time - 101.332 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 101.4 97.465 (1, 6, 10, 10, 1) 2 1 [101.4]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.705 1.639 (1, 6, 10, 10) 1 1 [1.705]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.932 0.896 (1, 1, 10, 10, 3) 1 1 [0.932]
+ Total_time - 104.037 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 25.993 seconds)
+ **Total running time of the script:** ( 1 minutes 22.295 seconds)
.. _sphx_glr_download_how_to_work_with_microtvm_micro_autotune.py:
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 ff2296d930..239c515d90 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
@@ -118,7 +118,7 @@ download a cat image and preprocess it to use as the model input.
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py:310: UserWarning: must run observer before calling calculate_qparams. Returning default values.
warnings.warn(
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] 61%|###### | 2.09M/3.42M [00:00<00:00, 16.9MB/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 26.6MB/s]
+ 0%| | 0.00/3.42M [00:00<?, ?B/s] 61%|###### | 2.09M/3.42M [00:00<00:00, 19.8MB/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 30.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 26.826 seconds)
+ **Total running time of the script:** ( 1 minutes 24.891 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 53339baa58..2ffae95fe2 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
@@ -217,7 +217,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
.. code-block:: none
- '/tmp/tmpu3zvp8n4/images/random'
+ '/tmp/tmpwovzxd61/images/random'
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmpu3zvp8n4/images/target contains 8144 images
- /tmp/tmpu3zvp8n4/images/random contains 5000 images
+ /tmp/tmpwovzxd61/images/target contains 8144 images
+ /tmp/tmpwovzxd61/images/random contains 5000 images
@@ -493,13 +493,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 38s - loss: 0.2254 - accuracy: 0.9217 - val_loss: 0.1113 - val_accuracy: 0.9634 - 38s/epoch - 117ms/step
+ 328/328 - 39s - loss: 0.2255 - accuracy: 0.9240 - val_loss: 0.1309 - val_accuracy: 0.9532 - 39s/epoch - 118ms/step
Epoch 2/3
- 328/328 - 34s - loss: 0.1009 - accuracy: 0.9638 - val_loss: 0.1102 - val_accuracy: 0.9615 - 34s/epoch - 105ms/step
+ 328/328 - 34s - loss: 0.1015 - accuracy: 0.9626 - val_loss: 0.1657 - val_accuracy: 0.9418 - 34s/epoch - 105ms/step
Epoch 3/3
- 328/328 - 34s - loss: 0.0705 - accuracy: 0.9719 - val_loss: 0.1033 - val_accuracy: 0.9637 - 34s/epoch - 105ms/step
+ 328/328 - 34s - loss: 0.0645 - accuracy: 0.9774 - val_loss: 0.1028 - val_accuracy: 0.9668 - 34s/epoch - 104ms/step
- <keras.callbacks.History object at 0x7fd5416534f0>
+ <keras.callbacks.History object at 0x7f6432ec3670>
@@ -860,7 +860,7 @@ 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 26.466 seconds)
+ **Total running time of the script:** ( 4 minutes 35.850 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 76825cbdb1..9407b98182 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
@@ -5,20 +5,20 @@
Computation times
=================
-**07:48.392** total execution time for **how_to_work_with_microtvm** files:
+**07:51.089** total execution time for **how_to_work_with_microtvm** files:
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:26.466 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:35.850 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:26.826 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:24.891 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:25.993 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:22.295 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.798 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.674 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.786 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.341 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.522 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.038 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.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 9658b9eb72..0bd27f30c6 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
=================
-**00:38.004** total execution time for **how_to_work_with_relay** files:
+**00:37.261** 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``) | 00:32.908 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.375 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.182 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.087 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.907 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.793 | 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 45cdcf1924..85be239c78 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
@@ -281,7 +281,7 @@ The following example customizes CUDA lowering rule for :code:`exp`.
.. code-block:: none
- <function my_cuda_math_rule at 0x7fd72803bb80>
+ <function my_cuda_math_rule at 0x7f662e0e4dc0>
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 0239835aa5..d04f1d9ad5 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
=================
-**00:05.336** total execution time for **how_to_work_with_schedules** files:
+**00:05.533** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.495 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.515 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.146 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.313 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.705 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.716 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.701 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.705 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.121 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.119 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.070 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.069 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.066 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.032 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.031 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
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 0f8b738711..c7e6679309 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:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
- yolov3-tiny inference graph built in 26.41s!
+ yolov3-tiny inference graph built in 25.38s!
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 6e89e608e1..82646dbed5 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
@@ -5,8 +5,8 @@
Computation times
=================
-**00:59.058** total execution time for **topic_vta_tutorials_frontend** files:
+**00:57.786** total execution time for **topic_vta_tutorials_frontend** files:
+--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.058 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:57.786 | 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 bfcdc228ad..5e643a48b3 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
=================
-**00:03.223** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.228** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.733 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.741 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.491 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.487 | 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 4e17d06cb4..4b2ecc47f8 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
=================
-**00:00.814** total execution time for **topic_vta_tutorials** files:
+**00:00.792** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.422 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.410 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.391 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.383 | 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 a394bed3a4..cb894392f0 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 91.383 ms
+ Execution time of this operator: 90.847 ms
@@ -434,7 +434,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 28.935 seconds)
+ **Total running time of the script:** ( 1 minutes 23.488 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 df1749dc48..0bb397467f 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: 7.71/7.71 result: MeasureResult(costs=(0.0347947744,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8221316337585449, timestamp=1710891068.4220045) [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
- No: 2 GFLOPS: 12.25/12.25 result: MeasureResult(costs=(0.0219181404,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6128833293914795, timestamp=1710891069.028484) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
- No: 3 GFLOPS: 4.27/12.25 result: MeasureResult(costs=(0.06279525820000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.2541136741638184, timestamp=1710891070.2856538) [('tile_y', [-1, 4]), ('tile_x', [-1, 2])],None,12
- No: 4 GFLOPS: 10.37/12.25 result: MeasureResult(costs=(0.0258840796,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6929762363433838, timestamp=1710891070.9494505) [('tile_y', [-1, 8]), ('tile_x', [-1, 16])],None,43
- No: 5 GFLOPS: 9.96/12.25 result: MeasureResult(costs=(0.0269646496,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6896214485168457, timestamp=1710891071.7486832) [('tile_y', [-1, 4]), ('tile_x', [-1, 32])],None,52
- No: 6 GFLOPS: 11.71/12.25 result: MeasureResult(costs=(0.0229145656,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6065020561218262, timestamp=1710891072.3749025) [('tile_y', [-1, 1]), ('tile_x', [-1, 512])],None,90
- No: 7 GFLOPS: 8.50/12.25 result: MeasureResult(costs=(0.0315876352,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7441771030426025, timestamp=1710891073.129483) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
- No: 8 GFLOPS: 12.46/12.46 result: MeasureResult(costs=(0.0215488502,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5886850357055664, timestamp=1710891073.7307832) [('tile_y', [-1, 32]), ('tile_x', [-1, 512])],None,95
- No: 9 GFLOPS: 9.40/12.46 result: MeasureResult(costs=(0.028551037600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6756076812744141, timestamp=1710891074.514714) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
- No: 10 GFLOPS: 9.51/12.46 result: MeasureResult(costs=(0.0282262544,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6678295135498047, timestamp=1710891075.2152681) [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
+ No: 1 GFLOPS: 0.53/0.53 result: MeasureResult(costs=(0.5090489937999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.416647911071777, timestamp=1710894474.6882467) [('tile_y', [-1, 128]), ('tile_x', [-1, 1])],None,7
+ No: 2 GFLOPS: 9.05/9.05 result: MeasureResult(costs=(0.0296773632,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7361867427825928, timestamp=1710894475.4157937) [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
+ No: 3 GFLOPS: 10.45/10.45 result: MeasureResult(costs=(0.0256811862,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6686582565307617, timestamp=1710894476.0809047) [('tile_y', [-1, 4]), ('tile_x', [-1, 32])],None,52
+ No: 4 GFLOPS: 1.85/10.45 result: MeasureResult(costs=(0.14526084420000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5570130348205566, timestamp=1710894478.6555336) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+ No: 5 GFLOPS: 11.85/11.85 result: MeasureResult(costs=(0.022649572599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.660667896270752, timestamp=1710894479.4917474) [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+ No: 6 GFLOPS: 12.96/12.96 result: MeasureResult(costs=(0.020708497200000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6941473484039307, timestamp=1710894480.0818915) [('tile_y', [-1, 256]), ('tile_x', [-1, 128])],None,78
+ No: 7 GFLOPS: 10.61/12.96 result: MeasureResult(costs=(0.025311545,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6804392337799072, timestamp=1710894480.7394679) [('tile_y', [-1, 4]), ('tile_x', [-1, 16])],None,42
+ No: 8 GFLOPS: 12.03/12.96 result: MeasureResult(costs=(0.022321908999999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6568014621734619, timestamp=1710894481.3551862) [('tile_y', [-1, 128]), ('tile_x', [-1, 256])],None,87
+ No: 9 GFLOPS: 10.41/12.96 result: MeasureResult(costs=(0.025784408800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6272268295288086, timestamp=1710894482.095248) [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
+ No: 10 GFLOPS: 11.88/12.96 result: MeasureResult(costs=(0.0225993418,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5798616409301758, timestamp=1710894482.7157207) [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 3b01b6a1bb..97710b1b86 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': 465.53934932999255, 'median': 465.4194689999713, 'std': 1.285533147941103}
+ {'mean': 458.1284671499998, 'median': 457.77063924999766, 'std': 0.6535131104625663}
@@ -582,30 +582,31 @@ the tuning data to.
.. code-block:: none
- [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 13.30/ 18.49 GFLOPS | Progress: (4/20) | 7.81 s [Task 1/25] Current/Best: 15.51/ 21.77 GFLOPS | Progress: (8/20) | 11.64 s [Task 1/25] Current/Best: 9.96/ 24.44 GFLOPS | Progress: (12/20) | 14.10 s [Task 1/25] Current/Best: 15.31/ 24.44 GFLOPS | Progress: (16/20) | 17.57 s [Task 1/25] Current/Best: 13.21/ 24.44 GFLOPS | Progress: (20/20) | 20.87 s Done.
- [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 13.47/ 17.30 GFLOPS | Progress: (4/20) | 4.17 s [Task 2/25] Current/Best: 13.67/ 22.25 GFLOPS | Progress: (8/20) | 6.04 s [Task 2/25] Current/Best: 17.70/ 22.25 GFLOPS | Progress: (12/20) | 7.76 s [Task 2/25] Current/Best: 7.23/ 22.25 GFLOPS | Progress: (16/20) | 9.41 s [Task 2/25] Current/Best: 14.88/ 22.25 GFLOPS | Progress: (20/20) | 11.12 s Done.
- [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 16.12/ 23.92 GFLOPS | Progress: (4/20) | 4.63 s [Task 3/25] Current/Best: 10.84/ 23.92 GFLOPS | Progress: (8/20) | 7.74 s [Task 3/25] Current/Best: 18.50/ 23.92 GFLOPS | Progress: (12/20) | 9.94 s [Task 3/25] Current/Best: 21.06/ 23.92 GFLOPS | Progress: (16/20) | 12.35 s [Task 3/25] Current/Best: 8.41/ 23.92 GFLOPS | Progress: (20/20) | 14.42 s Done.
- [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 17.81/ 22.22 GFLOPS | Progress: (4/20) | 4.25 s [Task 4/25] Current/Best: 10.38/ 22.22 GFLOPS | Progress: (8/20) | 6.95 s [Task 4/25] Current/Best: 10.40/ 23.30 GFLOPS | Progress: (12/20) | 8.71 s [Task 4/25] Current/Best: 9.88/ 23.30 GFLOPS | Progress: (16/20) | 12.22 s [Task 4/25] Current/Best: 14.80/ 23.30 GFLOPS | Progress: (20/20) | 15.15 s Done.
- [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 5.96/ 5.96 GFLOPS | Progress: (4/20) | 5.20 s [Task 5/25] Current/Best: 6.44/ 20.22 GFLOPS | Progress: (8/20) | 7.55 s [Task 5/25] Current/Best: 19.17/ 20.22 GFLOPS | Progress: (12/20) | 9.88 s [Task 5/25] Current/Best: 10.40/ 20.22 GFLOPS | Progress: (16/20) | 12.53 s [Task 5/25] Current/Best: 16.41/ 20.22 GFLOPS | Progress: (20/20) | 14.51 s Done.
- [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 6.57/ 13.90 GFLOPS | Progress: (4/20) | 6.62 s [Task 6/25] Current/Best: 18.92/ 22.17 GFLOPS | Progress: (8/20) | 8.75 s [Task 6/25] Current/Best: 16.84/ 22.17 GFLOPS | Progress: (12/20) | 13.50 s [Task 6/25] Current/Best: 18.74/ 22.17 GFLOPS | Progress: (16/20) | 15.59 s [Task 6/25] Current/Best: 12.81/ 22.17 GFLOPS | Progress: (20/20) | 19.21 s Done.
- [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 10.28/ 16.74 GFLOPS | Progress: (4/20) | 4.73 s [Task 7/25] Current/Best: 6.80/ 22.01 GFLOPS | Progress: (8/20) | 7.09 s [Task 7/25] Current/Best: 20.94/ 22.01 GFLOPS | Progress: (12/20) | 9.05 s [Task 7/25] Current/Best: 6.15/ 22.01 GFLOPS | Progress: (16/20) | 11.36 s [Task 7/25] Current/Best: 18.99/ 22.01 GFLOPS | Progress: (20/20) | 14.22 s Done.
- [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 13.60/ 14.19 GFLOPS | Progress: (4/20) | 5.63 s [Task 8/25] Current/Best: 13.90/ 14.19 GFLOPS | Progress: (8/20) | 9.04 s [Task 8/25] Current/Best: 9.05/ 14.19 GFLOPS | Progress: (12/20) | 15.85 s [Task 8/25] Current/Best: 5.94/ 18.92 GFLOPS | Progress: (16/20) | 19.32 s [Task 8/25] Current/Best: 6.25/ 18.92 GFLOPS | Progress: (20/20) | 30.42 s Done.
- [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 14.76/ 22.20 GFLOPS | Progress: (4/20) | 4.46 s [Task 9/25] Current/Best: 7.20/ 22.20 GFLOPS | Progress: (8/20) | 12.51 s [Task 9/25] Current/Best: 14.31/ 22.20 GFLOPS | Progress: (12/20) | 23.62 s [Task 9/25] Current/Best: 10.35/ 22.20 GFLOPS | Progress: (16/20) | 29.13 s [Task 9/25] Current/Best: 5.66/ 22.20 GFLOPS | Progress: (20/20) | 33.26 s Done.
- [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 1.60/ 22.84 GFLOPS | Progress: (4/20) | 4.72 s [Task 10/25] Current/Best: 15.62/ 22.84 GFLOPS | Progress: (8/20) | 7.20 s [Task 10/25] Current/Best: 5.87/ 22.84 GFLOPS | Progress: (12/20) | 10.02 s [Task 10/25] Current/Best: 14.31/ 22.84 GFLOPS | Progress: (16/20) | 12.50 s [Task 10/25] Current/Best: 2.51/ 22.84 GFLOPS | Progress: (20/20) | 14.80 s Done.
- [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 22.18/ 22.18 GFLOPS | Progress: (4/20) | 5.23 s [Task 11/25] Current/Best: 22.42/ 22.42 GFLOPS | Progress: (8/20) | 8.64 s [Task 11/25] Current/Best: 12.84/ 22.42 GFLOPS | Progress: (12/20) | 11.31 s [Task 11/25] Current/Best: 19.95/ 24.31 GFLOPS | Progress: (16/20) | 13.96 s [Task 11/25] Current/Best: 25.44/ 25.44 GFLOPS | Progress: (20/20) | 16.00 s Done.
- [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 5.50/ 17.21 GFLOPS | Progress: (4/20) | 6.11 s [Task 12/25] Current/Best: 18.99/ 18.99 GFLOPS | Progress: (8/20) | 8.53 s [Task 12/25] Current/Best: 13.83/ 18.99 GFLOPS | Progress: (12/20) | 14.19 s [Task 12/25] Current/Best: 7.10/ 18.99 GFLOPS | Progress: (16/20) | 17.69 s [Task 12/25] Current/Best: 15.58/ 18.99 GFLOPS | Progress: (20/20) | 20.50 s Done.
- [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 17.14/ 20.18 GFLOPS | Progress: (4/20) | 5.63 s [Task 13/25] Current/Best: 1.64/ 20.94 GFLOPS | Progress: (8/20) | 9.11 s [Task 13/25] Current/Best: 18.25/ 20.94 GFLOPS | Progress: (12/20) | 11.25 s [Task 13/25] Current/Best: 6.52/ 20.94 GFLOPS | Progress: (16/20) | 14.55 s [Task 13/25] Current/Best: 9.66/ 20.94 GFLOPS | Progress: (20/20) | 18.08 s Done.
- [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 9.15/ 23.33 GFLOPS | Progress: (4/20) | 10.67 s [Task 14/25] Current/Best: 20.28/ 23.33 GFLOPS | Progress: (8/20) | 12.90 s [Task 14/25] Current/Best: 20.86/ 23.33 GFLOPS | Progress: (12/20) | 24.11 s [Task 14/25] Current/Best: 9.13/ 23.33 GFLOPS | Progress: (16/20) | 36.97 s [Task 14/25] Current/Best: 12.35/ 23.33 GFLOPS | Progress: (20/20) | 39.31 s [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 12.92/ 20.07 GFLOPS | Progress: (4/20) | 4.47 s [Task 15/25] Current/Best: 16.93/ 20.07 GFLOPS | Progress: (8/20) | 6.28 s [Task 15/25] Current/Best: 7.24/ 20.07 GFLOPS | Progress: (12/20) | 8.20 s [Task 15/25] Current/Best: 12.53/ 20.07 GFLOPS | Progress: (16/20) | 12.78 s [Task 15/25] Current/Best: 20.46/ 20.46 GFLOPS | Progress: (20/2
0) | 24.02 s Done.
- [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 17.01/ 18.56 GFLOPS | Progress: (4/20) | 4.29 s [Task 16/25] Current/Best: 18.59/ 18.59 GFLOPS | Progress: (8/20) | 5.92 s [Task 16/25] Current/Best: 17.05/ 22.18 GFLOPS | Progress: (12/20) | 7.91 s [Task 16/25] Current/Best: 18.30/ 22.18 GFLOPS | Progress: (16/20) | 10.20 s [Task 16/25] Current/Best: 6.87/ 22.18 GFLOPS | Progress: (20/20) | 13.00 s Done.
- [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 10.98/ 13.63 GFLOPS | Progress: (4/20) | 5.15 s [Task 17/25] Current/Best: 11.35/ 13.63 GFLOPS | Progress: (8/20) | 7.94 s [Task 17/25] Current/Best: 22.87/ 22.87 GFLOPS | Progress: (12/20) | 10.40 s [Task 17/25] Current/Best: 7.51/ 22.87 GFLOPS | Progress: (16/20) | 12.73 s [Task 17/25] Current/Best: 8.01/ 22.87 GFLOPS | Progress: (20/20) | 15.56 s Done.
- [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 11.33/ 18.33 GFLOPS | Progress: (4/20) | 6.62 s [Task 18/25] Current/Best: 17.95/ 18.33 GFLOPS | Progress: (8/20) | 10.58 s [Task 18/25] Current/Best: 11.39/ 18.33 GFLOPS | Progress: (12/20) | 16.70 s [Task 18/25] Current/Best: 20.48/ 20.48 GFLOPS | Progress: (16/20) | 24.44 s [Task 18/25] Current/Best: 10.40/ 21.52 GFLOPS | Progress: (20/20) | 26.91 s Done.
- [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 23.44/ 23.44 GFLOPS | Progress: (4/20) | 5.45 s [Task 19/25] Current/Best: 19.13/ 23.44 GFLOPS | Progress: (8/20) | 8.05 s [Task 19/25] Current/Best: 1.63/ 23.44 GFLOPS | Progress: (12/20) | 11.93 s [Task 19/25] Current/Best: 19.82/ 23.44 GFLOPS | Progress: (16/20) | 15.12 s [Task 19/25] Current/Best: 20.61/ 23.44 GFLOPS | Progress: (20/20) | 19.59 s Done.
- [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 18.44/ 20.01 GFLOPS | Progress: (4/20) | 5.60 s [Task 20/25] Current/Best: 17.52/ 20.01 GFLOPS | Progress: (8/20) | 10.32 s [Task 20/25] Current/Best: 8.69/ 20.01 GFLOPS | Progress: (12/20) | 14.91 s [Task 20/25] Current/Best: 7.82/ 20.01 GFLOPS | Progress: (16/20) | 22.50 s [Task 20/25] Current/Best: 9.85/ 20.01 GFLOPS | Progress: (20/20) | 25.12 s Done.
- [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 11.18/ 20.90 GFLOPS | Progress: (4/20) | 5.19 s [Task 21/25] Current/Best: 19.29/ 20.90 GFLOPS | Progress: (8/20) | 7.55 s [Task 21/25] Current/Best: 6.92/ 22.87 GFLOPS | Progress: (12/20) | 13.34 s [Task 21/25] Current/Best: 21.92/ 22.87 GFLOPS | Progress: (16/20) | 14.86 s [Task 21/25] Current/Best: 5.60/ 22.87 GFLOPS | Progress: (20/20) | 26.34 s [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 20.82/ 22.85 GFLOPS | Progress: (4/20) | 5.22 s [Task 22/25] Current/Best: 10.25/ 22.85 GFLOPS | Progress: (8/20) | 6.98 s Done.
+ [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 17.85/ 22.79 GFLOPS | Progress: (4/20) | 8.08 s [Task 1/25] Current/Best: 7.66/ 22.79 GFLOPS | Progress: (8/20) | 10.18 s [Task 1/25] Current/Best: 8.47/ 22.79 GFLOPS | Progress: (12/20) | 12.92 s [Task 1/25] Current/Best: 11.56/ 23.49 GFLOPS | Progress: (16/20) | 15.03 s [Task 1/25] Current/Best: 7.67/ 23.49 GFLOPS | Progress: (20/20) | 17.70 s Done.
+ [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 19.44/ 22.11 GFLOPS | Progress: (4/20) | 3.96 s [Task 2/25] Current/Best: 21.44/ 22.11 GFLOPS | Progress: (8/20) | 5.89 s [Task 2/25] Current/Best: 6.77/ 22.11 GFLOPS | Progress: (12/20) | 7.26 s [Task 2/25] Current/Best: 19.66/ 22.11 GFLOPS | Progress: (16/20) | 8.83 s [Task 2/25] Current/Best: 5.61/ 22.11 GFLOPS | Progress: (20/20) | 10.39 s Done.
+ [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 15.19/ 24.30 GFLOPS | Progress: (4/20) | 4.59 s [Task 3/25] Current/Best: 22.83/ 24.30 GFLOPS | Progress: (8/20) | 7.42 s [Task 3/25] Current/Best: 19.99/ 24.30 GFLOPS | Progress: (12/20) | 9.41 s [Task 3/25] Current/Best: 23.89/ 24.30 GFLOPS | Progress: (16/20) | 12.54 s [Task 3/25] Current/Best: 18.20/ 24.30 GFLOPS | Progress: (20/20) | 14.45 s Done.
+ [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 22.08/ 22.08 GFLOPS | Progress: (4/20) | 4.36 s [Task 4/25] Current/Best: 11.13/ 22.08 GFLOPS | Progress: (8/20) | 8.53 s [Task 4/25] Current/Best: 10.58/ 22.08 GFLOPS | Progress: (12/20) | 11.90 s [Task 4/25] Current/Best: 17.25/ 22.08 GFLOPS | Progress: (16/20) | 13.95 s [Task 4/25] Current/Best: 3.84/ 22.08 GFLOPS | Progress: (20/20) | 16.11 s Done.
+ [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 8.47/ 18.09 GFLOPS | Progress: (4/20) | 4.99 s [Task 5/25] Current/Best: 5.07/ 22.56 GFLOPS | Progress: (8/20) | 8.13 s [Task 5/25] Current/Best: 12.67/ 22.56 GFLOPS | Progress: (12/20) | 10.49 s [Task 5/25] Current/Best: 5.94/ 22.56 GFLOPS | Progress: (16/20) | 12.47 s [Task 5/25] Current/Best: 21.04/ 22.56 GFLOPS | Progress: (20/20) | 14.25 s Done.
+ [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 14.68/ 22.53 GFLOPS | Progress: (4/20) | 4.75 s [Task 6/25] Current/Best: 11.27/ 22.53 GFLOPS | Progress: (8/20) | 7.93 s [Task 6/25] Current/Best: 11.86/ 22.53 GFLOPS | Progress: (12/20) | 10.57 s [Task 6/25] Current/Best: 11.03/ 22.53 GFLOPS | Progress: (16/20) | 15.78 s [Task 6/25] Current/Best: 3.35/ 22.53 GFLOPS | Progress: (20/20) | 18.43 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) | 5.10 s [Task 7/25] Current/Best: 21.27/ 21.27 GFLOPS | Progress: (8/20) | 7.33 s [Task 7/25] Current/Best: 8.00/ 21.27 GFLOPS | Progress: (12/20) | 10.10 s [Task 7/25] Current/Best: 13.98/ 21.27 GFLOPS | Progress: (16/20) | 12.58 s [Task 7/25] Current/Best: 1.64/ 21.27 GFLOPS | Progress: (20/20) | 16.24 s Done.
+ [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 9.45/ 20.71 GFLOPS | Progress: (4/20) | 4.65 s [Task 8/25] Current/Best: 15.36/ 20.71 GFLOPS | Progress: (8/20) | 6.68 s [Task 8/25] Current/Best: 12.13/ 20.71 GFLOPS | Progress: (12/20) | 14.13 s [Task 8/25] Current/Best: 7.30/ 20.71 GFLOPS | Progress: (16/20) | 25.65 s [Task 8/25] Current/Best: 6.44/ 20.71 GFLOPS | Progress: (20/20) | 28.98 s [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 6.75/ 20.54 GFLOPS | Progress: (4/20) | 5.24 s [Task 9/25] Current/Best: 12.80/ 20.54 GFLOPS | Progress: (8/20) | 8.44 s [Task 9/25] Current/Best: 14.77/ 22.47 GFLOPS | Progress: (12/20) | 10.55 s [Task 9/25] Current/Best: 5.01/ 22.47 GFLOPS | Progress: (16/20) | 13.21 s [Task 9/25] Current/Best: 12.73/ 22.47 GFLOPS | Progress: (20/20
) | 24.30 s [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 6.24/ 16.35 GFLOPS | Progress: (4/20) | 5.26 s [Task 10/25] Current/Best: 16.13/ 16.35 GFLOPS | Progress: (8/20) | 7.99 s [Task 10/25] Current/Best: 2.87/ 18.56 GFLOPS | Progress: (12/20) | 10.08 s [Task 10/25] Current/Best: 21.95/ 21.95 GFLOPS | Progress: (16/20) | 11.96 s [Task 10/25] Current/Best: 4.78/ 21.95 GFLOPS | Progress: (20/20) | 14.12 s Done.
+ [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 13.51/ 20.24 GFLOPS | Progress: (4/20) | 4.93 s [Task 11/25] Current/Best: 10.29/ 20.96 GFLOPS | Progress: (8/20) | 7.61 s [Task 11/25] Current/Best: 9.83/ 20.96 GFLOPS | Progress: (12/20) | 9.72 s [Task 11/25] Current/Best: 6.49/ 20.96 GFLOPS | Progress: (16/20) | 12.81 s [Task 11/25] Current/Best: 19.58/ 20.96 GFLOPS | Progress: (20/20) | 15.50 s Done.
+ [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 13.32/ 15.09 GFLOPS | Progress: (4/20) | 6.68 s [Task 12/25] Current/Best: 13.33/ 15.09 GFLOPS | Progress: (8/20) | 9.35 s [Task 12/25] Current/Best: 15.31/ 15.31 GFLOPS | Progress: (12/20) | 11.96 s [Task 12/25] Current/Best: 16.66/ 22.15 GFLOPS | Progress: (16/20) | 14.40 s [Task 12/25] Current/Best: 13.61/ 22.15 GFLOPS | Progress: (20/20) | 16.22 s Done.
+ [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 20.93/ 20.93 GFLOPS | Progress: (4/20) | 5.98 s [Task 13/25] Current/Best: 21.80/ 21.80 GFLOPS | Progress: (8/20) | 9.03 s [Task 13/25] Current/Best: 20.28/ 21.80 GFLOPS | Progress: (12/20) | 12.68 s [Task 13/25] Current/Best: 12.59/ 22.73 GFLOPS | Progress: (16/20) | 15.23 s [Task 13/25] Current/Best: 12.46/ 22.73 GFLOPS | Progress: (20/20) | 18.17 s Done.
+ [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 16.36/ 19.80 GFLOPS | Progress: (4/20) | 5.16 s [Task 14/25] Current/Best: 14.92/ 19.80 GFLOPS | Progress: (8/20) | 7.48 s [Task 14/25] Current/Best: 21.51/ 21.51 GFLOPS | Progress: (12/20) | 9.37 s [Task 14/25] Current/Best: 8.83/ 21.51 GFLOPS | Progress: (16/20) | 14.44 s [Task 14/25] Current/Best: 11.39/ 21.51 GFLOPS | Progress: (20/20) | 16.97 s Done.
+ [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 7.00/ 19.49 GFLOPS | Progress: (4/20) | 10.18 s [Task 15/25] Current/Best: 18.06/ 24.16 GFLOPS | Progress: (8/20) | 12.09 s [Task 15/25] Current/Best: 14.94/ 24.16 GFLOPS | Progress: (12/20) | 13.88 s [Task 15/25] Current/Best: 9.15/ 24.16 GFLOPS | Progress: (16/20) | 20.58 s [Task 15/25] Current/Best: 14.41/ 24.16 GFLOPS | Progress: (20/20) | 22.54 s Done.
+ [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 21.80/ 21.80 GFLOPS | Progress: (4/20) | 3.96 s [Task 16/25] Current/Best: 17.70/ 21.80 GFLOPS | Progress: (8/20) | 5.67 s [Task 16/25] Current/Best: 10.26/ 21.80 GFLOPS | Progress: (12/20) | 8.57 s [Task 16/25] Current/Best: 9.70/ 21.80 GFLOPS | Progress: (16/20) | 10.31 s [Task 16/25] Current/Best: 19.03/ 21.80 GFLOPS | Progress: (20/20) | 11.84 s Done.
+ [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 23.49/ 23.49 GFLOPS | Progress: (4/20) | 5.01 s [Task 17/25] Current/Best: 20.35/ 23.49 GFLOPS | Progress: (8/20) | 7.67 s [Task 17/25] Current/Best: 22.62/ 23.49 GFLOPS | Progress: (12/20) | 10.45 s [Task 17/25] Current/Best: 23.39/ 23.49 GFLOPS | Progress: (16/20) | 12.29 s [Task 17/25] Current/Best: 21.48/ 23.49 GFLOPS | Progress: (20/20) | 14.41 s Done.
+ [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 15.53/ 19.09 GFLOPS | Progress: (4/20) | 7.98 s [Task 18/25] Current/Best: 9.97/ 19.09 GFLOPS | Progress: (8/20) | 12.96 s [Task 18/25] Current/Best: 13.16/ 19.46 GFLOPS | Progress: (12/20) | 15.05 s Done.
Done.
- [Task 22/25] Current/Best: 2.82/ 22.85 GFLOPS | Progress: (12/20) | 9.48 s [Task 22/25] Current/Best: 17.89/ 22.85 GFLOPS | Progress: (16/20) | 12.51 s [Task 22/25] Current/Best: 18.83/ 22.85 GFLOPS | Progress: (20/20) | 14.85 s Done.
- [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 22.57/ 22.57 GFLOPS | Progress: (4/20) | 6.10 s [Task 23/25] Current/Best: 6.24/ 23.10 GFLOPS | Progress: (8/20) | 9.08 s [Task 23/25] Current/Best: 20.70/ 23.35 GFLOPS | Progress: (12/20) | 11.93 s [Task 23/25] Current/Best: 1.62/ 23.35 GFLOPS | Progress: (16/20) | 15.92 s [Task 23/25] Current/Best: 10.65/ 23.35 GFLOPS | Progress: (20/20) | 18.08 s Done.
- [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 6.03/ 8.19 GFLOPS | Progress: (4/20) | 13.46 s [Task 24/25] Current/Best: 1.89/ 8.19 GFLOPS | Progress: (8/20) | 25.87 s [Task 24/25] Current/Best: 3.70/ 8.19 GFLOPS | Progress: (12/20) | 34.94 s [Task 24/25] Current/Best: 2.87/ 9.85 GFLOPS | Progress: (16/20) | 41.31 s [Task 24/25] Current/Best: 2.21/ 10.08 GFLOPS | Progress: (20/20) | 50.69 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 1.63/ 7.97 GFLOPS | Progress: (4/20) | 3.88 s [Task 25/25] Current/Best: 4.47/ 7.97 GFLOPS | Progress: (8/20) | 5.54 s [Task 25/25] Current/Best: 1.63/ 8.14 GFLOPS | Progress: (12/20) | 16.54 s [Task 25/25] Current/Best: 3.02/ 8.14 GFLOPS | Progress: (16/20) | 22.67 s [Task 25/25] Current/Best: 7.08/ 8.14 GFLOPS | Progress: (20/
20) | 33.60 s
+ [Task 18/25] Current/Best: 17.38/ 19.46 GFLOPS | Progress: (16/20) | 18.20 s [Task 18/25] Current/Best: 15.23/ 19.46 GFLOPS | Progress: (20/20) | 22.42 s Done.
+ [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 11.63/ 18.32 GFLOPS | Progress: (4/20) | 6.12 s [Task 19/25] Current/Best: 10.69/ 20.58 GFLOPS | Progress: (8/20) | 10.00 s [Task 19/25] Current/Best: 8.21/ 20.58 GFLOPS | Progress: (12/20) | 15.86 s [Task 19/25] Current/Best: 12.25/ 23.38 GFLOPS | Progress: (16/20) | 19.45 s [Task 19/25] Current/Best: 10.52/ 23.38 GFLOPS | Progress: (20/20) | 24.88 s Done.
+ [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 2.78/ 18.75 GFLOPS | Progress: (4/20) | 9.52 s [Task 20/25] Current/Best: 6.24/ 18.75 GFLOPS | Progress: (8/20) | 18.49 s [Task 20/25] Current/Best: 5.99/ 18.75 GFLOPS | Progress: (12/20) | 27.15 s [Task 20/25] Current/Best: 6.43/ 19.58 GFLOPS | Progress: (16/20) | 38.73 s [Task 20/25] Current/Best: 17.50/ 19.58 GFLOPS | Progress: (20/20) | 42.51 s [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 23.08/ 23.08 GFLOPS | Progress: (4/20) | 5.26 s [Task 21/25] Current/Best: 18.48/ 23.08 GFLOPS | Progress: (8/20) | 11.19 s [Task 21/25] Current/Best: 10.25/ 23.08 GFLOPS | Progress: (12/20) | 13.89 s [Task 21/25] Current/Best: 4.94/ 23.08 GFLOPS | Progress: (16/20) | 20.08 s [Task 21/25] Current/Best: 16.40/ 23.08 GFLOPS | Progress: (20/
20) | 23.44 s Done.
+ [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 24.09/ 24.09 GFLOPS | Progress: (4/20) | 5.47 s [Task 22/25] Current/Best: 16.40/ 24.09 GFLOPS | Progress: (8/20) | 7.47 s [Task 22/25] Current/Best: 20.34/ 24.09 GFLOPS | Progress: (12/20) | 9.17 s [Task 22/25] Current/Best: 10.96/ 24.09 GFLOPS | Progress: (16/20) | 10.74 s [Task 22/25] Current/Best: 10.08/ 24.09 GFLOPS | Progress: (20/20) | 13.34 s Done.
+ [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 12.12/ 13.91 GFLOPS | Progress: (4/20) | 6.37 s [Task 23/25] Current/Best: 6.37/ 23.28 GFLOPS | Progress: (8/20) | 8.80 s [Task 23/25] Current/Best: 7.63/ 23.28 GFLOPS | Progress: (12/20) | 16.09 s [Task 23/25] Current/Best: 20.78/ 23.28 GFLOPS | Progress: (16/20) | 18.67 s [Task 23/25] Current/Best: 11.81/ 23.28 GFLOPS | Progress: (20/20) | 22.64 s Done.
+ [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 8.44/ 8.44 GFLOPS | Progress: (4/20) | 13.43 s [Task 24/25] Current/Best: 2.74/ 10.48 GFLOPS | Progress: (8/20) | 23.19 s [Task 24/25] Current/Best: 3.07/ 10.48 GFLOPS | Progress: (12/20) | 33.89 s [Task 24/25] Current/Best: 10.11/ 10.48 GFLOPS | Progress: (16/20) | 36.39 s [Task 24/25] Current/Best: 2.99/ 10.48 GFLOPS | Progress: (20/20) | 43.33 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 1.60/ 9.21 GFLOPS | Progress: (4/20) | 13.45 s Done.
+ Done.
+ [Task 25/25] Current/Best: 7.06/ 9.48 GFLOPS | Progress: (8/20) | 24.39 s [Task 25/25] Current/Best: 6.24/ 9.48 GFLOPS | Progress: (12/20) | 26.80 s [Task 25/25] Current/Best: 8.44/ 9.48 GFLOPS | Progress: (16/20) | 37.74 s [Task 25/25] Current/Best: 9.53/ 9.53 GFLOPS | Progress: (20/20) | 50.38 s
@@ -674,7 +675,6 @@ model using optimized operators to speed up our computations.
.. code-block:: none
Done.
- Done.
@@ -708,8 +708,8 @@ 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
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 373.8521839499299, 'median': 372.1103433501412, 'std': 3.0962811803125643}
- unoptimized: {'mean': 465.53934932999255, 'median': 465.4194689999713, 'std': 1.285533147941103}
+ optimized: {'mean': 374.44521903998066, 'median': 374.5233382999686, 'std': 0.22952450425049462}
+ unoptimized: {'mean': 458.1284671499998, 'median': 457.77063924999766, 'std': 0.6535131104625663}
@@ -790,7 +790,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 13 minutes 11.993 seconds)
+ **Total running time of the script:** ( 12 minutes 50.930 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 ed25719f2b..0eceb13f64 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
- 1.095e-07 secs/op
+ 1.161e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 9233879915..7b2e62af73 100644
--- a/docs/_sources/tutorial/intro_topi.rst.txt
+++ b/docs/_sources/tutorial/intro_topi.rst.txt
@@ -270,7 +270,7 @@ As you can see, scheduled stages of computation have been accumulated and we can
.. code-block:: none
- [stage(a, placeholder(a, 0x1b3bec30)), stage(b, placeholder(b, 0x12f164c0)), 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, 0x11673b20)), stage(b, placeholder(b, 0x2c755ee0)), 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 bd725dec1a..874c9bb902 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,31 +5,31 @@
Computation times
=================
-**16:36.429** total execution time for **tutorial** files:
+**16:20.620** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:11.993 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 12:50.930 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:28.935 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:23.488 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:58.278 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:59.795 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:41.896 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:42.133 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:13.403 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:22.359 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.871 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.874 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.856 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.848 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.196 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.193 | 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_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_introduction.py` (``introduction.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 750480b76c..3d506ebce8 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -286,7 +286,7 @@ helper function to run a profile of the TVM generated code.
.. code-block:: none
Numpy running time: 0.000006
- naive: 0.000005
+ naive: 0.000006
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
.. code-block:: none
- parallel: 0.000006
+ parallel: 0.000007
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000041
+ vector: 0.000038
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 6.473159955930896e-06 1.0
- naive 5.4715e-06 0.8452595080686758
- parallel 5.6948e-06 0.8797557975965448
- vector 4.11393e-05 6.355365892404217
+ numpy 5.849019999004668e-06 1.0
+ naive 5.6336e-06 0.9631698987110103
+ parallel 7.087799999999999e-06 1.2117927449737111
+ vector 3.810100000000001e-05 6.514082702142185
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.013637
+ Numpy running time: 0.014559
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.390352
+ none: 3.488085
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.277123
+ blocking: 0.279875
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.263946
+ vectorization: 0.260944
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1230,7 +1230,7 @@ more cache friendly.
.. code-block:: none
- loop permutation: 0.108300
+ loop permutation: 0.110492
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1321,7 +1321,7 @@ optimized schedule.
.. code-block:: none
- array packing: 0.101461
+ array packing: 0.102699
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1404,7 +1404,7 @@ to `C` when all the block results are ready.
.. code-block:: none
- block caching: 0.092547
+ block caching: 0.094538
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1478,7 +1478,7 @@ of thread-level parallelization.
.. code-block:: none
- parallelization: 0.110214
+ parallelization: 0.111518
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1548,13 +1548,13 @@ working, we can compare the results.
.. code-block:: none
Operator Timing Performance
- none 3.3903520501999997 1.0
- blocking 0.2771229321 0.08173868907910382
- vectorization 0.26394578 0.07785202719122625
- loop permutation 0.10830016849999999 0.03194363502563437
- array packing 0.1014611704 0.029926440941144952
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+ none 3.4880850799000003 1.0
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diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 6260c9c08e..4a06814b2b 100644
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</pre></div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 34.367 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
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<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_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
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--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,15 +468,14 @@ 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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diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 12b26b40e5..0ff5f338b8 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,6 +503,7 @@ To begin, we’ll install PaddlePaddle>=2.1.3:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>TVM prediction top-1 id: 282, class name: 282: 'tiger cat',
</pre></div>
</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 0.474 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-paddle-py">
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<p><a class="reference download internal" download="" href="../../_downloads/16269b77359771348d507395692524cf/from_paddle.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_paddle.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index da8cd7f773..292a917e01 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,14 +451,10 @@ 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 4240bae873..7b5cd53c3b 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ 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 28.395 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 28.715 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 311b804955..dd3dd02ec1 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>06:26.454</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:31.088</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -369,39 +369,39 @@
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<tbody>
<tr class="row-odd"><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>
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</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>
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+<td><p>01:00.474</p></td>
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</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>
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</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_coreml.html#sphx-glr-how-to-compile-models-from-coreml-py"><span class="std std-ref">Compile CoreML Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_coreml.py</span></code>)</p></td>
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<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>
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+<td><p>00:27.061</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>
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<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
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+<td><p>00:11.681</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:02.767</p></td>
+<td><p>00:02.794</p></td>
<td><p>0.0 MB</p></td>
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</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 43ad780a57..7bd46734bb 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -850,10 +850,10 @@ Top5 predictions:
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3933.7167 3932.9046 3941.3981 3930.5083 3.0752
+ 3996.6765 3992.7973 4033.2516 3990.0105 12.2869
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 16.184 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 16.958 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-model-on-adreno-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/2387d8448da213eb625e6b3d916327d4/deploy_model_on_adreno.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_model_on_adreno.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
index c9c2adab55..e0330252ce 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -458,22 +458,25 @@ to run this tutorial with a real device over rpc.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
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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 88edb69cef..c69cf72e9f 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 13.5934 13.5913 13.7359 13.4603 0.0841
+ 14.1374 13.8925 15.1151 13.7253 0.4545
</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
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--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,35 +474,38 @@ 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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+ 52%|#####1 | 88.0M/170M [00:02<00:01, 45.1MB/s]
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+ 82%|########1 | 139M/170M [00:03<00:01, 32.3MB/s]
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+100%|##########| 170M/170M [00:04<00:00, 35.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: 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).
(torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: 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).
@@ -593,7 +596,7 @@ 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 19.945 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 19.040 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 4267255100..e3e21d3dc3 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,8 +515,9 @@ 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
0%| | 0.00/13.6M [00:00<?, ?B/s]
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-100%|##########| 13.6M/13.6M [00:00<00:00, 49.5MB/s]
+ 47%|####6 | 6.30M/13.6M [00:00<00:00, 35.3MB/s]
+ 71%|#######1 | 9.67M/13.6M [00:00<00:00, 29.6MB/s]
+100%|##########| 13.6M/13.6M [00:00<00:00, 36.0MB/s]
</pre></div>
</div>
</div>
@@ -607,7 +608,7 @@ 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)
- 86.1091 86.0789 88.0522 85.8913 0.2292
+ 86.1002 85.9970 88.6533 85.7360 0.4359
</pre></div>
</div>
<div class="admonition note">
@@ -646,7 +647,7 @@ 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 25.701 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 25.703 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 538a63f68b..b79158a603 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -600,7 +600,7 @@ 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)
- 106.4155 106.6130 108.0154 104.8611 0.6820
+ 106.1243 106.0325 109.0603 105.4018 0.4528
</pre></div>
</div>
<div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 79187a91cd..8866fa990f 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>09:22.905</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:23.841</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
@@ -369,35 +369,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:19.945</p></td>
+<td><p>03:19.040</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>01:25.701</p></td>
+<td><p>01:25.703</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>01:16.184</p></td>
+<td><p>01:16.958</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:50.436</p></td>
+<td><p>00:50.223</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>00:48.960</p></td>
+<td><p>00:48.935</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_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>00:44.588</p></td>
+<td><p>00:45.729</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:28.549</p></td>
+<td><p>00:28.743</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:28.534</p></td>
+<td><p>00:28.502</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index c79e0bd99e..2c525625d6 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>00:04.059</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:03.810</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,11 +369,11 @@
</colgroup>
<tbody>
<tr class="row-odd"><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>00:02.826</p></td>
+<td><p>00:02.638</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:01.226</p></td>
+<td><p>00:01.165</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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 1e21ad510b..e5ae25882c 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -545,10 +545,10 @@ 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: 24538us [24538us] (48.42%; 48.42%)
-FoldScaleAxis: 26136us [7us] (51.58%; 51.58%)
- FoldConstant: 26129us [1822us] (51.56%; 99.97%)
- InferType: 24307us [24307us] (47.97%; 93.03%)
+InferType: 24995us [24995us] (49.23%; 49.23%)
+FoldScaleAxis: 25781us [7us] (50.77%; 50.77%)
+ FoldConstant: 25774us [1847us] (50.76%; 99.97%)
+ InferType: 23928us [23928us] (47.12%; 92.84%)
</pre></div>
</div>
</div>
@@ -570,10 +570,10 @@ 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: 24285us [24285us] (48.46%; 48.46%)
-FoldScaleAxis: 25831us [7us] (51.54%; 51.54%)
- FoldConstant: 25824us [1792us] (51.53%; 99.97%)
- InferType: 24032us [24032us] (47.95%; 93.06%)
+InferType: 23786us [23786us] (48.74%; 48.74%)
+FoldScaleAxis: 25011us [5us] (51.26%; 51.26%)
+ FoldConstant: 25006us [1699us] (51.24%; 99.98%)
+ InferType: 23307us [23307us] (47.76%; 93.21%)
</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 162c7e1a19..babb0613ab 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -595,7 +595,7 @@ 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: 41.710334 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 51.506145 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 c2779149f0..e37f7571de 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -877,7 +877,7 @@ 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: 12.272928 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.269565 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 3bda160cf3..cd61e695ac 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -492,8 +492,8 @@ 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: 0.014037
-Baseline: 3.488495
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.013554
+Baseline: 3.493804
</pre></div>
</div>
<p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -552,7 +552,7 @@ 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: 0.283632
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.285353
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -609,7 +609,7 @@ 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: 0.257944
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.265450
</pre></div>
</div>
<p>Here is the generated IR after vectorization.</p>
@@ -664,7 +664,7 @@ 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: 0.110829
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.107423
</pre></div>
</div>
<p>Here is the generated IR after loop permutation.</p>
@@ -741,7 +741,7 @@ 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: 0.104572
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.101637
</pre></div>
</div>
<p>Here is the generated IR after array packing.</p>
@@ -819,7 +819,7 @@ write to C when all the block results are ready.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Opt5: </span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.095401
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.094267
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -899,7 +899,7 @@ 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: 0.112632
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.111930
</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 da0e5e072e..89fc7a1d54 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>00:31.870</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:31.799</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,15 +369,15 @@
</colgroup>
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<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>00:28.902</p></td>
+<td><p>00:28.871</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>00:01.801</p></td>
+<td><p>00:01.779</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>00:01.167</p></td>
+<td><p>00:01.148</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 3810b988e0..91097b566d 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>03:33.235</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:29.273</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -369,27 +369,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><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>01:32.721</p></td>
+<td><p>01:30.797</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>01:11.951</p></td>
+<td><p>01:10.661</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>00:17.641</p></td>
+<td><p>00:17.192</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>00:16.202</p></td>
+<td><p>00:15.961</p></td>
<td><p>0.0 MB</p></td>
</tr>
<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>00:14.623</p></td>
+<td><p>00:14.562</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>00:00.096</p></td>
+<td><p>00:00.100</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 14488da116..e604733d55 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
@@ -1032,7 +1032,7 @@ 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: 0.338 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.344 ms
</pre></div>
</div>
</div>
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 480b16b165..5412eba563 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -923,7 +923,7 @@ 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)
- 3.2116 3.2117 3.2122 3.2109 0.0005
+ 3.2318 3.2313 3.2416 3.2227 0.0077
</pre></div>
</div>
</div>
@@ -945,7 +945,7 @@ 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 11.951 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 10.661 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 f70114f96a..7a1cbf18c6 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -945,7 +945,7 @@ 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)
- 700.0491 700.2905 700.8850 698.9718 0.7995
+ 703.8866 704.3750 704.9002 702.3846 1.0835
</pre></div>
</div>
</div>
@@ -967,7 +967,7 @@ 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 32.721 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 30.797 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_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index ca550c5dc5..3122378599 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<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>00:22.724</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:22.582</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,22 +369,22 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></td>
-<td><p>00:22.687</p></td>
+<td><p>00:22.547</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></td>
-<td><p>00:00.022</p></td>
+<td><p>00:00.021</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_cuda.py</span></code>)</p></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index 19c795b087..1a1219108c 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -630,7 +630,7 @@ and measure running time.</p>
Best config:
,None
-Time cost of this operator: 0.037056
+Time cost of this operator: 0.037225
</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 e2b5a4aced..aaf77c10bc 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -664,10 +664,10 @@ 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 295.3 98.73 (1, 2, 10, 10, 3) 2 1 [295.3]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.869 0.959 (1, 6, 10, 10) 1 1 [2.869]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.931 0.311 (1, 1, 10, 10, 3) 1 1 [0.931]
-Total_time - 299.099 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 298.8 98.77 (1, 2, 10, 10, 3) 2 1 [298.8]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.797 0.924 (1, 6, 10, 10) 1 1 [2.797]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.924 0.305 (1, 1, 10, 10, 3) 1 1 [0.924]
+Total_time - 302.52 - - - - -
</pre></div>
</div>
</div>
@@ -719,13 +719,13 @@ 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 98.75 97.452 (1, 6, 10, 10, 1) 2 1 [98.75]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.759 1.736 (1, 6, 10, 10) 1 1 [1.759]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.823 0.812 (1, 3, 10, 10, 1) 1 1 [0.823]
-Total_time - 101.332 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 101.4 97.465 (1, 6, 10, 10, 1) 2 1 [101.4]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.705 1.639 (1, 6, 10, 10) 1 1 [1.705]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.932 0.896 (1, 1, 10, 10, 3) 1 1 [0.932]
+Total_time - 104.037 - - - - -
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 25.993 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 22.295 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-autotune-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/9ccca8fd489a1486ac71b55a55c320c5/micro_autotune.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_autotune.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index f36f78f3e6..befaebe3de 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,8 +475,8 @@ 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]
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/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -604,7 +604,7 @@ 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><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 ad2de77d10..ba65a75e20 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -543,7 +543,7 @@ 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>
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</pre></div>
</div>
</div>
@@ -603,8 +603,8 @@ 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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</pre></div>
</div>
</div>
@@ -716,13 +716,13 @@ the time on our validation set).</p>
</pre></div>
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Epoch 2/3
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+328/328 - 34s - loss: 0.1015 - accuracy: 0.9626 - val_loss: 0.1657 - val_accuracy: 0.9418 - 34s/epoch - 105ms/step
Epoch 3/3
-328/328 - 34s - loss: 0.0705 - accuracy: 0.9719 - val_loss: 0.1033 - val_accuracy: 0.9637 - 34s/epoch - 105ms/step
+328/328 - 34s - loss: 0.0645 - accuracy: 0.9774 - val_loss: 0.1028 - val_accuracy: 0.9668 - 34s/epoch - 104ms/step
-<keras.callbacks.History object at 0x7fd5416534f0>
+<keras.callbacks.History object at 0x7f6432ec3670>
</pre></div>
</div>
</div>
@@ -986,7 +986,7 @@ 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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<tr class="row-even"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
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<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">7. 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>
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index 42ed620cd3..377aefbb8b 100644
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<div class="section" id="computation-times">
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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 1002215038..05afa57050 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -572,7 +572,7 @@ 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">= [...]
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</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
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<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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<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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<tr class="row-odd"><td><p><a class="reference internal" href="reduction.html#sphx-glr-how-to-work-with-schedules-reduction-py"><span class="std std-ref">Reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">reduction.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="extern_op.html#sphx-glr-how-to-work-with-schedules-extern-op-py"><span class="std std-ref">External Tensor Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">extern_op.py</span></code>)</p></td>
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<p class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
<ul class="current">
<li class="toctree-l1 current"><a class="reference internal" href="index.html">Installing TVM</a><ul class="current">
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+<li class="toctree-l3"><a class="reference internal" href="from_source.html#build-the-shared-library">Build the Shared Library</a></li>
+<li class="toctree-l3"><a class="reference internal" href="from_source.html#python-package-installation">Python Package Installation</a></li>
+<li class="toctree-l3 current"><a class="reference internal" href="from_source.html#install-contrib-libraries">Install Contrib Libraries</a><ul class="current">
+<li class="toctree-l4 current"><a class="current reference internal" href="#">NNPACK Contrib Installation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="docker.html">Docker Images</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">NNPACK Contrib Installation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#conditions">Conditions</a></li>
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<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> * (n < 10) || (n < 5) => (n < 5)</span></div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b"> 336</a></span>  <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b">kApplyConstraintsToBooleanBranches</a> = (1 << 2),</div>
-<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  };</div>
-<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  </div>
-<div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38"> 344</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38">SetEnabledExtensions</a>(<a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> flags);</div>
-<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div>
-<div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a2066e6d9a5b71d482c73542d0ca8c7a3"> 347</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a2066e6d9a5b71d482c73542d0ca8c7a3">GetEnabledExtensions</a>() <span class="keyword">const</span>;</div>
-<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  </div>
-<div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5cbec380389ea7ccaa753d35d7a2dee9"> 350</a></span>  TVM_DLL <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5cbec380389ea7ccaa753d35d7a2dee9">GetStatsCounters</a>() <span class="keyword">const</span>;</div>
-<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  </div>
-<div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f"> 353</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f">ResetStatsCounters</a>();</div>
-<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  </div>
-<div class="line"><a name="l00368"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178"> 368</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178">SetMaximumRewriteSteps</a>(int64_t <a class="code" href="namespacetvm_1_1topi.html#afd64bc3e27dfc97002d3add5d7ce4174">maximum</a>);</div>
-<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  </div>
-<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a88d594816df596eed10643082b0d0805"> 371</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
-<div class="line"><a name="l00372"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 372</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
-<div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#abd092d074e3063da6d7bb0c67115a33f"> 373</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>;</div>
-<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
-<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a>();</div>
-<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keyword">class </span>Impl;</div>
-<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  Impl* impl_;</div>
-<div class="line"><a name="l00379"></a><span class="lineno"> 379</span> };</div>
+<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  </div>
+<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">/* Special handling for expressions `(A+B)*C < (A*B)*D`</span></div>
+<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="comment"> * Expressions of the form `(A+B)*C < (A*B)*D` can occur occur</span></div>
+<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="comment"> * when comparing the number of operations required for two</span></div>
+<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="comment"> * different orderings in which matrix multiplications can be</span></div>
+<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="comment"> * performed. Proving or disproving this conditional allows an</span></div>
+<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="comment"> * optimal order of execution to be selected, even for dynamic</span></div>
+<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="comment"> * argument shapes.</span></div>
+<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="comment"> * The default behavior of `ConstIntBounds` assumes that each term</span></div>
+<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="comment"> * in an expression is independent, and is insufficient to prove</span></div>
+<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="comment"> * these inequalities. For example, the maximum value of `(A+B)*C</span></div>
+<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment"> * - (A*B)*D` is determined by taking the maximum value of</span></div>
+<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="comment"> * `(A+B)*C` and subtracting the minimum value of `(A*B)*D`.</span></div>
+<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="comment"> * While this algorithm can be applied in all cases, the bound it</span></div>
+<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="comment"> * provides is looser than strictly required.</span></div>
+<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="comment"> * This extension adds a check for this case. When `A`, `B`, `C`,</span></div>
+<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="comment"> * and `D` are all positive values, as is the case for tensor</span></div>
+<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="comment"> * shapes, the inequality can be written as `1/A + 1/B < D/C`. If</span></div>
+<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="comment"> * this inequality holds for the minimum values of `A`, `B`, and</span></div>
+<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="comment"> * `D`, along with the maximum value of `C`, then the inequality</span></div>
+<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="comment"> * holds for all values.</span></div>
+<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="comment"> * This extension requires little to no performance overhead, and</span></div>
+<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="comment"> * may be enabled by default in future releases.</span></div>
+<div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="comment"> */</span></div>
+<div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23"> 365</a></span>  <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">kComparisonOfProductAndSum</a> = (1 << 3),</div>
+<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  };</div>
+<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  </div>
+<div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38"> 373</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38">SetEnabledExtensions</a>(<a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> flags);</div>
+<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  </div>
+<div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a2066e6d9a5b71d482c73542d0ca8c7a3"> 376</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a2066e6d9a5b71d482c73542d0ca8c7a3">GetEnabledExtensions</a>() <span class="keyword">const</span>;</div>
+<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  </div>
+<div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5cbec380389ea7ccaa753d35d7a2dee9"> 379</a></span>  TVM_DLL <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5cbec380389ea7ccaa753d35d7a2dee9">GetStatsCounters</a>() <span class="keyword">const</span>;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div>
-<div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html"> 384</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> {</div>
-<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a2ed4ed7990499ee188e69967afb511c6"> 391</a></span>  TVM_DLL <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a2ed4ed7990499ee188e69967afb511c6">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr);</div>
-<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  </div>
-<div class="line"><a name="l00400"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a790c032e12c7d93e9e940297b860c509"> 400</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a790c032e12c7d93e9e940297b860c509">Update</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html# [...]
-<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  </div>
-<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00403"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a88d594816df596eed10643082b0d0805"> 403</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
-<div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 404</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
-<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
-<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>();</div>
-<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">class </span>Impl;</div>
-<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  Impl* impl_;</div>
-<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> };</div>
-<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  </div>
-<div class="line"><a name="l00417"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0"> 417</a></span> <span class="keyword">enum class</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> : int {</div>
-<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0af9f8d006118de5ad04dd7c000b8f3b91">kInconsistent</a> = 0,</div>
-<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a7db2fe13b438b1005c70fcc9ab826b3b">kEQ</a> = 1,</div>
-<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0add0f23f162dcf68bf7bc761ac13040ae">kLT</a> = 2,</div>
-<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a1893df55d7fc768f2336fdcb7c7b9c37">kLE</a> = 3,</div>
-<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0aa3d18adb9a64157d6708f8ba39dfcdbc">kGT</a> = 4,</div>
-<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0ac0275be4f85005f8ef340d3d5be8d361">kGE</a> = 5,</div>
-<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a03e3ad128c41e04acc6a0e59fdf11a58">kNE</a> = 6,</div>
-<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="namespacetvm_1_1arith.html#aca8806e355ad3dd5f1df9c1eca9aac9da8812c1a077255594d23bc1c2f3af3979">kUnknown</a> = 7</div>
-<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> };</div>
-<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  </div>
-<div class="line"><a name="l00428"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe"> 428</a></span> <span class="keyword">inline</span> constexpr <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe">operator&</a>(<a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f [...]
-<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(lhs) & <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(rhs));</div>
-<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div>
-<div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7"> 431</a></span> <span class="keyword">inline</span> constexpr <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7">operator|</a>(<a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69 [...]
-<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">return</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(lhs) | <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(rhs));</div>
-<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div>
-<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div>
-<div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html"> 441</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a> {</div>
-<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="comment">/* \brief Using previously specified knowns, compare the expressions provided</span></div>
-<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="comment"> * \param lhs The left-hand side of the comparison</span></div>
-<div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="comment"> * \param rhs The right-hand side of the comparison</span></div>
-<div class="line"><a name="l00448"></a><span class="lineno"> 448</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> <span class="comment"> * \param propagate_inequalities If true, attempt to find a sequence</span></div>
-<div class="line"><a name="l00450"></a><span class="lineno"> 450</span> <span class="comment"> * of transitive inequalities that allow the lhs and rhs to be</span></div>
-<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="comment"> * compared. If false, only use the known comparison that have been</span></div>
-<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <span class="comment"> * directly provided. Using `propagate_inequalities = false` is</span></div>
-<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> <span class="comment"> * roughly equivalent to comparing against all known inequality</span></div>
-<div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="comment"> * expressions using `ExprDeepEqual`, but also allows for constant</span></div>
-<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="comment"> * offsets on either side of the inequality.</span></div>
-<div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="comment"> * \return The most specific result that can be proven about the</span></div>
-<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="comment"> * comparison. If nothing can be proven, returns kUnknown.</span></div>
-<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> <span class="comment"> */</span></div>
-<div class="line"><a name="l00460"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ad00ac744402de84c7c3d6f2f46a6f7c7"> 460</a></span>  TVM_DLL <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ad00ac744402de84c7c3d6f2f46a6f7c7">TryCompare</a>(<span class="keyword">const</span> <a class="code" href="cl [...]
-<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordtype">bool</span> propagate_inequalities = <span class="keyword">true</span>);</div>
-<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  </div>
-<div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779"> 469</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespac [...]
-<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  </div>
-<div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a1a57e873676402922a7af5b8e1991f00"> 477</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a1a57e873676402922a7af5b8e1991f00">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespac [...]
-<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  </div>
-<div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab0c67cf201be8b57460cc155e5ff352a"> 485</a></span>  TVM_DLL std::function<void()> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab0c67cf201be8b57460cc155e5ff352a">EnterConstraint</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& constraint);</div>
-<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  </div>
-<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00488"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a88d594816df596eed10643082b0d0805"> 488</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
-<div class="line"><a name="l00489"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 489</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
-<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a>();</div>
-<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a>();</div>
-<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">class </span>Impl;</div>
-<div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1ConstraintContext.html#acf0da349a64c42ae689d9459ae09f0e3"> 494</a></span>  std::unique_ptr<Impl> impl_;</div>
-<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> };</div>
-<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  </div>
-<div class="line"><a name="l00513"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1ConstraintContext.html"> 513</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a> {</div>
-<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// declare friend to enable with.</span></div>
-<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1With.html">With</a><<a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>>;</div>
-<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* analyzer, <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> constraint)</div>
-<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  : analyzer_(analyzer), constraint_(constraint) {}</div>
-<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="comment">// enter the scope.</span></div>
-<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordtype">void</span> EnterWithScope();</div>
-<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="comment">// exit the scope.</span></div>
-<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordtype">void</span> ExitWithScope();</div>
-<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* analyzer_;</div>
-<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> constraint_;</div>
-<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  std::vector<std::function<void()>> recovery_functions_;</div>
-<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> };</div>
-<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  </div>
-<div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html"> 539</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> {</div>
-<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00549"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ac8784f523d61adffbded801b17d4c2bf"> 549</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ac8784f523d61adffbded801b17d4c2bf">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, <span class="k [...]
-<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  </div>
-<div class="line"><a name="l00559"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#af4274caf7f5a6af64fbafc2f2465f591"> 559</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#af4274caf7f5a6af64fbafc2f2465f591">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr);</div>
-<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  </div>
-<div class="line"><a name="l00568"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a9a201c941931807b4b88eedc4f8c03f4"> 568</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a9a201c941931807b4b88eedc4f8c03f4">Update</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f847 [...]
-<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  </div>
-<div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d"> 577</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710 [...]
-<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  </div>
-<div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a096433dd7bde50f73eed4854af8b6111"> 579</a></span>  std::function<void()> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a096433dd7bde50f73eed4854af8b6111">EnterConstraint</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& constraint);</div>
-<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  </div>
-<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00582"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a88d594816df596eed10643082b0d0805"> 582</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
-<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
-<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a>();</div>
-<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keyword">class </span>Impl;</div>
-<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  Impl* impl_;</div>
-<div class="line"><a name="l00588"></a><span class="lineno"> 588</span> };</div>
+<div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f"> 382</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f">ResetStatsCounters</a>();</div>
+<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  </div>
+<div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178"> 397</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178">SetMaximumRewriteSteps</a>(int64_t <a class="code" href="namespacetvm_1_1topi.html#afd64bc3e27dfc97002d3add5d7ce4174">maximum</a>);</div>
+<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  </div>
+<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00400"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a88d594816df596eed10643082b0d0805"> 400</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
+<div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 401</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
+<div class="line"><a name="l00402"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1RewriteSimplifier.html#abd092d074e3063da6d7bb0c67115a33f"> 402</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>;</div>
+<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
+<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a>();</div>
+<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">class </span>Impl;</div>
+<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  Impl* impl_;</div>
+<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> };</div>
+<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  </div>
+<div class="line"><a name="l00413"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html"> 413</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> {</div>
+<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a2ed4ed7990499ee188e69967afb511c6"> 420</a></span>  TVM_DLL <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a2ed4ed7990499ee188e69967afb511c6">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr);</div>
+<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  </div>
+<div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a790c032e12c7d93e9e940297b860c509"> 429</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a790c032e12c7d93e9e940297b860c509">Update</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html# [...]
+<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
+<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a88d594816df596eed10643082b0d0805"> 432</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
+<div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1CanonicalSimplifier.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 433</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
+<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
+<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a>();</div>
+<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">class </span>Impl;</div>
+<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  Impl* impl_;</div>
+<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> };</div>
+<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  </div>
+<div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0"> 446</a></span> <span class="keyword">enum class</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> : int {</div>
+<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0af9f8d006118de5ad04dd7c000b8f3b91">kInconsistent</a> = 0,</div>
+<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a7db2fe13b438b1005c70fcc9ab826b3b">kEQ</a> = 1,</div>
+<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0add0f23f162dcf68bf7bc761ac13040ae">kLT</a> = 2,</div>
+<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a1893df55d7fc768f2336fdcb7c7b9c37">kLE</a> = 3,</div>
+<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0aa3d18adb9a64157d6708f8ba39dfcdbc">kGT</a> = 4,</div>
+<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0ac0275be4f85005f8ef340d3d5be8d361">kGE</a> = 5,</div>
+<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a03e3ad128c41e04acc6a0e59fdf11a58">kNE</a> = 6,</div>
+<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="namespacetvm_1_1arith.html#aca8806e355ad3dd5f1df9c1eca9aac9da8812c1a077255594d23bc1c2f3af3979">kUnknown</a> = 7</div>
+<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> };</div>
+<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  </div>
+<div class="line"><a name="l00457"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe"> 457</a></span> <span class="keyword">inline</span> constexpr <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe">operator&</a>(<a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f [...]
+<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">return</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(lhs) & <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(rhs));</div>
+<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div>
+<div class="line"><a name="l00460"></a><span class="lineno"><a class="line" href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7"> 460</a></span> <span class="keyword">inline</span> constexpr <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7">operator|</a>(<a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69 [...]
+<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(lhs) | <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(rhs));</div>
+<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div>
+<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  </div>
+<div class="line"><a name="l00470"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html"> 470</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a> {</div>
+<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="comment">/* \brief Using previously specified knowns, compare the expressions provided</span></div>
+<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="comment"> * \param lhs The left-hand side of the comparison</span></div>
+<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> <span class="comment"> * \param rhs The right-hand side of the comparison</span></div>
+<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <span class="comment"> * \param propagate_inequalities If true, attempt to find a sequence</span></div>
+<div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="comment"> * of transitive inequalities that allow the lhs and rhs to be</span></div>
+<div class="line"><a name="l00480"></a><span class="lineno"> 480</span> <span class="comment"> * compared. If false, only use the known comparison that have been</span></div>
+<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="comment"> * directly provided. Using `propagate_inequalities = false` is</span></div>
+<div class="line"><a name="l00482"></a><span class="lineno"> 482</span> <span class="comment"> * roughly equivalent to comparing against all known inequality</span></div>
+<div class="line"><a name="l00483"></a><span class="lineno"> 483</span> <span class="comment"> * expressions using `ExprDeepEqual`, but also allows for constant</span></div>
+<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="comment"> * offsets on either side of the inequality.</span></div>
+<div class="line"><a name="l00485"></a><span class="lineno"> 485</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00486"></a><span class="lineno"> 486</span> <span class="comment"> * \return The most specific result that can be proven about the</span></div>
+<div class="line"><a name="l00487"></a><span class="lineno"> 487</span> <span class="comment"> * comparison. If nothing can be proven, returns kUnknown.</span></div>
+<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="comment"> */</span></div>
+<div class="line"><a name="l00489"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ad00ac744402de84c7c3d6f2f46a6f7c7"> 489</a></span>  TVM_DLL <a class="code" href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">CompareResult</a> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ad00ac744402de84c7c3d6f2f46a6f7c7">TryCompare</a>(<span class="keyword">const</span> <a class="code" href="cl [...]
+<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordtype">bool</span> propagate_inequalities = <span class="keyword">true</span>);</div>
+<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  </div>
+<div class="line"><a name="l00498"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779"> 498</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespac [...]
+<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  </div>
+<div class="line"><a name="l00506"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a1a57e873676402922a7af5b8e1991f00"> 506</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a1a57e873676402922a7af5b8e1991f00">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespac [...]
+<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  </div>
+<div class="line"><a name="l00514"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab0c67cf201be8b57460cc155e5ff352a"> 514</a></span>  TVM_DLL std::function<void()> <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab0c67cf201be8b57460cc155e5ff352a">EnterConstraint</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& constraint);</div>
+<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  </div>
+<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00517"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a88d594816df596eed10643082b0d0805"> 517</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
+<div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab8bf22547cf1df0a28fc4ee98841ab89"> 518</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>;</div>
+<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a>();</div>
+<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a>();</div>
+<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">class </span>Impl;</div>
+<div class="line"><a name="l00523"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1ConstraintContext.html#acf0da349a64c42ae689d9459ae09f0e3"> 523</a></span>  std::unique_ptr<Impl> impl_;</div>
+<div class="line"><a name="l00524"></a><span class="lineno"> 524</span> };</div>
+<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div>
+<div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1ConstraintContext.html"> 542</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a> {</div>
+<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="comment">// declare friend to enable with.</span></div>
+<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1With.html">With</a><<a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>>;</div>
+<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="classtvm_1_1arith_1_1ConstraintContext.html">ConstraintContext</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* analyzer, <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> constraint)</div>
+<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  : analyzer_(analyzer), constraint_(constraint) {}</div>
+<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">// enter the scope.</span></div>
+<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordtype">void</span> EnterWithScope();</div>
+<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="comment">// exit the scope.</span></div>
+<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordtype">void</span> ExitWithScope();</div>
+<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* analyzer_;</div>
+<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> constraint_;</div>
+<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  std::vector<std::function<void()>> recovery_functions_;</div>
+<div class="line"><a name="l00563"></a><span class="lineno"> 563</span> };</div>
+<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  </div>
+<div class="line"><a name="l00568"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html"> 568</a></span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> {</div>
+<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00578"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ac8784f523d61adffbded801b17d4c2bf"> 578</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ac8784f523d61adffbded801b17d4c2bf">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, <span class="k [...]
+<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  </div>
+<div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#af4274caf7f5a6af64fbafc2f2465f591"> 588</a></span>  TVM_DLL <a class="code" href="classtvm_1_1arith_1_1IntSet.html">IntSet</a> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#af4274caf7f5a6af64fbafc2f2465f591">operator()</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr);</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  </div>
-<div class="line"><a name="l00600"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html"> 600</a></span> <span class="keyword">class </span>TVM_DLL <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a> {</div>
-<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">/*</span></div>
-<div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment"> * Disable copy constructor.</span></div>
-<div class="line"><a name="l00604"></a><span class="lineno"> 604</span> <span class="comment"> */</span></div>
-<div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#af33491068003d13952289cd296ba63af"> 605</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#af33491068003d13952289cd296ba63af">Analyzer</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>&) = <span class="keyword">delete</span>;</div>
-<div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a9dccc7d98b8b9465390e10436d3a9178"> 606</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>& <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a9dccc7d98b8b9465390e10436d3a9178">operator=</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>&) = <span class="keyword [...]
-<div class="line"><a name="l00608"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146"> 608</a></span>  <a class="code" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html">ConstIntBoundAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146">const_int_bound</a>;</div>
-<div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec"> 610</a></span>  <a class="code" href="classtvm_1_1arith_1_1ModularSetAnalyzer.html">ModularSetAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec">modular_set</a>;</div>
-<div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2"> 612</a></span>  <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2">rewrite_simplify</a>;</div>
-<div class="line"><a name="l00614"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00"> 614</a></span>  <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00">canonical_simplify</a>;</div>
-<div class="line"><a name="l00616"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831"> 616</a></span>  <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831">int_set</a>;</div>
-<div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72"> 618</a></span>  <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72">transitive_comparisons</a>;</div>
-<div class="line"><a name="l00620"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#ae8568eeee02c68849e468f8c19a2701d"> 620</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#ae8568eeee02c68849e468f8c19a2701d">Analyzer</a>();</div>
-<div class="line"><a name="l00636"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a98d3fc802f7de0ea645cea47aa20c66f"> 636</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a98d3fc802f7de0ea645cea47aa20c66f">MarkGlobalNonNegValue</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& value);</div>
-<div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2"> 649</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710b436cbe0b32289d0838f [...]
-<div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a20c4bae46db46362ba6bca4c1d368345"> 662</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a20c4bae46db46362ba6bca4c1d368345">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710b436cbe0b32289d0838f [...]
-<div class="line"><a name="l00671"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c"> 671</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map<Var, Range></a>& variables, <span class="keywordtype">bool</span> allow_o [...]
-<div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a5e97e3abc176f85a5b8e5d0d1cb9f5e1"> 684</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a5e97e3abc176f85a5b8e5d0d1cb9f5e1">CanProveGreaterEqual</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, int64_t lower_bound);</div>
-<div class="line"><a name="l00697"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#adb7ace66382583595724d79cc1504638"> 697</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#adb7ace66382583595724d79cc1504638">CanProveLess</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, int64_t upper_bound);</div>
-<div class="line"><a name="l00707"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a5b4350d33e93a9e6bb7f26e4c6569703"> 707</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a5b4350d33e93a9e6bb7f26e4c6569703">CanProveEqual</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& lhs, <span class="keyword">const</span> <a class="code" href="clas [...]
-<div class="line"><a name="l00724"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a4371d28a6b3306bdb4eec6c6a8317e03"> 724</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a4371d28a6b3306bdb4eec6c6a8317e03">CanProveLessEqualThanSymbolicShapeValue</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& lhs, <span class="keyword">const</span> [...]
-<div class="line"><a name="l00737"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a7d8be689aff9dab648ca21f210d6d9c2"> 737</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a7d8be689aff9dab648ca21f210d6d9c2">CanProve</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& cond, <a class="code" href="namespacetvm_1_1arith.html#a038b0205b1c66d2 [...]
-<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  </div>
-<div class="line"><a name="l00752"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425"> 752</a></span>  <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">Simplify</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, <span class="keywordtype">int</span> step [...]
-<div class="line"><a name="l00753"></a><span class="lineno"> 753</span> };</div>
-<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  </div>
-<div class="line"><a name="l00755"></a><span class="lineno"> 755</span> } <span class="comment">// namespace arith</span></div>
-<div class="line"><a name="l00756"></a><span class="lineno"> 756</span> } <span class="comment">// namespace tvm</span></div>
-<div class="line"><a name="l00757"></a><span class="lineno"> 757</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_ARITH_ANALYZER_H_</span></div>
+<div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a9a201c941931807b4b88eedc4f8c03f4"> 597</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a9a201c941931807b4b88eedc4f8c03f4">Update</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f847 [...]
+<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  </div>
+<div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d"> 606</a></span>  TVM_DLL <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710 [...]
+<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  </div>
+<div class="line"><a name="l00608"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a096433dd7bde50f73eed4854af8b6111"> 608</a></span>  std::function<void()> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a096433dd7bde50f73eed4854af8b6111">EnterConstraint</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& constraint);</div>
+<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  </div>
+<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a88d594816df596eed10643082b0d0805"> 611</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>;</div>
+<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a>(<a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>* parent);</div>
+<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  TVM_DLL ~<a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a>();</div>
+<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">class </span>Impl;</div>
+<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  Impl* impl_;</div>
+<div class="line"><a name="l00617"></a><span class="lineno"> 617</span> };</div>
+<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  </div>
+<div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html"> 629</a></span> <span class="keyword">class </span>TVM_DLL <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a> {</div>
+<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">/*</span></div>
+<div class="line"><a name="l00632"></a><span class="lineno"> 632</span> <span class="comment"> * Disable copy constructor.</span></div>
+<div class="line"><a name="l00633"></a><span class="lineno"> 633</span> <span class="comment"> */</span></div>
+<div class="line"><a name="l00634"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#af33491068003d13952289cd296ba63af"> 634</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#af33491068003d13952289cd296ba63af">Analyzer</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>&) = <span class="keyword">delete</span>;</div>
+<div class="line"><a name="l00635"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a9dccc7d98b8b9465390e10436d3a9178"> 635</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>& <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a9dccc7d98b8b9465390e10436d3a9178">operator=</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html">Analyzer</a>&) = <span class="keyword [...]
+<div class="line"><a name="l00637"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146"> 637</a></span>  <a class="code" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html">ConstIntBoundAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146">const_int_bound</a>;</div>
+<div class="line"><a name="l00639"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec"> 639</a></span>  <a class="code" href="classtvm_1_1arith_1_1ModularSetAnalyzer.html">ModularSetAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec">modular_set</a>;</div>
+<div class="line"><a name="l00641"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2"> 641</a></span>  <a class="code" href="classtvm_1_1arith_1_1RewriteSimplifier.html">RewriteSimplifier</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2">rewrite_simplify</a>;</div>
+<div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00"> 643</a></span>  <a class="code" href="classtvm_1_1arith_1_1CanonicalSimplifier.html">CanonicalSimplifier</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00">canonical_simplify</a>;</div>
+<div class="line"><a name="l00645"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831"> 645</a></span>  <a class="code" href="classtvm_1_1arith_1_1IntSetAnalyzer.html">IntSetAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831">int_set</a>;</div>
+<div class="line"><a name="l00647"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72"> 647</a></span>  <a class="code" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">TransitiveComparisonAnalyzer</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72">transitive_comparisons</a>;</div>
+<div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#ae8568eeee02c68849e468f8c19a2701d"> 649</a></span>  <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#ae8568eeee02c68849e468f8c19a2701d">Analyzer</a>();</div>
+<div class="line"><a name="l00665"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a98d3fc802f7de0ea645cea47aa20c66f"> 665</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a98d3fc802f7de0ea645cea47aa20c66f">MarkGlobalNonNegValue</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& value);</div>
+<div class="line"><a name="l00678"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2"> 678</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710b436cbe0b32289d0838f [...]
+<div class="line"><a name="l00691"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a20c4bae46db46362ba6bca4c1d368345"> 691</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a20c4bae46db46362ba6bca4c1d368345">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1tir_1_1Var.html">Var</a>& <a class="code" href="namespacetvm_1_1te.html#ae0c71f84710b436cbe0b32289d0838f [...]
+<div class="line"><a name="l00700"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c"> 700</a></span>  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c">Bind</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map<Var, Range></a>& variables, <span class="keywordtype">bool</span> allow_o [...]
+<div class="line"><a name="l00713"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a5e97e3abc176f85a5b8e5d0d1cb9f5e1"> 713</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a5e97e3abc176f85a5b8e5d0d1cb9f5e1">CanProveGreaterEqual</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, int64_t lower_bound);</div>
+<div class="line"><a name="l00726"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#adb7ace66382583595724d79cc1504638"> 726</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#adb7ace66382583595724d79cc1504638">CanProveLess</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, int64_t upper_bound);</div>
+<div class="line"><a name="l00736"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a5b4350d33e93a9e6bb7f26e4c6569703"> 736</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a5b4350d33e93a9e6bb7f26e4c6569703">CanProveEqual</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& lhs, <span class="keyword">const</span> <a class="code" href="clas [...]
+<div class="line"><a name="l00753"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a4371d28a6b3306bdb4eec6c6a8317e03"> 753</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a4371d28a6b3306bdb4eec6c6a8317e03">CanProveLessEqualThanSymbolicShapeValue</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& lhs, <span class="keyword">const</span> [...]
+<div class="line"><a name="l00766"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a7d8be689aff9dab648ca21f210d6d9c2"> 766</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a7d8be689aff9dab648ca21f210d6d9c2">CanProve</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& cond, <a class="code" href="namespacetvm_1_1arith.html#a038b0205b1c66d2 [...]
+<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  </div>
+<div class="line"><a name="l00781"></a><span class="lineno"><a class="line" href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425"> 781</a></span>  <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a> <a class="code" href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">Simplify</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1PrimExpr.html">PrimExpr</a>& expr, <span class="keywordtype">int</span> step [...]
+<div class="line"><a name="l00782"></a><span class="lineno"> 782</span> };</div>
+<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  </div>
+<div class="line"><a name="l00784"></a><span class="lineno"> 784</span> } <span class="comment">// namespace arith</span></div>
+<div class="line"><a name="l00785"></a><span class="lineno"> 785</span> } <span class="comment">// namespace tvm</span></div>
+<div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_ARITH_ANALYZER_H_</span></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1Range_html"><div class="ttname"><a href="classtvm_1_1Range.html">tvm::Range</a></div><div class="ttdoc">Range container</div><div class="ttdef"><b>Definition:</b> expr.h:724</div></div>
<div class="ttc" id="aclasstvm_1_1SEqualReducer_html"><div class="ttname"><a href="classtvm_1_1SEqualReducer.html">tvm::SEqualReducer</a></div><div class="ttdoc">A Reducer class to reduce the structural equality result of two objects.</div><div class="ttdef"><b>Definition:</b> structural_equal.h:124</div></div>
<div class="ttc" id="aclasstvm_1_1With_html"><div class="ttname"><a href="classtvm_1_1With.html">tvm::With</a></div><div class="ttdoc">RAII wrapper function to enter and exit a context object similar to python's with syntax.</div><div class="ttdef"><b>Definition:</b> with.h:58</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a0d054ea2ea5b7e99f0883c00672ec831"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831">tvm::arith::Analyzer::int_set</a></div><div class="ttdeci">IntSetAnalyzer int_set</div><div class="ttdoc">sub-analyzer: int set</div><div class="ttdef"><b>Definition:</b> analyzer.h:616</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a0d054ea2ea5b7e99f0883c00672ec831"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a0d054ea2ea5b7e99f0883c00672ec831">tvm::arith::Analyzer::int_set</a></div><div class="ttdeci">IntSetAnalyzer int_set</div><div class="ttdoc">sub-analyzer: int set</div><div class="ttdef"><b>Definition:</b> analyzer.h:645</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a1165f8727b0b51cf2ea246b93634711c"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c">tvm::arith::Analyzer::Bind</a></div><div class="ttdeci">void Bind(const Map< Var, Range > &variables, bool allow_override=false)</div><div class="ttdoc">Bind all the vars in the Map.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a20c4bae46db46362ba6bca4c1d368345"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a20c4bae46db46362ba6bca4c1d368345">tvm::arith::Analyzer::Bind</a></div><div class="ttdeci">void Bind(const Var &var, const Range &range, bool allow_override=false)</div><div class="ttdoc">Notify all the sub-analyzers that var is created and bound to a range.</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a23e266bcb0d9b5ca6cc01c691271db72"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72">tvm::arith::Analyzer::transitive_comparisons</a></div><div class="ttdeci">TransitiveComparisonAnalyzer transitive_comparisons</div><div class="ttdoc">sub-analyzer transitive comparisons</div><div class="ttdef"><b>Definition:</b> analyzer.h:618</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a435eba3ac3a839d3c53b74acfdc10146"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146">tvm::arith::Analyzer::const_int_bound</a></div><div class="ttdeci">ConstIntBoundAnalyzer const_int_bound</div><div class="ttdoc">sub-analyzer: const integer bound</div><div class="ttdef"><b>Definition:</b> analyzer.h:608</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a23e266bcb0d9b5ca6cc01c691271db72"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a23e266bcb0d9b5ca6cc01c691271db72">tvm::arith::Analyzer::transitive_comparisons</a></div><div class="ttdeci">TransitiveComparisonAnalyzer transitive_comparisons</div><div class="ttdoc">sub-analyzer transitive comparisons</div><div class="ttdef"><b>Definition:</b> analyzer.h:647</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a435eba3ac3a839d3c53b74acfdc10146"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a435eba3ac3a839d3c53b74acfdc10146">tvm::arith::Analyzer::const_int_bound</a></div><div class="ttdeci">ConstIntBoundAnalyzer const_int_bound</div><div class="ttdoc">sub-analyzer: const integer bound</div><div class="ttdef"><b>Definition:</b> analyzer.h:637</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a4371d28a6b3306bdb4eec6c6a8317e03"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a4371d28a6b3306bdb4eec6c6a8317e03">tvm::arith::Analyzer::CanProveLessEqualThanSymbolicShapeValue</a></div><div class="ttdeci">bool CanProveLessEqualThanSymbolicShapeValue(const PrimExpr &lhs, const PrimExpr &shape)</div><div class="ttdoc">Whether we can prove lhs is smaller than possibly symbolic shape.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a5b4350d33e93a9e6bb7f26e4c6569703"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a5b4350d33e93a9e6bb7f26e4c6569703">tvm::arith::Analyzer::CanProveEqual</a></div><div class="ttdeci">bool CanProveEqual(const PrimExpr &lhs, const PrimExpr &rhs)</div><div class="ttdoc">Whether can we prove lhs == rhs.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a5e97e3abc176f85a5b8e5d0d1cb9f5e1"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a5e97e3abc176f85a5b8e5d0d1cb9f5e1">tvm::arith::Analyzer::CanProveGreaterEqual</a></div><div class="ttdeci">bool CanProveGreaterEqual(const PrimExpr &expr, int64_t lower_bound)</div><div class="ttdoc">Whether can we prove expr >= val.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a675ba44dc7d70ef5606e4147919da9f2"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2">tvm::arith::Analyzer::Bind</a></div><div class="ttdeci">void Bind(const Var &var, const PrimExpr &expr, bool allow_override=false)</div><div class="ttdoc">Notify all the sub-analyzers that var is created and binded to expr.</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a6cdf29adeceaa20b8c3dd7c26b92cd00"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00">tvm::arith::Analyzer::canonical_simplify</a></div><div class="ttdeci">CanonicalSimplifier canonical_simplify</div><div class="ttdoc">sub-analyzer canonical simplify</div><div class="ttdef"><b>Definition:</b> analyzer.h:614</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a6cdf29adeceaa20b8c3dd7c26b92cd00"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a6cdf29adeceaa20b8c3dd7c26b92cd00">tvm::arith::Analyzer::canonical_simplify</a></div><div class="ttdeci">CanonicalSimplifier canonical_simplify</div><div class="ttdoc">sub-analyzer canonical simplify</div><div class="ttdef"><b>Definition:</b> analyzer.h:643</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a7d8be689aff9dab648ca21f210d6d9c2"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a7d8be689aff9dab648ca21f210d6d9c2">tvm::arith::Analyzer::CanProve</a></div><div class="ttdeci">bool CanProve(const PrimExpr &cond, ProofStrength strength=ProofStrength::kDefault)</div><div class="ttdoc">Whether can we prove condition.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a98d3fc802f7de0ea645cea47aa20c66f"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a98d3fc802f7de0ea645cea47aa20c66f">tvm::arith::Analyzer::MarkGlobalNonNegValue</a></div><div class="ttdeci">void MarkGlobalNonNegValue(const PrimExpr &value)</div><div class="ttdoc">Mark the value as non-negative value globally in analyzer.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9b440f852f12ad0a4d8ed5ed97054425"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">tvm::arith::Analyzer::Simplify</a></div><div class="ttdeci">PrimExpr Simplify(const PrimExpr &expr, int steps=2)</div><div class="ttdoc">Simplify expr.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9dccc7d98b8b9465390e10436d3a9178"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9dccc7d98b8b9465390e10436d3a9178">tvm::arith::Analyzer::operator=</a></div><div class="ttdeci">Analyzer & operator=(const Analyzer &)=delete</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_acac92a9522deabe289fea99efbd9eaec"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec">tvm::arith::Analyzer::modular_set</a></div><div class="ttdeci">ModularSetAnalyzer modular_set</div><div class="ttdoc">sub-analyzer: modular set</div><div class="ttdef"><b>Definition:</b> analyzer.h:610</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_acc86c6e8c04cb0de4ff9d78e769924b2"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2">tvm::arith::Analyzer::rewrite_simplify</a></div><div class="ttdeci">RewriteSimplifier rewrite_simplify</div><div class="ttdoc">sub-analyzer rewrite simplify</div><div class="ttdef"><b>Definition:</b> analyzer.h:612</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_acac92a9522deabe289fea99efbd9eaec"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#acac92a9522deabe289fea99efbd9eaec">tvm::arith::Analyzer::modular_set</a></div><div class="ttdeci">ModularSetAnalyzer modular_set</div><div class="ttdoc">sub-analyzer: modular set</div><div class="ttdef"><b>Definition:</b> analyzer.h:639</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_acc86c6e8c04cb0de4ff9d78e769924b2"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#acc86c6e8c04cb0de4ff9d78e769924b2">tvm::arith::Analyzer::rewrite_simplify</a></div><div class="ttdeci">RewriteSimplifier rewrite_simplify</div><div class="ttdoc">sub-analyzer rewrite simplify</div><div class="ttdef"><b>Definition:</b> analyzer.h:641</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_adb7ace66382583595724d79cc1504638"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#adb7ace66382583595724d79cc1504638">tvm::arith::Analyzer::CanProveLess</a></div><div class="ttdeci">bool CanProveLess(const PrimExpr &expr, int64_t upper_bound)</div><div class="ttdoc">Whether can we prove expr < val.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_ae8568eeee02c68849e468f8c19a2701d"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#ae8568eeee02c68849e468f8c19a2701d">tvm::arith::Analyzer::Analyzer</a></div><div class="ttdeci">Analyzer()</div><div class="ttdoc">constructor</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_af33491068003d13952289cd296ba63af"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#af33491068003d13952289cd296ba63af">tvm::arith::Analyzer::Analyzer</a></div><div class="ttdeci">Analyzer(const Analyzer &)=delete</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1CanonicalSimplifier_html"><div class="ttname"><a href="classtvm_1_1arith_1_1CanonicalSimplifier.html">tvm::arith::CanonicalSimplifier</a></div><div class="ttdoc">Canonical-form based simplifier.</div><div class="ttdef"><b>Definition:</b> analyzer.h:384</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1CanonicalSimplifier_html"><div class="ttname"><a href="classtvm_1_1arith_1_1CanonicalSimplifier.html">tvm::arith::CanonicalSimplifier</a></div><div class="ttdoc">Canonical-form based simplifier.</div><div class="ttdef"><b>Definition:</b> analyzer.h:413</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1CanonicalSimplifier_html_a2ed4ed7990499ee188e69967afb511c6"><div class="ttname"><a href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a2ed4ed7990499ee188e69967afb511c6">tvm::arith::CanonicalSimplifier::operator()</a></div><div class="ttdeci">PrimExpr operator()(const PrimExpr &expr)</div><div class="ttdoc">analyze the expr</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1CanonicalSimplifier_html_a790c032e12c7d93e9e940297b860c509"><div class="ttname"><a href="classtvm_1_1arith_1_1CanonicalSimplifier.html#a790c032e12c7d93e9e940297b860c509">tvm::arith::CanonicalSimplifier::Update</a></div><div class="ttdeci">void Update(const Var &var, const PrimExpr &new_expr, bool allow_override=false)</div><div class="ttdoc">Update binding of var to a new expression.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1ConstIntBoundAnalyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html">tvm::arith::ConstIntBoundAnalyzer</a></div><div class="ttdoc">Analyzer to get constant integer bound over expression.</div><div class="ttdef"><b>Definition:</b> analyzer.h:131</div></div>
@@ -464,8 +493,8 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1arith_1_1ConstIntBound_html_ac2368aa444fafe5f030ac2674148c5fa"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstIntBound.html#ac2368aa444fafe5f030ac2674148c5fa">tvm::arith::ConstIntBound::kNegInf</a></div><div class="ttdeci">static constexpr const int64_t kNegInf</div><div class="ttdef"><b>Definition:</b> analyzer.h:124</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1ConstIntBound_html_aefb417203cf5c5996d7ed664051aaba3"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstIntBound.html#aefb417203cf5c5996d7ed664051aaba3">tvm::arith::ConstIntBound::ConstIntBound</a></div><div class="ttdeci">ConstIntBound(int64_t min_value, int64_t max_value)</div><div class="ttdoc">constructor by fields.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1ConstIntBound_html_af2dbef4ddb3a0895bab046d18ff85ab8"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstIntBound.html#af2dbef4ddb3a0895bab046d18ff85ab8">tvm::arith::ConstIntBound::kPosInf</a></div><div class="ttdeci">static constexpr const int64_t kPosInf</div><div class="ttdef"><b>Definition:</b> analyzer.h:123</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1ConstraintContext_html"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstraintContext.html">tvm::arith::ConstraintContext</a></div><div class="ttdoc">Constraint context.</div><div class="ttdef"><b>Definition:</b> analyzer.h:513</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetAnalyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetAnalyzer.html">tvm::arith::IntSetAnalyzer</a></div><div class="ttdoc">Integer set analyzer.</div><div class="ttdef"><b>Definition:</b> analyzer.h:539</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1ConstraintContext_html"><div class="ttname"><a href="classtvm_1_1arith_1_1ConstraintContext.html">tvm::arith::ConstraintContext</a></div><div class="ttdoc">Constraint context.</div><div class="ttdef"><b>Definition:</b> analyzer.h:542</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetAnalyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetAnalyzer.html">tvm::arith::IntSetAnalyzer</a></div><div class="ttdoc">Integer set analyzer.</div><div class="ttdef"><b>Definition:</b> analyzer.h:568</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetAnalyzer_html_a096433dd7bde50f73eed4854af8b6111"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a096433dd7bde50f73eed4854af8b6111">tvm::arith::IntSetAnalyzer::EnterConstraint</a></div><div class="ttdeci">std::function< void()> EnterConstraint(const PrimExpr &constraint)</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetAnalyzer_html_a9a201c941931807b4b88eedc4f8c03f4"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetAnalyzer.html#a9a201c941931807b4b88eedc4f8c03f4">tvm::arith::IntSetAnalyzer::Update</a></div><div class="ttdeci">void Update(const Var &var, const IntSet &new_interval_set, bool allow_override=false)</div><div class="ttdoc">Update binding of var to a new expression.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetAnalyzer_html_ab0ded402c93fc89cba57015b6f3f4d8d"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d">tvm::arith::IntSetAnalyzer::Bind</a></div><div class="ttdeci">void Bind(const Var &var, const Range &new_range, bool allow_override=false)</div><div class="ttdoc">Update binding of var to a new expression.</div></div>
@@ -495,11 +524,12 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b">tvm::arith::RewriteSimplifier::kNone</a></div><div class="ttdeci">@ kNone</div><div class="ttdef"><b>Definition:</b> analyzer.h:308</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b">tvm::arith::RewriteSimplifier::kApplyConstraintsToBooleanBranches</a></div><div class="ttdeci">@ kApplyConstraintsToBooleanBranches</div><div class="ttdef"><b>Definition:</b> analyzer.h:336</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568">tvm::arith::RewriteSimplifier::kTransitivelyProveInequalities</a></div><div class="ttdeci">@ kTransitivelyProveInequalities</div><div class="ttdef"><b>Definition:</b> analyzer.h:315</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">tvm::arith::RewriteSimplifier::kComparisonOfProductAndSum</a></div><div class="ttdeci">@ kComparisonOfProductAndSum</div><div class="ttdef"><b>Definition:</b> analyzer.h:365</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">tvm::arith::RewriteSimplifier::kConvertBooleanToAndOfOrs</a></div><div class="ttdeci">@ kConvertBooleanToAndOfOrs</div><div class="ttdef"><b>Definition:</b> analyzer.h:323</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_a95dd28018de6b7aa1a5a7ee76f3ba178"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178">tvm::arith::RewriteSimplifier::SetMaximumRewriteSteps</a></div><div class="ttdeci">void SetMaximumRewriteSteps(int64_t maximum)</div><div class="ttdoc">Set the maximum allowed number of rewrite steps.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_aef5b3e9793a5b459c9f457efef179e4f"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f">tvm::arith::RewriteSimplifier::ResetStatsCounters</a></div><div class="ttdeci">void ResetStatsCounters()</div><div class="ttdoc">Reset the statistics counters.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1RewriteSimplifier_html_af91d307afc0c857751171a68d6d2b043"><div class="ttname"><a href="classtvm_1_1arith_1_1RewriteSimplifier.html#af91d307afc0c857751171a68d6d2b043">tvm::arith::RewriteSimplifier::operator()</a></div><div class="ttdeci">PrimExpr operator()(const PrimExpr &expr)</div><div class="ttdoc">analyze the expr</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1TransitiveComparisonAnalyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">tvm::arith::TransitiveComparisonAnalyzer</a></div><div class="ttdoc">Using previously specified knowns, compare the expressions provided.</div><div class="ttdef"><b>Definition:</b> analyzer.h:441</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1TransitiveComparisonAnalyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html">tvm::arith::TransitiveComparisonAnalyzer</a></div><div class="ttdoc">Using previously specified knowns, compare the expressions provided.</div><div class="ttdef"><b>Definition:</b> analyzer.h:470</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1TransitiveComparisonAnalyzer_html_a1a57e873676402922a7af5b8e1991f00"><div class="ttname"><a href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#a1a57e873676402922a7af5b8e1991f00">tvm::arith::TransitiveComparisonAnalyzer::Bind</a></div><div class="ttdeci">void Bind(const Var &var, const Range &range, bool allow_override=false)</div><div class="ttdoc">Bind a variable as being within a specified range.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1TransitiveComparisonAnalyzer_html_ab0c67cf201be8b57460cc155e5ff352a"><div class="ttname"><a href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab0c67cf201be8b57460cc155e5ff352a">tvm::arith::TransitiveComparisonAnalyzer::EnterConstraint</a></div><div class="ttdeci">std::function< void()> EnterConstraint(const PrimExpr &constraint)</div><div class="ttdoc">Update the internal state to enter constraint.</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1TransitiveComparisonAnalyzer_html_ab397bc32c73753205e70d63b71738779"><div class="ttname"><a href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779">tvm::arith::TransitiveComparisonAnalyzer::Bind</a></div><div class="ttdeci">void Bind(const Var &var, const PrimExpr &expr, bool allow_override=false)</div><div class="ttdoc">Bind a variable as being equal to a known expression.</div></div>
@@ -513,7 +543,7 @@ $(function() {
<div class="ttc" id="anamespacetvm_1_1arith_html_a038b0205b1c66d27c9dff7703e359339"><div class="ttname"><a href="namespacetvm_1_1arith.html#a038b0205b1c66d27c9dff7703e359339">tvm::arith::ProofStrength</a></div><div class="ttdeci">ProofStrength</div><div class="ttdoc">The strength used in top-level condition proves.</div><div class="ttdef"><b>Definition:</b> analyzer.h:69</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a038b0205b1c66d27c9dff7703e359339a3f67e3bf6c5ae9efc290f80011f65b80"><div class="ttname"><a href="namespacetvm_1_1arith.html#a038b0205b1c66d27c9dff7703e359339a3f67e3bf6c5ae9efc290f80011f65b80">tvm::arith::ProofStrength::kSymbolicBound</a></div><div class="ttdeci">@ kSymbolicBound</div><div class="ttdoc">Prove using symbolic bound analysis.</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a038b0205b1c66d27c9dff7703e359339a6867faeaa475fda467e48267db2bb8a8"><div class="ttname"><a href="namespacetvm_1_1arith.html#a038b0205b1c66d27c9dff7703e359339a6867faeaa475fda467e48267db2bb8a8">tvm::arith::ProofStrength::kDefault</a></div><div class="ttdeci">@ kDefault</div><div class="ttdoc">default strength, can be used in.</div></div>
-<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">tvm::arith::CompareResult</a></div><div class="ttdeci">CompareResult</div><div class="ttdoc">Structure for representing result of known.</div><div class="ttdef"><b>Definition:</b> analyzer.h:417</div></div>
+<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0">tvm::arith::CompareResult</a></div><div class="ttdeci">CompareResult</div><div class="ttdoc">Structure for representing result of known.</div><div class="ttdef"><b>Definition:</b> analyzer.h:446</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0a03e3ad128c41e04acc6a0e59fdf11a58"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a03e3ad128c41e04acc6a0e59fdf11a58">tvm::arith::CompareResult::kNE</a></div><div class="ttdeci">@ kNE</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0a1893df55d7fc768f2336fdcb7c7b9c37"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a1893df55d7fc768f2336fdcb7c7b9c37">tvm::arith::CompareResult::kLE</a></div><div class="ttdeci">@ kLE</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0a7db2fe13b438b1005c70fcc9ab826b3b"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0a7db2fe13b438b1005c70fcc9ab826b3b">tvm::arith::CompareResult::kEQ</a></div><div class="ttdeci">@ kEQ</div></div>
@@ -521,12 +551,12 @@ $(function() {
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0ac0275be4f85005f8ef340d3d5be8d361"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0ac0275be4f85005f8ef340d3d5be8d361">tvm::arith::CompareResult::kGE</a></div><div class="ttdeci">@ kGE</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0add0f23f162dcf68bf7bc761ac13040ae"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0add0f23f162dcf68bf7bc761ac13040ae">tvm::arith::CompareResult::kLT</a></div><div class="ttdeci">@ kLT</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_a1d555a0cc363f669a49fad7e5f7d69d0af9f8d006118de5ad04dd7c000b8f3b91"><div class="ttname"><a href="namespacetvm_1_1arith.html#a1d555a0cc363f669a49fad7e5f7d69d0af9f8d006118de5ad04dd7c000b8f3b91">tvm::arith::CompareResult::kInconsistent</a></div><div class="ttdeci">@ kInconsistent</div></div>
-<div class="ttc" id="anamespacetvm_1_1arith_html_a660ff1fdbb08fea19a922157cadad7a7"><div class="ttname"><a href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7">tvm::arith::operator|</a></div><div class="ttdeci">constexpr CompareResult operator|(CompareResult lhs, CompareResult rhs)</div><div class="ttdef"><b>Definition:</b> analyzer.h:431</div></div>
+<div class="ttc" id="anamespacetvm_1_1arith_html_a660ff1fdbb08fea19a922157cadad7a7"><div class="ttname"><a href="namespacetvm_1_1arith.html#a660ff1fdbb08fea19a922157cadad7a7">tvm::arith::operator|</a></div><div class="ttdeci">constexpr CompareResult operator|(CompareResult lhs, CompareResult rhs)</div><div class="ttdef"><b>Definition:</b> analyzer.h:460</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_ac6a38da661cd3681eb85abe1cd810422"><div class="ttname"><a href="namespacetvm_1_1arith.html#ac6a38da661cd3681eb85abe1cd810422">tvm::arith::DivMode</a></div><div class="ttdeci">DivMode</div><div class="ttdef"><b>Definition:</b> analyzer.h:55</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_ac6a38da661cd3681eb85abe1cd810422aa6da1e276448319d25de8fe181872432"><div class="ttname"><a href="namespacetvm_1_1arith.html#ac6a38da661cd3681eb85abe1cd810422aa6da1e276448319d25de8fe181872432">tvm::arith::kTruncDiv</a></div><div class="ttdeci">@ kTruncDiv</div><div class="ttdoc">Truncated division.</div><div class="ttdef"><b>Definition:</b> analyzer.h:57</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_ac6a38da661cd3681eb85abe1cd810422aad0250170b362173e1e2a2e3a6f13d20"><div class="ttname"><a href="namespacetvm_1_1arith.html#ac6a38da661cd3681eb85abe1cd810422aad0250170b362173e1e2a2e3a6f13d20">tvm::arith::kFloorDiv</a></div><div class="ttdeci">@ kFloorDiv</div><div class="ttdoc">Floor division.</div><div class="ttdef"><b>Definition:</b> analyzer.h:59</div></div>
<div class="ttc" id="anamespacetvm_1_1arith_html_aca8806e355ad3dd5f1df9c1eca9aac9da8812c1a077255594d23bc1c2f3af3979"><div class="ttname"><a href="namespacetvm_1_1arith.html#aca8806e355ad3dd5f1df9c1eca9aac9da8812c1a077255594d23bc1c2f3af3979">tvm::arith::kUnknown</a></div><div class="ttdeci">@ kUnknown</div><div class="ttdef"><b>Definition:</b> int_set.h:50</div></div>
-<div class="ttc" id="anamespacetvm_1_1arith_html_ae300654bf1788008de90f1e77fbaa7fe"><div class="ttname"><a href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe">tvm::arith::operator&</a></div><div class="ttdeci">constexpr CompareResult operator&(CompareResult lhs, CompareResult rhs)</div><div class="ttdef"><b>Definition:</b> analyzer.h:428</div></div>
+<div class="ttc" id="anamespacetvm_1_1arith_html_ae300654bf1788008de90f1e77fbaa7fe"><div class="ttname"><a href="namespacetvm_1_1arith.html#ae300654bf1788008de90f1e77fbaa7fe">tvm::arith::operator&</a></div><div class="ttdeci">constexpr CompareResult operator&(CompareResult lhs, CompareResult rhs)</div><div class="ttdef"><b>Definition:</b> analyzer.h:457</div></div>
<div class="ttc" id="anamespacetvm_1_1te_html_ae0c71f84710b436cbe0b32289d0838f4"><div class="ttname"><a href="namespacetvm_1_1te.html#ae0c71f84710b436cbe0b32289d0838f4">tvm::te::var</a></div><div class="ttdeci">Var var(std::string name_hint, DataType t=DataType::Int(32))</div><div class="ttdoc">Construct a new Var expression.</div></div>
<div class="ttc" id="anamespacetvm_1_1topi_html_af30c02f3a3f37c7963b3af60fb9c72a1"><div class="ttname"><a href="namespacetvm_1_1topi.html#af30c02f3a3f37c7963b3af60fb9c72a1">tvm::topi::shape</a></div><div class="ttdeci">Tensor shape(const Tensor &src, DataType dtype, const std::string name="T_shape", const std::string tag=kInjective)</div><div class="ttdoc">Get the shape of input tensor.</div><div class="ttdef"><b>Definition:</b> transform.h:1834</div></div>
<div class="ttc" id="anamespacetvm_1_1topi_html_afd64bc3e27dfc97002d3add5d7ce4174"><div class="ttname"><a href="namespacetvm_1_1topi.html#afd64bc3e27dfc97002d3add5d7ce4174">tvm::topi::maximum</a></div><div class="ttdeci">tvm::PrimExpr maximum(const tvm::PrimExpr &a, const tvm::PrimExpr &b)</div><div class="ttdef"><b>Definition:</b> broadcast.h:341</div></div>
diff --git a/docs/reference/api/doxygen/axis__group__graph_8h_source.html b/docs/reference/api/doxygen/axis__group__graph_8h_source.html
index 807e912519..a9596bd579 100644
--- a/docs/reference/api/doxygen/axis__group__graph_8h_source.html
+++ b/docs/reference/api/doxygen/axis__group__graph_8h_source.html
@@ -503,7 +503,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1RelayExprNode_html"><div class="ttname"><a href="classtvm_1_1RelayExprNode.html">tvm::RelayExprNode</a></div><div class="ttdoc">Base node of all non-primitive expressions.</div><div class="ttdef"><b>Definition:</b> expr.h:361</div></div>
<div class="ttc" id="aclasstvm_1_1StructuralEqual_html"><div class="ttname"><a href="classtvm_1_1StructuralEqual.html">tvm::StructuralEqual</a></div><div class="ttdoc">Content-aware structural equality comparator for objects.</div><div class="ttdef"><b>Definition:</b> structural_equal.h:103</div></div>
<div class="ttc" id="aclasstvm_1_1StructuralHash_html"><div class="ttname"><a href="classtvm_1_1StructuralHash.html">tvm::StructuralHash</a></div><div class="ttdoc">Content-aware structural hashing.</div><div class="ttdef"><b>Definition:</b> structural_hash.h:83</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Call_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Call.html">tvm::relax::Call</a></div><div class="ttdef"><b>Definition:</b> expr.h:188</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1ConstantNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1ConstantNode.html">tvm::relax::ConstantNode</a></div><div class="ttdoc">Constant tensor.</div><div class="ttdef"><b>Definition:</b> expr.h:549</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1VarNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1VarNode.html">tvm::relax::VarNode</a></div><div class="ttdoc">The variable class for all Relax bindings.</div><div class="ttdef"><b>Definition:</b> expr.h:459</div></div>
diff --git a/docs/reference/api/doxygen/block__builder_8h_source.html b/docs/reference/api/doxygen/block__builder_8h_source.html
index bac991cf58..64ad6bbbc2 100644
--- a/docs/reference/api/doxygen/block__builder_8h_source.html
+++ b/docs/reference/api/doxygen/block__builder_8h_source.html
@@ -176,7 +176,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1IRModule_html"><div class="ttname"><a href="classtvm_1_1IRModule.html">tvm::IRModule</a></div><div class="ttdoc">Managed reference class to IRModuleNode.</div><div class="ttdef"><b>Definition:</b> module.h:365</div></div>
<div class="ttc" id="aclasstvm_1_1NameSupply_html"><div class="ttname"><a href="classtvm_1_1NameSupply.html">tvm::NameSupply</a></div><div class="ttdoc">Managed reference class to NameSupplyNode.</div><div class="ttdef"><b>Definition:</b> name_supply.h:112</div></div>
<div class="ttc" id="aclasstvm_1_1RelayExpr_html"><div class="ttname"><a href="classtvm_1_1RelayExpr.html">tvm::RelayExpr</a></div><div class="ttdoc">Managed reference to RelayExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:441</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1BindingBlock_html"><div class="ttname"><a href="classtvm_1_1relax_1_1BindingBlock.html">tvm::relax::BindingBlock</a></div><div class="ttdef"><b>Definition:</b> expr.h:867</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Binding_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Binding.html">tvm::relax::Binding</a></div><div class="ttdef"><b>Definition:</b> expr.h:750</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1BlockBuilderNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1BlockBuilderNode.html">tvm::relax::BlockBuilderNode</a></div><div class="ttdoc">A builder to build Relax binding blocks.</div><div class="ttdef"><b>Definition:</b> block_builder.h:65</div></div>
diff --git a/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier-members.html b/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier-members.html
index 0ebafd4387..88c227ccf0 100644
--- a/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier-members.html
+++ b/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier-members.html
@@ -80,14 +80,15 @@ $(function() {
<tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a2066e6d9a5b71d482c73542d0ca8c7a3">GetEnabledExtensions</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
<tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5cbec380389ea7ccaa753d35d7a2dee9">GetStatsCounters</a>() const</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
<tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b">kApplyConstraintsToBooleanBranches</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">kConvertBooleanToAndOfOrs</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b">kNone</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568">kTransitivelyProveInequalities</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#af91d307afc0c857751171a68d6d2b043">operator()</a>(const PrimExpr &expr)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f">ResetStatsCounters</a>()</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38">SetEnabledExtensions</a>(Extension flags)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178">SetMaximumRewriteSteps</a>(int64_t maximum)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
- <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5e6752c0702dc2d3e4235797d9d3ac7b">Update</a>(const Var &var, const PrimExpr &new_expr, bool allow_override=false)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">kComparisonOfProductAndSum</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">kConvertBooleanToAndOfOrs</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b">kNone</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568">kTransitivelyProveInequalities</a> enum value</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#af91d307afc0c857751171a68d6d2b043">operator()</a>(const PrimExpr &expr)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#aef5b3e9793a5b459c9f457efef179e4f">ResetStatsCounters</a>()</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a44b7c12d6a5d9adfc4ee4cee8d935e38">SetEnabledExtensions</a>(Extension flags)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a95dd28018de6b7aa1a5a7ee76f3ba178">SetMaximumRewriteSteps</a>(int64_t maximum)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a5e6752c0702dc2d3e4235797d9d3ac7b">Update</a>(const Var &var, const PrimExpr &new_expr, bool allow_override=false)</td><td class="entry"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html">tvm::arith::RewriteSimplifier</a></td><td class="entry"></td></tr>
</table></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
diff --git a/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier.html b/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier.html
index d42e69bb95..4dd0ca5648 100644
--- a/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier.html
+++ b/docs/reference/api/doxygen/classtvm_1_1arith_1_1RewriteSimplifier.html
@@ -88,10 +88,14 @@ Collaboration diagram for tvm::arith::RewriteSimplifier:</div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
-<tr class="memitem:a6705af5099418b968ded40d79102ad4e"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> { <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b">kNone</a> = 0
+<tr class="memitem:a6705af5099418b968ded40d79102ad4e"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">Extension</a> { <br />
+  <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea237e1cb407cd81dfc9608651eee87b3b">kNone</a> = 0
, <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568">kTransitivelyProveInequalities</a> = (1 << 0)
, <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">kConvertBooleanToAndOfOrs</a> = (1 << 1)
, <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b">kApplyConstraintsToBooleanBranches</a> = (1 << 2)
+, <br />
+  <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">kComparisonOfProductAndSum</a> = (1 << 3)
+<br />
}</td></tr>
<tr class="memdesc:a6705af5099418b968ded40d79102ad4e"><td class="mdescLeft"> </td><td class="mdescRight">Flags to enable more computationally-intensive simplifications. <a href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4e">More...</a><br /></td></tr>
<tr class="separator:a6705af5099418b968ded40d79102ad4e"><td class="memSeparator" colspan="2"> </td></tr>
@@ -155,6 +159,7 @@ Friends</h2></td></tr>
<tr><td class="fieldname"><a id="a6705af5099418b968ded40d79102ad4ea775c43159049079d4a71cd788f4d1568"></a>kTransitivelyProveInequalities </td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e"></a>kConvertBooleanToAndOfOrs </td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a6705af5099418b968ded40d79102ad4ea254331b07f4bdf970d7f28f480da637b"></a>kApplyConstraintsToBooleanBranches </td><td class="fielddoc"></td></tr>
+<tr><td class="fieldname"><a id="a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23"></a>kComparisonOfProductAndSum </td><td class="fielddoc"></td></tr>
</table>
</div>
diff --git a/docs/reference/api/doxygen/constant__utils_8h_source.html b/docs/reference/api/doxygen/constant__utils_8h_source.html
index c5c353c5db..15a629a3d1 100644
--- a/docs/reference/api/doxygen/constant__utils_8h_source.html
+++ b/docs/reference/api/doxygen/constant__utils_8h_source.html
@@ -162,7 +162,7 @@ $(function() {
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_TOPI_DETAIL_CONSTANT_UTILS_H_</span></div>
<div class="ttc" id="aanalyzer_8h_html"><div class="ttname"><a href="analyzer_8h.html">analyzer.h</a></div><div class="ttdoc">Algebra expression simplifications.</div></div>
<div class="ttc" id="aclasstvm_1_1IntImmNode_html"><div class="ttname"><a href="classtvm_1_1IntImmNode.html">tvm::IntImmNode</a></div><div class="ttdoc">Constant integer literals in the program.</div><div class="ttdef"><b>Definition:</b> expr.h:500</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9b440f852f12ad0a4d8ed5ed97054425"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">tvm::arith::Analyzer::Simplify</a></div><div class="ttdeci">PrimExpr Simplify(const PrimExpr &expr, int steps=2)</div><div class="ttdoc">Simplify expr.</div></div>
<div class="ttc" id="anamespacetvm_1_1te_html"><div class="ttname"><a href="namespacetvm_1_1te.html">tvm::te</a></div><div class="ttdoc">Tensor expression language DSL.</div><div class="ttdef"><b>Definition:</b> extracted_task.h:33</div></div>
<div class="ttc" id="anamespacetvm_1_1tir_html_a5c414d5e54c099ad7287be302aac8f02"><div class="ttname"><a href="namespacetvm_1_1tir.html#a5c414d5e54c099ad7287be302aac8f02">tvm::tir::is_const_int</a></div><div class="ttdeci">bool is_const_int(const PrimExpr &x, int64_t value)</div><div class="ttdoc">Check whether x is a constant integer expression.</div><div class="ttdef"><b>Definition:</b> op.h:909</div></div>
diff --git a/docs/reference/api/doxygen/dilate_8h_source.html b/docs/reference/api/doxygen/dilate_8h_source.html
index 849373fe21..6e23dcdedd 100644
--- a/docs/reference/api/doxygen/dilate_8h_source.html
+++ b/docs/reference/api/doxygen/dilate_8h_source.html
@@ -154,7 +154,7 @@ $(function() {
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_TOPI_NN_DILATE_H_</span></div>
<div class="ttc" id="aanalyzer_8h_html"><div class="ttname"><a href="analyzer_8h.html">analyzer.h</a></div><div class="ttdoc">Algebra expression simplifications.</div></div>
<div class="ttc" id="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9b440f852f12ad0a4d8ed5ed97054425"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">tvm::arith::Analyzer::Simplify</a></div><div class="ttdeci">PrimExpr Simplify(const PrimExpr &expr, int steps=2)</div><div class="ttdoc">Simplify expr.</div></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1runtime_1_1Array_html_aa026b914ee05f81b6c20130b8905f257"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html#aa026b914ee05f81b6c20130b8905f257">tvm::runtime::Array::push_back</a></div><div class="ttdeci">void push_back(const T &item)</div><div class="ttdoc">push a new item to the back of the list</div><div class="ttdef"><b>Definition:</b> array.h:457</div></div>
diff --git a/docs/reference/api/doxygen/functions_a.html b/docs/reference/api/doxygen/functions_a.html
index 5a77795975..383ec64db1 100644
--- a/docs/reference/api/doxygen/functions_a.html
+++ b/docs/reference/api/doxygen/functions_a.html
@@ -549,7 +549,7 @@ $(function() {
, <a class="el" href="classtvm_1_1runtime_1_1Map.html#a7fbfe0e01b0fa54e151bd481956dcfec">tvm::runtime::Map< K, V, typename, typename ></a>
, <a class="el" href="classtvm_1_1runtime_1_1MapNode.html#a49edd4ddc34a4e0b097c34560b9b3b4e">tvm::runtime::MapNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1ShapeTuple.html#a07d50937020663f46ce9b1f31f066a7a">tvm::runtime::ShapeTuple</a>
-, <a class="el" href="classtvm_1_1runtime_1_1SmallMapNode.html#a0593c84ceb05afb1a3f87045a3dc3a59">tvm::runtime::SmallMapNode</a>
+, <a class="el" href="classtvm_1_1runtime_1_1SmallMapNode.html#a866679f23f724edc2d165f530f058b09">tvm::runtime::SmallMapNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1String.html#aaeda6a88310d41a22ce884fb1570b0d2">tvm::runtime::String</a>
</li>
<li>At()
diff --git a/docs/reference/api/doxygen/functions_b.html b/docs/reference/api/doxygen/functions_b.html
index 14f0ada69c..4c55e2ad2b 100644
--- a/docs/reference/api/doxygen/functions_b.html
+++ b/docs/reference/api/doxygen/functions_b.html
@@ -143,7 +143,7 @@ $(function() {
: <a class="el" href="classtvm_1_1tir_1_1BijectiveLayout.html#a39f754ef4c60c084fb1d0379fbc264c6">tvm::tir::BijectiveLayout</a>
</li>
<li>Bind()
-: <a class="el" href="classtvm_1_1arith_1_1Analyzer.html#a1165f8727b0b51cf2ea246b93634711c">tvm::arith::Analyzer</a>
+: <a class="el" href="classtvm_1_1arith_1_1Analyzer.html#a675ba44dc7d70ef5606e4147919da9f2">tvm::arith::Analyzer</a>
, <a class="el" href="classtvm_1_1arith_1_1ConstIntBoundAnalyzer.html#a7107c1d182a3ac72336d83ab50d9d1c3">tvm::arith::ConstIntBoundAnalyzer</a>
, <a class="el" href="classtvm_1_1arith_1_1IntSetAnalyzer.html#ab0ded402c93fc89cba57015b6f3f4d8d">tvm::arith::IntSetAnalyzer</a>
, <a class="el" href="classtvm_1_1arith_1_1TransitiveComparisonAnalyzer.html#ab397bc32c73753205e70d63b71738779">tvm::arith::TransitiveComparisonAnalyzer</a>
@@ -160,7 +160,7 @@ $(function() {
: <a class="el" href="classtvm_1_1te_1_1IterVarAttrNode.html#a8bd9e6a5cf8ce894eddee84a8cc98bfd">tvm::te::IterVarAttrNode</a>
</li>
<li>Binding()
-: <a class="el" href="classtvm_1_1relax_1_1Binding.html#a8a448109aa28aa0d0e808e23e257faf0">tvm::relax::Binding</a>
+: <a class="el" href="classtvm_1_1relax_1_1Binding.html#ad6a9b51ffd20046cf054cfb55d1bbb4f">tvm::relax::Binding</a>
</li>
<li>binding_blocks
: <a class="el" href="classtvm_1_1script_1_1ir__builder_1_1relax_1_1SeqExprFrameNode.html#a92e27feba769f8ad2f08cdd32a58d861">tvm::script::ir_builder::relax::SeqExprFrameNode</a>
diff --git a/docs/reference/api/doxygen/functions_c.html b/docs/reference/api/doxygen/functions_c.html
index 86e1ab2897..f6b2187619 100644
--- a/docs/reference/api/doxygen/functions_c.html
+++ b/docs/reference/api/doxygen/functions_c.html
@@ -97,7 +97,7 @@ $(function() {
: <a class="el" href="classtvm_1_1auto__scheduler_1_1CacheWriteStep.html#ad2c24762f35f7f9ebe85d7c03cba1c8e">tvm::auto_scheduler::CacheWriteStep</a>
</li>
<li>CalcCapacityImpl()
-: <a class="el" href="classtvm_1_1runtime_1_1Array.html#a9c7976c159330719285dbc5f0de07bd9">tvm::runtime::Array< T, typename ></a>
+: <a class="el" href="classtvm_1_1runtime_1_1Array.html#ad8746b19be1b83fe867869a597e6d479">tvm::runtime::Array< T, typename ></a>
</li>
<li>Call()
: <a class="el" href="classtvm_1_1relax_1_1Call.html#ad290bc43f966baed02ef4e1fa11ca4ea">tvm::relax::Call</a>
diff --git a/docs/reference/api/doxygen/functions_e.html b/docs/reference/api/doxygen/functions_e.html
index 4fe0e26c7b..30f6e721ee 100644
--- a/docs/reference/api/doxygen/functions_e.html
+++ b/docs/reference/api/doxygen/functions_e.html
@@ -109,7 +109,7 @@ $(function() {
, <a class="el" href="classtvm_1_1relax_1_1BlockBuilderNode.html#aecf7b4a03d847d33d6b5c8ed1f869aec">tvm::relax::BlockBuilderNode</a>
</li>
<li>EmitCall()
-: <a class="el" href="classtvm_1_1relax_1_1ExecBuilderNode.html#a3d3315cbf54d5ffe9f5b9424db928681">tvm::relax::ExecBuilderNode</a>
+: <a class="el" href="classtvm_1_1relax_1_1ExecBuilderNode.html#a8e16ffb417b0033ef3d63fee11cdc5ad">tvm::relax::ExecBuilderNode</a>
</li>
<li>EmitFatal()
: <a class="el" href="classtvm_1_1DiagnosticContext.html#a3668f9c5770d93f92bc1ad3b7b449ee4">tvm::DiagnosticContext</a>
diff --git a/docs/reference/api/doxygen/functions_eval.html b/docs/reference/api/doxygen/functions_eval.html
index 7bd20fa336..fc6465f4da 100644
--- a/docs/reference/api/doxygen/functions_eval.html
+++ b/docs/reference/api/doxygen/functions_eval.html
@@ -73,6 +73,9 @@ $(function() {
<li>kBig
: <a class="el" href="classtvm_1_1runtime_1_1threading_1_1ThreadGroup.html#a5230a4c2d7f6c2f73f3d5fb00e9f6acda5dcdee58295aad729c0ef90cd4d807bf">tvm::runtime::threading::ThreadGroup</a>
</li>
+<li>kComparisonOfProductAndSum
+: <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">tvm::arith::RewriteSimplifier</a>
+</li>
<li>kConvertBooleanToAndOfOrs
: <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">tvm::arith::RewriteSimplifier</a>
</li>
diff --git a/docs/reference/api/doxygen/functions_f.html b/docs/reference/api/doxygen/functions_f.html
index c1510cc7f0..76bda54af0 100644
--- a/docs/reference/api/doxygen/functions_f.html
+++ b/docs/reference/api/doxygen/functions_f.html
@@ -758,7 +758,7 @@ $(function() {
: <a class="el" href="classtvm_1_1te_1_1Fuse.html#a10b77eec10eb7dbc536b0c8d65163f9c">tvm::te::Fuse</a>
</li>
<li>fuse()
-: <a class="el" href="classtvm_1_1te_1_1Stage.html#a5658065d9cbbee620bbd107d30c4ae72">tvm::te::Stage</a>
+: <a class="el" href="classtvm_1_1te_1_1Stage.html#a07b721494aa3c0c79e8a8654c433708f">tvm::te::Stage</a>
</li>
<li>Fuse()
: <a class="el" href="classtvm_1_1tir_1_1ScheduleNode.html#a5b9a41d190be0f8d817b4936732bd0ef">tvm::tir::ScheduleNode</a>
diff --git a/docs/reference/api/doxygen/functions_func_a.html b/docs/reference/api/doxygen/functions_func_a.html
index 9494736064..0be5dd9c56 100644
--- a/docs/reference/api/doxygen/functions_func_a.html
+++ b/docs/reference/api/doxygen/functions_func_a.html
@@ -377,7 +377,7 @@ $(function() {
: <a class="el" href="classtvm_1_1runtime_1_1ArrayNode.html#a410953f5ac23f6ca5caa257def8b08bd">tvm::runtime::ArrayNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1DenseMapNode.html#a773d2e9099e34ab3bcf3b1870d0aee28">tvm::runtime::DenseMapNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1Map.html#a7fbfe0e01b0fa54e151bd481956dcfec">tvm::runtime::Map< K, V, typename, typename ></a>
-, <a class="el" href="classtvm_1_1runtime_1_1MapNode.html#a49edd4ddc34a4e0b097c34560b9b3b4e">tvm::runtime::MapNode</a>
+, <a class="el" href="classtvm_1_1runtime_1_1MapNode.html#a29503ec61af7a5bb9b030a00cfdff01a">tvm::runtime::MapNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1ShapeTuple.html#a07d50937020663f46ce9b1f31f066a7a">tvm::runtime::ShapeTuple</a>
, <a class="el" href="classtvm_1_1runtime_1_1SmallMapNode.html#a0593c84ceb05afb1a3f87045a3dc3a59">tvm::runtime::SmallMapNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1String.html#aaeda6a88310d41a22ce884fb1570b0d2">tvm::runtime::String</a>
@@ -402,7 +402,7 @@ $(function() {
: <a class="el" href="classtvm_1_1AttributeAccessPathNode.html#a8f1bf5db4a1495e454b196856fd5cf21">tvm::AttributeAccessPathNode</a>
</li>
<li>AttrInitEntry()
-: <a class="el" href="structtvm_1_1detail_1_1AttrInitEntry.html#ad68ac350b0d49e97caab8443cc8fb08b">tvm::detail::AttrInitEntry< T ></a>
+: <a class="el" href="structtvm_1_1detail_1_1AttrInitEntry.html#af07c4a3a8f4663ac03ae238ab7b9d791">tvm::detail::AttrInitEntry< T ></a>
</li>
<li>AttrInitVisitor()
: <a class="el" href="classtvm_1_1detail_1_1AttrInitVisitor.html#ac3c800c9249fee195db2a5fa473fe960">tvm::detail::AttrInitVisitor< FFind ></a>
diff --git a/docs/reference/api/doxygen/functions_func_g.html b/docs/reference/api/doxygen/functions_func_g.html
index 98f1e2cc4b..49d0ddf941 100644
--- a/docs/reference/api/doxygen/functions_func_g.html
+++ b/docs/reference/api/doxygen/functions_func_g.html
@@ -120,7 +120,7 @@ $(function() {
, <a class="el" href="classtvm_1_1TargetKind.html#a11c894b5e17dd940287648261d5efc0d">tvm::TargetKind</a>
, <a class="el" href="classtvm_1_1TargetTag.html#af90a7c152674c7dfe96f6e5aac2f9b25">tvm::TargetTag</a>
, <a class="el" href="classtvm_1_1tir_1_1InstructionKind.html#a6d165507be268ad41aa5221d48062da7">tvm::tir::InstructionKind</a>
-, <a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html#a273d3cfc07193e551292450bc2b0e56f">tvm::tir::LayoutAxis</a>
+, <a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html#a4b5df87bf9971c025f4c3399a369fd99">tvm::tir::LayoutAxis</a>
, <a class="el" href="classtvm_1_1tir_1_1ScheduleNode.html#aec0dd6e11e5c3cd85766a5a5ad9acd41">tvm::tir::ScheduleNode</a>
</li>
<li>get()
diff --git a/docs/reference/api/doxygen/functions_func_n.html b/docs/reference/api/doxygen/functions_func_n.html
index 459dfc01f5..eee33d0745 100644
--- a/docs/reference/api/doxygen/functions_func_n.html
+++ b/docs/reference/api/doxygen/functions_func_n.html
@@ -86,7 +86,7 @@ $(function() {
: <a class="el" href="classtvm_1_1relax_1_1BlockBuilderNode.html#a0d90afaaadeab9dedac9a61311c910f5">tvm::relax::BlockBuilderNode</a>
</li>
<li>NameSupply()
-: <a class="el" href="classtvm_1_1NameSupply.html#ad6c6c3d3a4698ee50ab2fd2062566820">tvm::NameSupply</a>
+: <a class="el" href="classtvm_1_1NameSupply.html#a4ad1b3236ebe88ea083148702549fdc6">tvm::NameSupply</a>
</li>
<li>NameSupplyNode()
: <a class="el" href="classtvm_1_1NameSupplyNode.html#aba5bb3284648f9f8740eb76500499a12">tvm::NameSupplyNode</a>
diff --git a/docs/reference/api/doxygen/functions_func_s.html b/docs/reference/api/doxygen/functions_func_s.html
index 5d5ff576b7..78df0a94f5 100644
--- a/docs/reference/api/doxygen/functions_func_s.html
+++ b/docs/reference/api/doxygen/functions_func_s.html
@@ -798,7 +798,7 @@ $(function() {
</li>
<li>Span()
: <a class="el" href="classtvm_1_1Span.html#a5216631b639e8c802263d87d3fe9e5f6">tvm::Span</a>
-, <a class="el" href="classtvm_1_1support_1_1Span.html#a77653730a2542edf93b7c4413a72f3ec">tvm::support::Span< T, W ></a>
+, <a class="el" href="classtvm_1_1support_1_1Span.html#a3c22dd06856e7029e7107adf38eb72f5">tvm::support::Span< T, W ></a>
</li>
<li>SpecializedCondition()
: <a class="el" href="classtvm_1_1te_1_1SpecializedCondition.html#a48d119ee1c6033929a5592cfc2592e60">tvm::te::SpecializedCondition</a>
@@ -820,7 +820,7 @@ $(function() {
: <a class="el" href="classtvm_1_1te_1_1Stage.html#a51432f38d9ec4792a2525023179ae604">tvm::te::Stage</a>
</li>
<li>SplitStep()
-: <a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStep.html#a64ed86582a56a2645b3e4eb44ecb31af">tvm::auto_scheduler::SplitStep</a>
+: <a class="el" href="classtvm_1_1auto__scheduler_1_1SplitStep.html#a184575a8029d77f7a3bee23d81141df5">tvm::auto_scheduler::SplitStep</a>
</li>
<li>StableHashBytes()
: <a class="el" href="classtvm_1_1runtime_1_1String.html#a88aa19338db83ae838183e7478f09e60">tvm::runtime::String</a>
@@ -891,7 +891,7 @@ $(function() {
: <a class="el" href="classtvm_1_1tir_1_1ScheduleNode.html#a93d1d23f24d903db844f75f51fe09a36">tvm::tir::ScheduleNode</a>
</li>
<li>StorageAlignStep()
-: <a class="el" href="classtvm_1_1auto__scheduler_1_1StorageAlignStep.html#a99dbb8c55d9e7d78268b6d43fd348bc7">tvm::auto_scheduler::StorageAlignStep</a>
+: <a class="el" href="classtvm_1_1auto__scheduler_1_1StorageAlignStep.html#af50b7c2f020f8e0a80f5bcc8e559b394">tvm::auto_scheduler::StorageAlignStep</a>
</li>
<li>Str()
: <a class="el" href="classtvm_1_1script_1_1printer_1_1LiteralDoc.html#a8423a0ede5a29b24f6db5d9f6574a200">tvm::script::printer::LiteralDoc</a>
diff --git a/docs/reference/api/doxygen/functions_g.html b/docs/reference/api/doxygen/functions_g.html
index 93dfce72ee..09f0bbde50 100644
--- a/docs/reference/api/doxygen/functions_g.html
+++ b/docs/reference/api/doxygen/functions_g.html
@@ -123,7 +123,7 @@ $(function() {
, <a class="el" href="classtvm_1_1TargetKind.html#a11c894b5e17dd940287648261d5efc0d">tvm::TargetKind</a>
, <a class="el" href="classtvm_1_1TargetTag.html#af90a7c152674c7dfe96f6e5aac2f9b25">tvm::TargetTag</a>
, <a class="el" href="classtvm_1_1tir_1_1InstructionKind.html#a6d165507be268ad41aa5221d48062da7">tvm::tir::InstructionKind</a>
-, <a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html#a8980b8d6362947fe93a890e1a97028d4">tvm::tir::LayoutAxis</a>
+, <a class="el" href="classtvm_1_1tir_1_1LayoutAxis.html#a273d3cfc07193e551292450bc2b0e56f">tvm::tir::LayoutAxis</a>
, <a class="el" href="classtvm_1_1tir_1_1ScheduleNode.html#a1d34e09f35c6ca2f179165a041037c4c">tvm::tir::ScheduleNode</a>
</li>
<li>get()
diff --git a/docs/reference/api/doxygen/functions_k.html b/docs/reference/api/doxygen/functions_k.html
index 373fdd1f21..f12e9be603 100644
--- a/docs/reference/api/doxygen/functions_k.html
+++ b/docs/reference/api/doxygen/functions_k.html
@@ -87,6 +87,9 @@ $(function() {
<li>kBig
: <a class="el" href="classtvm_1_1runtime_1_1threading_1_1ThreadGroup.html#a5230a4c2d7f6c2f73f3d5fb00e9f6acda5dcdee58295aad729c0ef90cd4d807bf">tvm::runtime::threading::ThreadGroup</a>
</li>
+<li>kComparisonOfProductAndSum
+: <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eaf2a72591e015241f111c915110ad0b23">tvm::arith::RewriteSimplifier</a>
+</li>
<li>kConvertBooleanToAndOfOrs
: <a class="el" href="classtvm_1_1arith_1_1RewriteSimplifier.html#a6705af5099418b968ded40d79102ad4eafd77a96599dad627a7c1d88292aa578e">tvm::arith::RewriteSimplifier</a>
</li>
@@ -185,13 +188,13 @@ $(function() {
, <a class="el" href="classtvm_1_1runtime_1_1metadata_1_1MetadataArrayNode.html#a695a21a69be1e72b330abe32c685552e">tvm::runtime::metadata::MetadataArrayNode</a>
, <a class="el" href="classtvm_1_1runtime_1_1relax__vm_1_1Instruction_1_1Arg.html#a16f1ed70c4a48f85d377d17f9f5c0780">tvm::runtime::relax_vm::Instruction::Arg</a>
, <a class="el" href="structtvm_1_1runtime_1_1relax__vm_1_1VMFuncInfo.html#a20095c297b45a5dfc0e1a4bac5dbb45d">tvm::runtime::relax_vm::VMFuncInfo</a>
+, <a class="el" href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a9b996402fa4a7202d749c56ac044e810">tvm::script::printer::OperationDocNode</a>
</li>
<li>Kind
: <a class="el" href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#ab096bbea749ee994d75230cd8136afc2">tvm::script::printer::OperationDocNode</a>
</li>
<li>kind
-: <a class="el" href="classtvm_1_1script_1_1printer_1_1OperationDocNode.html#a9b996402fa4a7202d749c56ac044e810">tvm::script::printer::OperationDocNode</a>
-, <a class="el" href="classtvm_1_1TargetNode.html#ac19a4ee0f0ec7ea607ec746bc4551b71">tvm::TargetNode</a>
+: <a class="el" href="classtvm_1_1TargetNode.html#ac19a4ee0f0ec7ea607ec746bc4551b71">tvm::TargetNode</a>
, <a class="el" href="classtvm_1_1tir_1_1DependencyNode.html#aeb900845b1ca3fb8787ab183af8389b7">tvm::tir::DependencyNode</a>
, <a class="el" href="classtvm_1_1tir_1_1ForNode.html#a4fe09a4b1fb71a8ae8d5e7c807d8540b">tvm::tir::ForNode</a>
, <a class="el" href="classtvm_1_1tir_1_1InstructionNode.html#a85c4921fdf1ebae5c95e5c4f09467355">tvm::tir::InstructionNode</a>
diff --git a/docs/reference/api/doxygen/functions_l.html b/docs/reference/api/doxygen/functions_l.html
index 28e078e45f..ff64eb448b 100644
--- a/docs/reference/api/doxygen/functions_l.html
+++ b/docs/reference/api/doxygen/functions_l.html
@@ -136,7 +136,7 @@ $(function() {
, <a class="el" href="structtvm_1_1relay_1_1UpSamplingAttrs.html#aa7186c5dcdc4dc32d6ba5a4086ddde4a">tvm::relay::UpSamplingAttrs</a>
</li>
<li>Layout()
-: <a class="el" href="classtvm_1_1tir_1_1Layout.html#ace4d6c608f7148bb2c6aefe33b4e4ab5">tvm::tir::Layout</a>
+: <a class="el" href="classtvm_1_1tir_1_1Layout.html#acd20f31024c5a15e8109c64109582028">tvm::tir::Layout</a>
</li>
<li>layout_free_placeholders_key
: <a class="el" href="classtvm_1_1auto__scheduler_1_1ComputeDAG.html#a173f178286d543c71feb0f8a06d0cb7b">tvm::auto_scheduler::ComputeDAG</a>
diff --git a/docs/reference/api/doxygen/functions_o.html b/docs/reference/api/doxygen/functions_o.html
index 5a5771c982..777e992627 100644
--- a/docs/reference/api/doxygen/functions_o.html
+++ b/docs/reference/api/doxygen/functions_o.html
@@ -102,7 +102,7 @@ $(function() {
</li>
<li>ObjectPtr
: <a class="el" href="classtvm_1_1runtime_1_1Object.html#a4193bb155125953e77ded93c0fb46965">tvm::runtime::Object</a>
-, <a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html#a4e8fc75dab845ba616f4d4dc31c5164f">tvm::runtime::ObjectPtr< T ></a>
+, <a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html#a29eed1f62407d1ea7b28725ea620f0e4">tvm::runtime::ObjectPtr< T ></a>
</li>
<li>ObjectPtrHash
: <a class="el" href="classtvm_1_1runtime_1_1ObjectPtr.html#ab1db3e3b77985946e4379d31829030a5">tvm::runtime::ObjectPtr< T ></a>
diff --git a/docs/reference/api/doxygen/functions_p.html b/docs/reference/api/doxygen/functions_p.html
index a572a96f8e..ad45e9a796 100644
--- a/docs/reference/api/doxygen/functions_p.html
+++ b/docs/reference/api/doxygen/functions_p.html
@@ -206,7 +206,7 @@ $(function() {
: <a class="el" href="classtvm_1_1transform_1_1SequentialNode.html#ae78f131a5e8a1d3143ff4671c45af2ac">tvm::transform::SequentialNode</a>
</li>
<li>PassContext()
-: <a class="el" href="classtvm_1_1transform_1_1PassContext.html#a906dadb55586afece28d71d3436fdf1d">tvm::transform::PassContext</a>
+: <a class="el" href="classtvm_1_1transform_1_1PassContext.html#a8f5f511c2e29991eceff7b1f4883313e">tvm::transform::PassContext</a>
</li>
<li>PassContextNode()
: <a class="el" href="classtvm_1_1transform_1_1PassContextNode.html#aa91df8069b6573e72305ab57e9bc620f">tvm::transform::PassContextNode</a>
@@ -252,7 +252,7 @@ $(function() {
, <a class="el" href="classtvm_1_1relay_1_1DFPatternCallbackNode.html#acfe3e9170d4c05ff59f3056b79ae58bb">tvm::relay::DFPatternCallbackNode</a>
</li>
<li>Pattern()
-: <a class="el" href="classtvm_1_1relay_1_1Pattern.html#ad2eae0030bb557fbee1b85517cd9c31e">tvm::relay::Pattern</a>
+: <a class="el" href="classtvm_1_1relay_1_1Pattern.html#aba2fe5ab04ab0b56ff855cfc572b16ff">tvm::relay::Pattern</a>
</li>
<li>pattern
: <a class="el" href="classtvm_1_1relay_1_1ShapePatternNode.html#a77130ba4e4b1b051415a08a6c0148d30">tvm::relay::ShapePatternNode</a>
diff --git a/docs/reference/api/doxygen/functions_t.html b/docs/reference/api/doxygen/functions_t.html
index f1488b6946..1729e4cd0e 100644
--- a/docs/reference/api/doxygen/functions_t.html
+++ b/docs/reference/api/doxygen/functions_t.html
@@ -84,7 +84,7 @@ $(function() {
, <a class="el" href="structtvm_1_1runtime_1_1vm_1_1Instruction.html#a46879dbe84105fb621a6167f8d73b223">tvm::runtime::vm::Instruction</a>
</li>
<li>Target()
-: <a class="el" href="classtvm_1_1Target.html#a58a5a1e042e265fe5a6973045226fe1a">tvm::Target</a>
+: <a class="el" href="classtvm_1_1Target.html#a1abb29217d8e394f0b88e28178c70bb0">tvm::Target</a>
</li>
<li>target
: <a class="el" href="classtvm_1_1VDeviceNode.html#a05a30c026e6448638a34092b3b85d11f">tvm::VDeviceNode</a>
@@ -472,7 +472,7 @@ $(function() {
, <a class="el" href="classtvm_1_1relax_1_1TuningRecord.html#a7fe22e531ee4ba8a9e1fa9aa942a1a66">tvm::relax::TuningRecord</a>
</li>
<li>Tuple()
-: <a class="el" href="classtvm_1_1relax_1_1Tuple.html#a2c03408fed22eec943eaa92254cef0bf">tvm::relax::Tuple</a>
+: <a class="el" href="classtvm_1_1relax_1_1Tuple.html#a8cbc5fe40be3b410ca71b6f89c2c2b3f">tvm::relax::Tuple</a>
</li>
<li>tuple
: <a class="el" href="classtvm_1_1relax_1_1TupleGetItemNode.html#adbcebfaec8bf19152dd8cbb31952b667">tvm::relax::TupleGetItemNode</a>
diff --git a/docs/reference/api/doxygen/index__map_8h_source.html b/docs/reference/api/doxygen/index__map_8h_source.html
index 38617c19b3..d5e4cc4ac6 100644
--- a/docs/reference/api/doxygen/index__map_8h_source.html
+++ b/docs/reference/api/doxygen/index__map_8h_source.html
@@ -187,7 +187,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1SEqualReducer_html"><div class="ttname"><a href="classtvm_1_1SEqualReducer.html">tvm::SEqualReducer</a></div><div class="ttdoc">A Reducer class to reduce the structural equality result of two objects.</div><div class="ttdef"><b>Definition:</b> structural_equal.h:124</div></div>
<div class="ttc" id="aclasstvm_1_1SHashReducer_html"><div class="ttname"><a href="classtvm_1_1SHashReducer.html">tvm::SHashReducer</a></div><div class="ttdoc">A Reducer class to reduce the structural hash value.</div><div class="ttdef"><b>Definition:</b> structural_hash.h:110</div></div>
<div class="ttc" id="aclasstvm_1_1SHashReducer_html_a74260485bd50d1bfa52ded457a6a7777"><div class="ttname"><a href="classtvm_1_1SHashReducer.html#a74260485bd50d1bfa52ded457a6a7777">tvm::SHashReducer::DefHash</a></div><div class="ttdeci">void DefHash(const ObjectRef &key) const</div><div class="ttdoc">Push hash of key to the current sequence of hash values.</div><div class="ttdef"><b>Definition:</b> structural_hash.h:187</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1runtime_1_1NDArray_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1NDArray.html">tvm::runtime::NDArray</a></div><div class="ttdoc">Managed NDArray. The array is backed by reference counted blocks.</div><div class="ttdef"><b>Definition:</b> ndarray.h:51</div></div>
<div class="ttc" id="aclasstvm_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:519</div></div>
diff --git a/docs/reference/api/doxygen/int__set_8h_source.html b/docs/reference/api/doxygen/int__set_8h_source.html
index 8cc3e5dbd7..1687f8f64f 100644
--- a/docs/reference/api/doxygen/int__set_8h_source.html
+++ b/docs/reference/api/doxygen/int__set_8h_source.html
@@ -200,7 +200,7 @@ $(function() {
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_ARITH_INT_SET_H_</span></div>
<div class="ttc" id="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1Range_html"><div class="ttname"><a href="classtvm_1_1Range.html">tvm::Range</a></div><div class="ttdoc">Range container</div><div class="ttdef"><b>Definition:</b> expr.h:724</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetNode_html"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetNode.html">tvm::arith::IntSetNode</a></div><div class="ttdoc">Base class of all Integer set containers. represent a set of integers in one dimension.</div><div class="ttdef"><b>Definition:</b> int_set.h:57</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetNode_html_a689b913992364a60b3da1bc54ef13170"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetNode.html#a689b913992364a60b3da1bc54ef13170">tvm::arith::IntSetNode::TVM_DECLARE_BASE_OBJECT_INFO</a></div><div class="ttdeci">TVM_DECLARE_BASE_OBJECT_INFO(IntSetNode, Object)</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSetNode_html_ab7cf9086177bae550fac2a09c8f9b397"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSetNode.html#ab7cf9086177bae550fac2a09c8f9b397">tvm::arith::IntSetNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> int_set.h:59</div></div>
diff --git a/docs/reference/api/doxygen/iter__affine__map_8h_source.html b/docs/reference/api/doxygen/iter__affine__map_8h_source.html
index 658169bcd2..7846c5c57e 100644
--- a/docs/reference/api/doxygen/iter__affine__map_8h_source.html
+++ b/docs/reference/api/doxygen/iter__affine__map_8h_source.html
@@ -295,7 +295,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1SEqualReducer_html"><div class="ttname"><a href="classtvm_1_1SEqualReducer.html">tvm::SEqualReducer</a></div><div class="ttdoc">A Reducer class to reduce the structural equality result of two objects.</div><div class="ttdef"><b>Definition:</b> structural_equal.h:124</div></div>
<div class="ttc" id="aclasstvm_1_1SHashReducer_1_1Handler_html_a8f9a489881fc55552f13a58313a863cf"><div class="ttname"><a href="classtvm_1_1SHashReducer_1_1Handler.html#a8f9a489881fc55552f13a58313a863cf">tvm::SHashReducer::Handler::MarkGraphNode</a></div><div class="ttdeci">virtual void MarkGraphNode()=0</div><div class="ttdoc">Mark current comparison as graph node in hashing. Graph node hash will depends on the graph structure...</div></div>
<div class="ttc" id="aclasstvm_1_1SHashReducer_html"><div class="ttname"><a href="classtvm_1_1SHashReducer.html">tvm::SHashReducer</a></div><div class="ttdoc">A Reducer class to reduce the structural hash value.</div><div class="ttdef"><b>Definition:</b> structural_hash.h:110</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IterMapExprNode_html"><div class="ttname"><a href="classtvm_1_1arith_1_1IterMapExprNode.html">tvm::arith::IterMapExprNode</a></div><div class="ttdoc">Base class of all iter map expressions.</div><div class="ttdef"><b>Definition:</b> iter_affine_map.h:66</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IterMapExprNode_html_a3acb5f8da15c333d417702a0175c33f8"><div class="ttname"><a href="classtvm_1_1arith_1_1IterMapExprNode.html#a3acb5f8da15c333d417702a0175c33f8">tvm::arith::IterMapExprNode::TVM_DECLARE_BASE_OBJECT_INFO</a></div><div class="ttdeci">TVM_DECLARE_BASE_OBJECT_INFO(IterMapExprNode, PrimExprNode)</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IterMapExprNode_html_ab0bc4612fbea270047def221dd599e5c"><div class="ttname"><a href="classtvm_1_1arith_1_1IterMapExprNode.html#ab0bc4612fbea270047def221dd599e5c">tvm::arith::IterMapExprNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> iter_affine_map.h:71</div></div>
diff --git a/docs/reference/api/doxygen/nn_2bnn_8h_source.html b/docs/reference/api/doxygen/nn_2bnn_8h_source.html
index e92f4b9ed9..385f0c454b 100644
--- a/docs/reference/api/doxygen/nn_2bnn_8h_source.html
+++ b/docs/reference/api/doxygen/nn_2bnn_8h_source.html
@@ -174,7 +174,7 @@ $(function() {
<div class="ttc" id="aanalyzer_8h_html"><div class="ttname"><a href="analyzer_8h.html">analyzer.h</a></div><div class="ttdoc">Algebra expression simplifications.</div></div>
<div class="ttc" id="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1Range_html"><div class="ttname"><a href="classtvm_1_1Range.html">tvm::Range</a></div><div class="ttdoc">Range container</div><div class="ttdef"><b>Definition:</b> expr.h:724</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9b440f852f12ad0a4d8ed5ed97054425"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">tvm::arith::Analyzer::Simplify</a></div><div class="ttdeci">PrimExpr Simplify(const PrimExpr &expr, int steps=2)</div><div class="ttdoc">Simplify expr.</div></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1runtime_1_1Array_html_aa026b914ee05f81b6c20130b8905f257"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html#aa026b914ee05f81b6c20130b8905f257">tvm::runtime::Array::push_back</a></div><div class="ttdeci">void push_back(const T &item)</div><div class="ttdoc">push a new item to the back of the list</div><div class="ttdef"><b>Definition:</b> array.h:457</div></div>
diff --git a/docs/reference/api/doxygen/nn_2pooling_8h_source.html b/docs/reference/api/doxygen/nn_2pooling_8h_source.html
index 3654709870..4da7092638 100644
--- a/docs/reference/api/doxygen/nn_2pooling_8h_source.html
+++ b/docs/reference/api/doxygen/nn_2pooling_8h_source.html
@@ -631,7 +631,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1PrimExpr_html_a18a8a0fef87b74b18fc254f49465cc56"><div class="ttname"><a href="classtvm_1_1PrimExpr.html#a18a8a0fef87b74b18fc254f49465cc56">tvm::PrimExpr::dtype</a></div><div class="ttdeci">DataType dtype() const</div><div class="ttdef"><b>Definition:</b> expr.h:128</div></div>
<div class="ttc" id="aclasstvm_1_1Range_html"><div class="ttname"><a href="classtvm_1_1Range.html">tvm::Range</a></div><div class="ttdoc">Range container</div><div class="ttdef"><b>Definition:</b> expr.h:724</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html_a9b440f852f12ad0a4d8ed5ed97054425"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html#a9b440f852f12ad0a4d8ed5ed97054425">tvm::arith::Analyzer::Simplify</a></div><div class="ttdeci">PrimExpr Simplify(const PrimExpr &expr, int steps=2)</div><div class="ttdoc">Simplify expr.</div></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1runtime_1_1Array_html_a6b097149e69ea03fe3b812a3f5f7fcd9"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html#a6b097149e69ea03fe3b812a3f5f7fcd9">tvm::runtime::Array::end</a></div><div class="ttdeci">iterator end() const</div><div class="ttdef"><b>Definition:</b> array.h:390</div></div>
diff --git a/docs/reference/api/doxygen/operation_8h_source.html b/docs/reference/api/doxygen/operation_8h_source.html
index 47364f5f59..64e1ba861a 100644
--- a/docs/reference/api/doxygen/operation_8h_source.html
+++ b/docs/reference/api/doxygen/operation_8h_source.html
@@ -498,7 +498,7 @@ $(function() {
<div class="ttc" id="aclasstvm_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="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1Range_html"><div class="ttname"><a href="classtvm_1_1Range.html">tvm::Range</a></div><div class="ttdoc">Range container</div><div class="ttdef"><b>Definition:</b> expr.h:724</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1arith_1_1IntSet_html"><div class="ttname"><a href="classtvm_1_1arith_1_1IntSet.html">tvm::arith::IntSet</a></div><div class="ttdoc">Managed reference to IntSetNode.</div><div class="ttdef"><b>Definition:</b> int_set.h:68</div></div>
<div class="ttc" id="aclasstvm_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="aclasstvm_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:43</div></div>
diff --git a/docs/reference/api/doxygen/relax_2analysis_8h_source.html b/docs/reference/api/doxygen/relax_2analysis_8h_source.html
index eddcae45b4..e6184827f0 100644
--- a/docs/reference/api/doxygen/relax_2analysis_8h_source.html
+++ b/docs/reference/api/doxygen/relax_2analysis_8h_source.html
@@ -244,7 +244,7 @@ $(function() {
<div class="ttc" id="aclasstvm_1_1PrimExpr_html"><div class="ttname"><a href="classtvm_1_1PrimExpr.html">tvm::PrimExpr</a></div><div class="ttdoc">Reference to PrimExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:114</div></div>
<div class="ttc" id="aclasstvm_1_1RelayExpr_html"><div class="ttname"><a href="classtvm_1_1RelayExpr.html">tvm::RelayExpr</a></div><div class="ttdoc">Managed reference to RelayExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:441</div></div>
<div class="ttc" id="aclasstvm_1_1Type_html"><div class="ttname"><a href="classtvm_1_1Type.html">tvm::Type</a></div><div class="ttdoc">Managed reference to TypeNode.</div><div class="ttdef"><b>Definition:</b> type.h:93</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1BlockBuilder_html"><div class="ttname"><a href="classtvm_1_1relax_1_1BlockBuilder.html">tvm::relax::BlockBuilder</a></div><div class="ttdef"><b>Definition:</b> block_builder.h:233</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Call_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Call.html">tvm::relax::Call</a></div><div class="ttdef"><b>Definition:</b> expr.h:188</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1DataflowBlock_html"><div class="ttname"><a href="classtvm_1_1relax_1_1DataflowBlock.html">tvm::relax::DataflowBlock</a></div><div class="ttdef"><b>Definition:</b> expr.h:889</div></div>
diff --git a/docs/reference/api/doxygen/relax_2utils_8h_source.html b/docs/reference/api/doxygen/relax_2utils_8h_source.html
index e1e15a0de2..ae67f89d88 100644
--- a/docs/reference/api/doxygen/relax_2utils_8h_source.html
+++ b/docs/reference/api/doxygen/relax_2utils_8h_source.html
@@ -124,7 +124,7 @@ $(function() {
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_RELAX_UTILS_H_</span></div>
<div class="ttc" id="aanalyzer_8h_html"><div class="ttname"><a href="analyzer_8h.html">analyzer.h</a></div><div class="ttdoc">Algebra expression simplifications.</div></div>
<div class="ttc" id="aclasstvm_1_1RelayExpr_html"><div class="ttname"><a href="classtvm_1_1RelayExpr.html">tvm::RelayExpr</a></div><div class="ttdoc">Managed reference to RelayExprNode.</div><div class="ttdef"><b>Definition:</b> expr.h:441</div></div>
-<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:600</div></div>
+<div class="ttc" id="aclasstvm_1_1arith_1_1Analyzer_html"><div class="ttname"><a href="classtvm_1_1arith_1_1Analyzer.html">tvm::arith::Analyzer</a></div><div class="ttdoc">Analyzer that contains bunch of sub-analyzers.</div><div class="ttdef"><b>Definition:</b> analyzer.h:629</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Binding_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Binding.html">tvm::relax::Binding</a></div><div class="ttdef"><b>Definition:</b> expr.h:750</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Call_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Call.html">tvm::relax::Call</a></div><div class="ttdef"><b>Definition:</b> expr.h:188</div></div>
<div class="ttc" id="aclasstvm_1_1relax_1_1Function_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Function.html">tvm::relax::Function</a></div><div class="ttdef"><b>Definition:</b> expr.h:983</div></div>
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