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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/02/07 00:35:54 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@6a2459f185d09e33abfbe67ad4b2512610f2868b)

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 5268c36cbe deploying docs (apache/tvm@6a2459f185d09e33abfbe67ad4b2512610f2868b)
5268c36cbe is described below

commit 5268c36cbe23be9e295f48e890810a357e40b8f4
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Wed Feb 7 00:35:49 2024 +0000

    deploying docs (apache/tvm@6a2459f185d09e33abfbe67ad4b2512610f2868b)
---
 .../how_to/compile_models/from_darknet.rst.txt     |   2 +-
 .../how_to/compile_models/from_mxnet.rst.txt       |   2 +-
 .../how_to/compile_models/from_oneflow.rst.txt     |   2 +-
 .../how_to/compile_models/from_pytorch.rst.txt     |   2 +-
 .../how_to/compile_models/from_tensorflow.rst.txt  |   2 +-
 .../compile_models/sg_execution_times.rst.txt      |  22 +-
 .../deploy_models/deploy_model_on_adreno.rst.txt   |   4 +-
 .../deploy_model_on_adreno_tvmc.rst.txt            |   2 +-
 .../deploy_models/deploy_model_on_android.rst.txt  |   2 +-
 .../deploy_object_detection_pytorch.rst.txt        |   4 +-
 .../deploy_models/deploy_prequantized.rst.txt      |   6 +-
 .../deploy_prequantized_tflite.rst.txt             |   2 +-
 .../how_to/deploy_models/deploy_quantized.rst.txt  |   2 +-
 .../deploy_models/sg_execution_times.rst.txt       |  20 +-
 .../extend_tvm/bring_your_own_datatypes.rst.txt    |   2 +-
 .../how_to/extend_tvm/sg_execution_times.rst.txt   |   8 +-
 .../how_to/extend_tvm/use_pass_instrument.rst.txt  |  16 +-
 .../optimize_operators/opt_conv_cuda.rst.txt       |   2 +-
 .../optimize_operators/opt_conv_tensorcore.rst.txt |   2 +-
 .../how_to/optimize_operators/opt_gemm.rst.txt     |  16 +-
 .../optimize_operators/sg_execution_times.rst.txt  |   8 +-
 .../sg_execution_times.rst.txt                     |  14 +-
 .../tune_network_cuda.rst.txt                      |   4 +-
 .../tune_network_x86.rst.txt                       |   4 +-
 .../tune_with_autotvm/sg_execution_times.rst.txt   |  10 +-
 .../tune_with_autotvm/tune_conv2d_cuda.rst.txt     |   2 +-
 .../work_with_microtvm/micro_autotune.rst.txt      |  18 +-
 .../work_with_microtvm/micro_pytorch.rst.txt       |   4 +-
 .../how_to/work_with_microtvm/micro_train.rst.txt  |  16 +-
 .../work_with_microtvm/sg_execution_times.rst.txt  |  14 +-
 .../work_with_relay/sg_execution_times.rst.txt     |   8 +-
 .../how_to/work_with_schedules/intrin_math.rst.txt |   2 +-
 .../work_with_schedules/sg_execution_times.rst.txt |  12 +-
 .../tutorials/autotvm/sg_execution_times.rst.txt   |   4 +-
 .../frontend/deploy_classification.rst.txt         |   2 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   2 +-
 .../tutorials/frontend/sg_execution_times.rst.txt  |   6 +-
 .../tutorials/optimize/sg_execution_times.rst.txt  |   6 +-
 .../topic/vta/tutorials/sg_execution_times.rst.txt |   6 +-
 .../tutorial/auto_scheduler_matmul_x86.rst.txt     |  11 +-
 docs/_sources/tutorial/autotvm_matmul_x86.rst.txt  |  20 +-
 docs/_sources/tutorial/autotvm_relay_x86.rst.txt   |  57 ++--
 .../tutorial/cross_compilation_and_rpc.rst.txt     |   2 +-
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  18 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  42 +--
 docs/commit_hash                                   |   2 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_mxnet.html         |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  15 +-
 docs/how_to/compile_models/from_pytorch.html       |  12 +-
 docs/how_to/compile_models/from_tensorflow.html    |   2 +-
 docs/how_to/compile_models/sg_execution_times.html |  22 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  23 +-
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  61 ++---
 docs/how_to/deploy_models/deploy_prequantized.html |   9 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/deploy_quantized.html    |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  20 +-
 .../extend_tvm/bring_your_own_datatypes.html       |   2 +-
 docs/how_to/extend_tvm/sg_execution_times.html     |   8 +-
 docs/how_to/extend_tvm/use_pass_instrument.html    |  16 +-
 docs/how_to/optimize_operators/opt_conv_cuda.html  |   2 +-
 .../optimize_operators/opt_conv_tensorcore.html    |   2 +-
 docs/how_to/optimize_operators/opt_gemm.html       |  16 +-
 .../optimize_operators/sg_execution_times.html     |   8 +-
 .../sg_execution_times.html                        |  14 +-
 .../tune_with_autoscheduler/tune_network_cuda.html |   4 +-
 .../tune_with_autoscheduler/tune_network_x86.html  |   4 +-
 .../tune_with_autotvm/sg_execution_times.html      |  10 +-
 .../how_to/tune_with_autotvm/tune_conv2d_cuda.html |   2 +-
 docs/how_to/work_with_microtvm/micro_autotune.html |  18 +-
 docs/how_to/work_with_microtvm/micro_pytorch.html  |   6 +-
 docs/how_to/work_with_microtvm/micro_train.html    |  16 +-
 .../work_with_microtvm/sg_execution_times.html     |  14 +-
 .../how_to/work_with_relay/sg_execution_times.html |   8 +-
 docs/how_to/work_with_schedules/intrin_math.html   |   2 +-
 .../work_with_schedules/sg_execution_times.html    |  12 +-
 .../namespacetvm_1_1relax_1_1transform.html        |  22 +-
 .../reference/api/doxygen/relax_2transform_8h.html |   2 +-
 .../api/doxygen/relax_2transform_8h_source.html    | 296 ++++++++++-----------
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |   8 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 104 ++++----
 docs/reference/api/typedoc/classes/Module.html     |  12 +-
 docs/reference/api/typedoc/classes/NDArray.html    |  30 +--
 docs/reference/api/typedoc/classes/RPCServer.html  |  16 +-
 docs/reference/api/typedoc/classes/Scalar.html     |   8 +-
 docs/reference/api/typedoc/classes/TVMArray.html   |  16 +-
 docs/reference/api/typedoc/classes/TVMObject.html  |  12 +-
 .../api/typedoc/classes/VirtualMachine.html        |  10 +-
 .../classes/_internal_.CachedCallStack.html        |  36 +--
 .../classes/_internal_.CanvasRenderManager.html    |  10 +-
 .../typedoc/classes/_internal_.Environment.html    |  14 +-
 .../api/typedoc/classes/_internal_.FFILibrary.html |  22 +-
 .../api/typedoc/classes/_internal_.Memory.html     |  36 +--
 .../typedoc/classes/_internal_.PackedFuncCell.html |   8 +-
 .../typedoc/classes/_internal_.RuntimeContext.html |  54 ++--
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +-
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/detectGPUDevice.html     |   2 +-
 .../api/typedoc/functions/hasNDArrayInCache.html   |   2 +-
 .../api/typedoc/functions/instantiate.html         |   2 +-
 docs/reference/api/typedoc/functions/wasmPath.html |   2 +-
 .../api/typedoc/interfaces/Disposable.html         |   4 +-
 .../typedoc/interfaces/GPUDeviceDetectOutput.html  |   8 +-
 .../api/typedoc/interfaces/InitProgressReport.html |  10 +-
 .../api/typedoc/interfaces/LibraryProvider.html    |   6 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.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/autotvm/sg_execution_times.html  |   4 +-
 .../tutorials/frontend/deploy_classification.html  |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   2 +-
 .../vta/tutorials/frontend/sg_execution_times.html |   6 +-
 .../vta/tutorials/optimize/sg_execution_times.html |   6 +-
 docs/topic/vta/tutorials/sg_execution_times.html   |   6 +-
 docs/tutorial/auto_scheduler_matmul_x86.html       |   7 +-
 docs/tutorial/autotvm_matmul_x86.html              |  20 +-
 docs/tutorial/autotvm_relay_x86.html               | 262 +++++++++---------
 docs/tutorial/cross_compilation_and_rpc.html       |   2 +-
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  18 +-
 docs/tutorial/tensor_expr_get_started.html         |  42 +--
 140 files changed, 1021 insertions(+), 1008 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 18d4284add..f7f5b59381 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  29.018 seconds)
+   **Total running time of the script:** ( 1 minutes  26.906 seconds)
 
 
 .. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
index 67cc6e4a66..03ba74887d 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -116,7 +116,7 @@ In this section, we download a pretrained imagenet model and classify an image.
 
  .. code-block:: none
 
-    Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipca0e531b-4fde-4406-85af-8019f3fedf5f from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+    Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipda498906-fc40-4541-9237-9aaf4a2e31c1 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
     x (1, 3, 224, 224)
 
 
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index f431d85e72..0683465cb4 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]      19%|#9        | 7.99M/41.5M [00:00<00:01, 32.4MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:00, 39.1MB/s]      44%|####4     | 18.3M/41.5M [00:00<00:00, 37.6MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 37.5MB/s]      66%|######5   | 27.3M/41.5M [00:00<00:00, 41.8MB/s]      81%|########1 | 33.6M/41.5M [00:00<00:00, 48.9MB/s]      93%|#########2| 38.5M/41.5M [00:01<00:00, 34.2MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 37.9MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 64.2MB/s]      30%|###       | 12.5M/41.5M [00:00<00:00, 54.7MB/s]      43%|####2     | 17.8M/41.5M [00:00<00:00, 39.9MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 36.7MB/s]      77%|#######7  | 32.0M/41.5M [00:00<00:00, 47.5MB/s]      92%|#########2| 38.3M/41.5M [00:00<00:00, 50.2MB/s]     100%|##########| 41.5M/41.5M [00:00<00:00, 45.5MB/s]
 
 
 
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 7aa3f9811a..4e97e38ad8 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]      18%|#7        | 7.99M/44.7M [00:00<00:00, 45.1MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 44.6MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 51.3MB/s]      72%|#######1  | 32.0M/44.7M [00:00<00:00, 59.5MB/s]      90%|########9 | 40.0M/44.7M [00:00<00:00, 61.4MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 61.1MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      18%|#7        | 7.99M/44.7M [00:00<00:00, 49.4MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 64.7MB/s]      55%|#####4    | 24.4M/44.7M [00:00<00:00, 74.1MB/s]      71%|#######1  | 31.9M/44.7M [00:00<00:00, 63.2MB/s]      90%|########9 | 40.0M/44.7M [00:00<00:00, 54.4MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 51.2MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index 59cc0666bc..6467d6d3e3 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  25.928 seconds)
+   **Total running time of the script:** ( 1 minutes  25.821 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 1bbd9d27e2..f895cc56cc 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,26 +5,26 @@
 
 Computation times
 =================
-**06:48.232** total execution time for **how_to_compile_models** files:
+**06:45.843** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:29.018 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:26.906 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:25.928 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:25.821 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:57.955 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:57.915 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:40.521 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:40.443 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:35.517 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:35.801 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``)           | 00:32.634 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``)           | 00:32.642 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:27.034 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:27.073 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.541 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.537 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:11.374 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:10.979 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.709 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.725 | 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 c27ae8e87d..84f6197895 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)  
-     3991.6639    3989.8288    4005.6129    3988.9358      4.7853                  
+     3990.5257    3991.3653    3994.4083    3985.5099      2.9796                  
 
 
 
@@ -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  16.117 seconds)
+   **Total running time of the script:** ( 1 minutes  16.079 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 2b9f90b490..50f24b7e6c 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       6635520/102967424 [>.............................] - ETA: 1s       8380416/102967424 [=>............................] - ETA: 1s      16769024/102967424 [===>..........................] - ETA: 1s      25157632/102967424 [======>.......................] - ETA: 1s      33546240/102967424 [========>.....................] - ETA: 1s      40189952/102967424 [==========>...................] - ETA: 0s      41934848/102967424 [===========>..................] - ETA: 1s
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  ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      86671360/102967424 [========================>.....] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s      98910208/102967424 [===========================>..] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424
  [==============================] - 2s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       8380416/102967424 [=>............................] - ETA: 1s      15024128/102967424 [===>..........................] - ETA: 1s      16769024/102967424 [===>..........................] - ETA: 2s      22102016/102967424 [=====>........................] - ETA: 1s      23412736/102967424 [=====>........................] - ETA: 1s      26206208/102967424 [======>.......................] - ETA: 1s      33546240/102967424 [========>.....................] - ETA: 1s
       41934848/102967424 [===========>..................] - ETA: 1s      48578560/102967424 [=============>................] - ETA: 0s      50323456/102967424 [=============>................] - ETA: 1s      58712064/102967424 [================>.............] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      73744384/102967424 [====================>.........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      82124800/102967424 [======================>.......] -
  ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     100794368/102967424 [============================>.] - 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 26fa22abe7..dbbbb4907b 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      14.3470      14.2405      14.9508      13.9177       0.3702                  
+      14.0373      14.0566      14.1889      13.8782       0.1140                  
 
 
 
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 c1a2bb7cab..2cbd705c86 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]       5%|4         | 7.99M/170M [00:00<00:04, 42.3MB/s]       8%|8         | 14.3M/170M [00:00<00:03, 48.1MB/s]      11%|#1        | 19.0M/170M [00:00<00:04, 38.5MB/s]      14%|#4        | 24.0M/170M [00:00<00:04, 33.5MB/s]      19%|#8        | 32.0M/170M [00:00<00:03, 40.3MB/s]      24%|##3       | 40.0M/170M [00:00<00:03, 44.5MB/s]      27%|##7       | 46.3M/170M [00:01<00:02, 44.1MB/s]      30%|##9       | 50.6M/170M [00:01<00:03, 40.7MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 41.6MB/s]      37%|###6      | 62.3M/170M [00:01<00:03, 32.9MB/s]      39%|###8      | 65.7M/170M [00:01<00:03, 31.0MB/s]      42%|####2     | 72.0M/170M [00:01<00:02, 34.7MB/s]      46%|####6     | 78.3M/170M [00:02<00:02, 38.4MB/s]      48%|####8     | 82.1M/170M [00:02<00:02, 36.0MB/s]      52%|#####1    | 87.7M/170M [00:02<00:02, 38.7MB/s]      54%|#####3    | 91.5M/170M [00:02<00:02, 35.0MB/s]      57%|#####6    | 96.0M/170M [00:02<00:02, 32.7MB/
 s]      61%|######1   | 104M/170M [00:02<00:01, 39.4MB/s]       66%|######5   | 112M/170M [00:03<00:01, 44.0MB/s]      71%|#######   | 120M/170M [00:03<00:01, 47.9MB/s]      75%|#######5  | 128M/170M [00:03<00:00, 52.0MB/s]      79%|#######9  | 134M/170M [00:03<00:00, 51.6MB/s]      82%|########1 | 139M/170M [00:03<00:00, 50.4MB/s]      85%|########4 | 144M/170M [00:03<00:00, 50.0MB/s]      89%|########9 | 152M/170M [00:03<00:00, 37.7MB/s]      93%|#########3| 158M/170M [00:04<00:00, 40.8MB/s]      96%|#########5| 163M/170M [00:04<00:00, 37.7MB/s]      99%|#########8| 168M/170M [00:04<00:00, 39.8MB/s]     100%|##########| 170M/170M [00:04<00:00, 40.7MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       4%|3         | 6.30M/170M [00:00<00:04, 40.8MB/s]       6%|6         | 10.2M/170M [00:00<00:05, 30.7MB/s]       8%|8         | 14.3M/170M [00:00<00:05, 30.0MB/s]      10%|#         | 17.2M/170M [00:00<00:05, 27.4MB/s]      14%|#4        | 24.0M/170M [00:00<00:04, 30.9MB/s]      19%|#8        | 32.0M/170M [00:01<00:04, 32.6MB/s]      24%|##3       | 40.0M/170M [00:01<00:03, 41.8MB/s]      28%|##8       | 48.0M/170M [00:01<00:02, 48.0MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 53.8MB/s]      38%|###7      | 64.0M/170M [00:01<00:02, 54.8MB/s]      42%|####2     | 72.0M/170M [00:01<00:01, 57.3MB/s]      46%|####6     | 78.3M/170M [00:01<00:02, 47.7MB/s]      49%|####8     | 83.2M/170M [00:02<00:01, 46.2MB/s]      52%|#####1    | 87.8M/170M [00:02<00:01, 44.9MB/s]      54%|#####4    | 92.2M/170M [00:02<00:01, 42.7MB/s]      57%|#####6    | 96.3M/170M [00:02<00:01, 40.7MB/s]      61%|######1   | 104M/170M [00:02<00:01, 44.4MB/s
 ]       66%|######5   | 112M/170M [00:02<00:01, 46.3MB/s]      71%|#######   | 120M/170M [00:02<00:01, 46.7MB/s]      74%|#######4  | 126M/170M [00:03<00:01, 44.5MB/s]      77%|#######6  | 131M/170M [00:03<00:01, 41.0MB/s]      79%|#######9  | 134M/170M [00:03<00:00, 38.0MB/s]      81%|########1 | 138M/170M [00:03<00:00, 37.1MB/s]      85%|########4 | 144M/170M [00:03<00:00, 36.2MB/s]      88%|########8 | 150M/170M [00:03<00:00, 39.1MB/s]      91%|######### | 154M/170M [00:03<00:00, 36.4MB/s]      94%|#########4| 160M/170M [00:04<00:00, 33.4MB/s]      96%|#########6| 163M/170M [00:04<00:00, 32.9MB/s]      99%|#########8| 168M/170M [00:04<00:00, 35.3MB/s]     100%|##########| 170M/170M [00:04<00:00, 40.4MB/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  18.327 seconds)
+   **Total running time of the script:** ( 3 minutes  18.058 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 01f32ccdf9..e464d80cbf 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, 42.4MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 59.9MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      47%|####6     | 6.30M/13.6M [00:00<00:00, 54.0MB/s]      85%|########4 | 11.5M/13.6M [00:00<00:00, 45.4MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 30.3MB/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)  
-      85.8565      85.8181      86.5225      85.5201       0.1851                  
+      85.8499      85.7669      90.2811      85.4211       0.5409                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  23.467 seconds)
+   **Total running time of the script:** ( 1 minutes  23.870 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 66ffe29129..97d7696546 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)  
-      105.3708     105.0166     107.6633     103.9523      1.0550                  
+      103.0370     102.7011     108.8385     101.6848      1.1458                  
 
 
 
diff --git a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
index d2991fca88..fe64745527 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -257,7 +257,7 @@ We create a Relay VM to build and execute the model.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  48.710 seconds)
+   **Total running time of the script:** ( 1 minutes  52.663 seconds)
 
 
 .. _sphx_glr_download_how_to_deploy_models_deploy_quantized.py:
diff --git a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
index 2c4d6f697a..e06e93dc1d 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,26 +5,26 @@
 
 Computation times
 =================
-**11:05.630** total execution time for **how_to_deploy_models** files:
+**11:09.525** 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``) | 03:18.327 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:18.058 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``)                               | 01:48.710 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``)                               | 01:52.663 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:23.467 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:23.870 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:16.117 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:16.079 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:48.784 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:48.669 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:48.134 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:48.139 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:44.537 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:44.453 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:28.875 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:28.879 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.673 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.709 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.006 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
index 0a1704aab7..901cbe54ca 100644
--- a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
@@ -463,7 +463,7 @@ First let us define two helper functions to get the mobilenet model and a cat im
 
  .. code-block:: none
 
-    Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipeeacc767-dc7c-42c4-9ec1-5a2ce7f3f0d7 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+    Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip401afa28-c8c8-4544-866f-2847f2c40fac from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
 
 
 
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index 482cb215c1..d18bce596b 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**00:54.870** total execution time for **how_to_extend_tvm** files:
+**00:54.966** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:51.105 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:51.206 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)           | 00:02.639 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)           | 00:02.622 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)                     | 00:01.119 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)                     | 00:01.131 | 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 dad01c3585..b072d1864a 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: 24014us [24014us] (48.71%; 48.71%)
-    FoldScaleAxis: 25281us [6us] (51.29%; 51.29%)
-            FoldConstant: 25275us [1735us] (51.27%; 99.97%)
-                    InferType: 23540us [23540us] (47.75%; 93.14%)
+    InferType: 24393us [24393us] (48.66%; 48.66%)
+    FoldScaleAxis: 25734us [7us] (51.34%; 51.34%)
+            FoldConstant: 25727us [1732us] (51.32%; 99.97%)
+                    InferType: 23995us [23995us] (47.87%; 93.27%)
 
 
 
@@ -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: 23284us [23284us] (48.57%; 48.57%)
-    FoldScaleAxis: 24655us [5us] (51.43%; 51.43%)
-            FoldConstant: 24650us [1722us] (51.42%; 99.98%)
-                    InferType: 22928us [22928us] (47.83%; 93.02%)
+    InferType: 24358us [24358us] (49.27%; 49.27%)
+    FoldScaleAxis: 25084us [5us] (50.73%; 50.73%)
+            FoldConstant: 25079us [1662us] (50.72%; 99.98%)
+                    InferType: 23417us [23417us] (47.36%; 93.37%)
 
 
 
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 1ada8492fe..bf11a98421 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: 40.212448 ms
+    Convolution: 52.177440 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 2c0c466ef4..d288a026fb 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: 12.278522 ms
+    conv2d with tensor core: 11.082339 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 f70a4920ce..e77221cfd6 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: 0.013749
-    Baseline: 3.344586
+    Numpy running time: 0.013446
+    Baseline: 3.343652
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.274582
+    Opt1: 0.292726
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.258142
+    Opt2: 0.261771
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.112236
+    Opt3: 0.108694
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.106811
+    Opt4: 0.102877
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.095438
+    Opt5: 0.093915
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.112650
+    Opt6: 0.111267
 
 
 
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 d1e14bbe45..dbb49b2fd4 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
 =================
-**00:31.324** total execution time for **how_to_optimize_operators** files:
+**00:31.349** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:28.381 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:28.392 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.805 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.792 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.139 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.165 | 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 a351c634aa..9a4837a136 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
 =================
-**03:24.975** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:25.379** 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``)             | 01:28.429 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:28.810 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:09.537 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:09.320 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:16.950 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:16.862 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:15.519 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:15.606 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.444 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.683 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.097 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.098 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
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 750a6c35c7..2d260922b3 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -647,7 +647,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       3.2307       3.2318       3.2370       3.2234       0.0056                  
+       3.2352       3.2417       3.2419       3.2219       0.0094                  
 
 
 
@@ -674,7 +674,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  9.537 seconds)
+   **Total running time of the script:** ( 1 minutes  9.320 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 1a6407fc25..99052a127b 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -666,7 +666,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      697.7315     697.6850     698.0533     697.4563      0.2459                  
+      697.1748     697.1711     698.1338     696.2196      0.7815                  
 
 
 
@@ -693,7 +693,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  28.429 seconds)
+   **Total running time of the script:** ( 1 minutes  28.810 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 01d4fefad4..c956dbc7ba 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
 =================
-**00:22.489** total execution time for **how_to_tune_with_autotvm** files:
+**00:22.552** 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``)           | 00:22.453 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:22.513 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.020 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.024 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)             | 00:00.006 | 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 657342df1e..05f62012ae 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: 0.037352
+    Time cost of this operator: 0.037327
 
 
 
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 5523b6bf4f..66816bc766 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  293.8     98.72    (1, 2, 10, 10, 3)  2       1        [293.8]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.879     0.967    (1, 6, 10, 10)     1       1        [2.879]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.931     0.313    (1, 1, 10, 10, 3)  1       1        [0.931]           
-    Total_time                                    -                                             297.61    -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  295.0     98.727   (1, 2, 10, 10, 3)  2       1        [295.0]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.868     0.96     (1, 6, 10, 10)     1       1        [2.868]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.937     0.314    (1, 1, 10, 10, 3)  1       1        [0.937]           
+    Total_time                                    -                                             298.805   -        -                  -       -        -                 
 
 
 
@@ -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  100.7     97.524   (1, 6, 10, 10, 1)  2       1        [100.7]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.738     1.683    (1, 6, 10, 10)     1       1        [1.738]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.819     0.793    (1, 3, 10, 10, 1)  1       1        [0.819]           
-    Total_time                                    -                                             103.257   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.25    97.537   (1, 6, 10, 10, 1)  2       1        [100.25]          
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.717     1.671    (1, 6, 10, 10)     1       1        [1.717]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.814     0.792    (1, 3, 10, 10, 1)  1       1        [0.814]           
+    Total_time                                    -                                             102.782   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  20.199 seconds)
+   **Total running time of the script:** ( 1 minutes  19.890 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 17f6063133..c96974b429 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, 11.2MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 17.7MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]      61%|######    | 2.09M/3.42M [00:00<00:00, 19.2MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 30.4MB/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  24.100 seconds)
+   **Total running time of the script:** ( 1 minutes  24.658 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 ac721d57a7..e2ad115257 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/tmprstsnazr/images/random'
+    '/tmp/tmpz_evsirq/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmprstsnazr/images/target contains 8144 images
-    /tmp/tmprstsnazr/images/random contains 5000 images
+    /tmp/tmpz_evsirq/images/target contains 8144 images
+    /tmp/tmpz_evsirq/images/random contains 5000 images
 
 
 
@@ -493,13 +493,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 37s - loss: 0.2296 - accuracy: 0.9228 - val_loss: 0.1097 - val_accuracy: 0.9596 - 37s/epoch - 114ms/step
+    328/328 - 39s - loss: 0.2144 - accuracy: 0.9275 - val_loss: 0.1085 - val_accuracy: 0.9619 - 39s/epoch - 117ms/step
     Epoch 2/3
-    328/328 - 34s - loss: 0.1025 - accuracy: 0.9628 - val_loss: 0.1087 - val_accuracy: 0.9603 - 34s/epoch - 104ms/step
+    328/328 - 34s - loss: 0.0996 - accuracy: 0.9637 - val_loss: 0.1078 - val_accuracy: 0.9645 - 34s/epoch - 104ms/step
     Epoch 3/3
-    328/328 - 34s - loss: 0.0659 - accuracy: 0.9741 - val_loss: 0.0958 - val_accuracy: 0.9675 - 34s/epoch - 104ms/step
+    328/328 - 34s - loss: 0.0679 - accuracy: 0.9755 - val_loss: 0.0922 - val_accuracy: 0.9679 - 34s/epoch - 104ms/step
 
-    <keras.callbacks.History object at 0x7f97e8657580>
+    <keras.callbacks.History object at 0x7f80c8759a00>
 
 
 
@@ -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  35.028 seconds)
+   **Total running time of the script:** ( 4 minutes  26.554 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 9b776529e4..c53db5a576 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
 =================
-**07:45.915** total execution time for **how_to_work_with_microtvm** files:
+**07:37.918** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:35.028 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:26.554 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:24.100 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:24.658 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:20.199 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:19.890 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.261 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.306 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.358 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.457 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:06.969 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:07.053 | 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 8ecfd76b2d..ed2fec8774 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
 =================
-**00:36.295** total execution time for **how_to_work_with_relay** files:
+**00:36.239** total execution time for **how_to_work_with_relay** files:
 
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:31.545 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:31.560 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:02.948 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:02.946 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.797 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.728 | 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 c5d3328d2f..515e8be757 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 0x7f99be26ce50>
+    <function my_cuda_math_rule at 0x7f80d43c51f0>
 
 
 
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 a13f1fbcfd..b90a1d093b 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
@@ -5,18 +5,18 @@
 
 Computation times
 =================
-**00:05.007** total execution time for **how_to_work_with_schedules** files:
+**00:05.082** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.391 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.393 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:00.996 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.063 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.680 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.684 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.670 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.668 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.109 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.114 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.067 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
index 81b9dc493c..525fe60410 100644
--- a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
 
 Computation times
 =================
-**00:33.602** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:33.505** total execution time for **topic_vta_tutorials_autotvm** files:
 
 +---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:33.594 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:33.498 | 0.0 MB |
 +---------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``)     | 00:00.007 | 0.0 MB |
 +---------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
index d0cc575887..b606a387c5 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -293,7 +293,7 @@ The compilation steps are:
       warnings.warn(
     /workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the  new recommended usage.
       graph, lib, params = relay.build(
-    resnet18_v1 inference graph built in 35.41s!
+    resnet18_v1 inference graph built in 35.50s!
 
 
 
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 b81ae9d159..37ebcc7f56 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 24.22s!
+    yolov3-tiny inference graph built in 24.33s!
 
 
 
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 572672968a..861d1d26ef 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
 
 Computation times
 =================
-**01:52.106** total execution time for **topic_vta_tutorials_frontend** files:
+**01:52.008** total execution time for **topic_vta_tutorials_frontend** files:
 
 +------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)           | 00:56.579 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``)           | 00:56.424 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:55.527 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:55.583 | 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 8e3a294a48..75da8d826b 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
 =================
-**00:03.143** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.141** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.676 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.686 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.466 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.455 | 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 95106eab6b..7a0ecd1436 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
 =================
-**00:00.776** total execution time for **topic_vta_tutorials** files:
+**00:00.743** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.397 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.382 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.379 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.361 | 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 fbb9f8ee55..f82db95170 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -207,6 +207,13 @@ trials, we can load the best schedule from the log file and apply it.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    *E
+
+
 
 
 
@@ -318,7 +325,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 91.959 ms
+    Execution time of this operator: 90.606 ms
 
 
 
@@ -434,7 +441,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  15.774 seconds)
+   **Total running time of the script:** ( 1 minutes  40.153 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 2586d119a8..89b5a3cdf1 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: 12.01/12.01     result: MeasureResult(costs=(0.022349273,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.659130334854126, timestamp=1707251980.6884065) [('tile_y', [-1, 128]), ('tile_x', [-1, 256])],None,87
-    No: 2   GFLOPS: 10.84/12.01     result: MeasureResult(costs=(0.0247642228,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7075984477996826, timestamp=1707251981.3369434)       [('tile_y', [-1, 8]), ('tile_x', [-1, 64])],None,63
-    No: 3   GFLOPS: 9.23/12.01      result: MeasureResult(costs=(0.029086082599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7245602607727051, timestamp=1707251982.0524547)       [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
-    No: 4   GFLOPS: 3.79/12.01      result: MeasureResult(costs=(0.0709116536,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.40608811378479, timestamp=1707251983.439668)  [('tile_y', [-1, 64]), ('tile_x', [-1, 8])],None,36
-    No: 5   GFLOPS: 15.85/15.85     result: MeasureResult(costs=(0.016934177,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5429353713989258, timestamp=1707251984.1079264)        [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
-    No: 6   GFLOPS: 7.40/15.85      result: MeasureResult(costs=(0.0362719508,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8505444526672363, timestamp=1707251984.9404986)       [('tile_y', [-1, 32]), ('tile_x', [-1, 16])],None,45
-    No: 7   GFLOPS: 10.73/15.85     result: MeasureResult(costs=(0.025020942600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6779451370239258, timestamp=1707251985.5953088)       [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
-    No: 8   GFLOPS: 2.87/15.85      result: MeasureResult(costs=(0.0936806622,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7517869472503662, timestamp=1707251987.3460512)       [('tile_y', [-1, 16]), ('tile_x', [-1, 2])],None,14
-    No: 9   GFLOPS: 14.56/15.85     result: MeasureResult(costs=(0.0184411368,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5305037498474121, timestamp=1707251987.9853735)       [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
-    No: 10  GFLOPS: 7.67/15.85      result: MeasureResult(costs=(0.034979457000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7890536785125732, timestamp=1707251988.7997286)       [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
+    No: 1   GFLOPS: 13.71/13.71     result: MeasureResult(costs=(0.019573235,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6723062992095947, timestamp=1707263534.1188807)        [('tile_y', [-1, 256]), ('tile_x', [-1, 128])],None,78
+    No: 2   GFLOPS: 13.23/13.71     result: MeasureResult(costs=(0.0202865412,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.573357343673706, timestamp=1707263534.7018228)        [('tile_y', [-1, 4]), ('tile_x', [-1, 512])],None,92
+    No: 3   GFLOPS: 10.34/13.71     result: MeasureResult(costs=(0.025948416800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7822606563568115, timestamp=1707263535.3726528)       [('tile_y', [-1, 2]), ('tile_x', [-1, 128])],None,71
+    No: 4   GFLOPS: 2.09/13.71      result: MeasureResult(costs=(0.12827855019999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3100664615631104, timestamp=1707263537.6767972)        [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
+    No: 5   GFLOPS: 11.78/13.71     result: MeasureResult(costs=(0.022783404,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6156320571899414, timestamp=1707263538.4118404)        [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
+    No: 6   GFLOPS: 8.98/13.71      result: MeasureResult(costs=(0.029894550199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7261092662811279, timestamp=1707263539.1426377)       [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
+    No: 7   GFLOPS: 11.60/13.71     result: MeasureResult(costs=(0.023149937399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6123092174530029, timestamp=1707263539.7727773)       [('tile_y', [-1, 1]), ('tile_x', [-1, 512])],None,90
+    No: 8   GFLOPS: 7.78/13.71      result: MeasureResult(costs=(0.0345130466,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7957713603973389, timestamp=1707263540.5818377)       [('tile_y', [-1, 1]), ('tile_x', [-1, 16])],None,40
+    No: 9   GFLOPS: 2.91/13.71      result: MeasureResult(costs=(0.0921871296,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.690399169921875, timestamp=1707263542.3806648)        [('tile_y', [-1, 16]), ('tile_x', [-1, 2])],None,14
+    No: 10  GFLOPS: 8.32/13.71      result: MeasureResult(costs=(0.0322723588,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7275216579437256, timestamp=1707263543.1527183)       [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 3b4413c22a..a705980e14 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': 466.6729065099753, 'median': 467.2305023000263, 'std': 1.5609685869372476}
+    {'mean': 465.34984752004675, 'median': 464.9661258499691, 'std': 2.0017473112177266}
 
 
 
@@ -582,31 +582,30 @@ 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:   23.92/  23.92 GFLOPS | Progress: (4/20) | 8.17 s     [Task  1/25]  Current/Best:   21.22/  23.92 GFLOPS | Progress: (8/20) | 10.42 s     [Task  1/25]  Current/Best:   14.28/  24.41 GFLOPS | Progress: (12/20) | 13.87 s     [Task  1/25]  Current/Best:   13.02/  24.41 GFLOPS | Progress: (16/20) | 17.22 s     [Task  1/25]  Current/Best:   10.48/  24.41 GFLOPS | Progress: (20/20) | 21.10 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   11.66/  17.11 GFLOPS | Progress: (4/20) | 4.04 s     [Task  2/25]  Current/Best:   14.22/  18.12 GFLOPS | Progress: (8/20) | 5.62 s     [Task  2/25]  Current/Best:   23.99/  23.99 GFLOPS | Progress: (12/20) | 7.06 s     [Task  2/25]  Current/Best:   14.21/  23.99 GFLOPS | Progress: (16/20) | 8.54 s     [Task  2/25]  Current/Best:    3.49/  23.99 GFLOPS | Progress: (20/20) | 9.97 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   13.43/  15.87 GFLOPS | Progress: (4/20) | 5.40 s     [Task  3/25]  Current/Best:   10.51/  21.14 GFLOPS | Progress: (8/20) | 8.32 s     [Task  3/25]  Current/Best:   14.25/  21.57 GFLOPS | Progress: (12/20) | 10.24 s     [Task  3/25]  Current/Best:   19.60/  21.57 GFLOPS | Progress: (16/20) | 12.59 s     [Task  3/25]  Current/Best:    6.63/  21.57 GFLOPS | Progress: (20/20) | 15.12 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   15.09/  15.09 GFLOPS | Progress: (4/20) | 8.27 s     [Task  4/25]  Current/Best:   12.51/  15.09 GFLOPS | Progress: (8/20) | 13.01 s     [Task  4/25]  Current/Best:   10.02/  19.99 GFLOPS | Progress: (12/20) | 17.18 s     [Task  4/25]  Current/Best:   10.73/  19.99 GFLOPS | Progress: (16/20) | 20.99 s     [Task  4/25]  Current/Best:   20.52/  20.52 GFLOPS | Progress: (20/20) | 23.23 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   14.90/  18.04 GFLOPS | Progress: (4/20) | 4.19 s     [Task  5/25]  Current/Best:    9.56/  21.93 GFLOPS | Progress: (8/20) | 6.15 s     [Task  5/25]  Current/Best:    6.94/  21.93 GFLOPS | Progress: (12/20) | 8.43 s     [Task  5/25]  Current/Best:    2.77/  21.93 GFLOPS | Progress: (16/20) | 10.95 s     [Task  5/25]  Current/Best:   18.34/  21.93 GFLOPS | Progress: (20/20) | 12.68 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    9.06/  14.61 GFLOPS | Progress: (4/20) | 4.99 s     [Task  6/25]  Current/Best:    4.57/  19.59 GFLOPS | Progress: (8/20) | 7.62 s     [Task  6/25]  Current/Best:   13.41/  19.59 GFLOPS | Progress: (12/20) | 12.53 s     [Task  6/25]  Current/Best:    3.77/  19.59 GFLOPS | Progress: (16/20) | 16.55 s     [Task  6/25]  Current/Best:   18.58/  20.42 GFLOPS | Progress: (20/20) | 20.71 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   20.44/  20.44 GFLOPS | Progress: (4/20) | 5.88 s     [Task  7/25]  Current/Best:   20.12/  22.51 GFLOPS | Progress: (8/20) | 8.39 s     [Task  7/25]  Current/Best:    8.67/  22.58 GFLOPS | Progress: (12/20) | 10.47 s     [Task  7/25]  Current/Best:   19.20/  24.03 GFLOPS | Progress: (16/20) | 12.35 s     [Task  7/25]  Current/Best:   20.27/  24.03 GFLOPS | Progress: (20/20) | 14.32 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   22.76/  22.76 GFLOPS | Progress: (4/20) | 5.42 s     [Task  8/25]  Current/Best:   11.67/  22.76 GFLOPS | Progress: (8/20) | 16.86 s     [Task  8/25]  Current/Best:   12.68/  22.76 GFLOPS | Progress: (12/20) | 29.25 s     [Task  8/25]  Current/Best:   12.44/  22.76 GFLOPS | Progress: (16/20) | 34.97 s     [Task  8/25]  Current/Best:   14.00/  22.76 GFLOPS | Progress: (20/20) | 37.51 s     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   18.28/  19.46 GFLOPS | Progress: (4/20) | 4.90 s     [Task  9/25]  Current/Best:   13.16/  19.46 GFLOPS | Progress: (8/20) | 7.57 s     [Task  9/25]  Current/Best:    9.71/  19.46 GFLOPS | Progress: (12/20) | 9.45 s     [Task  9/25]  Current/Best:   24.51/  24.51 GFLOPS | Progress: (16/20) | 11.63 s     [Task  9/25]  Current/Best:   12.32/  24.51 GFLOPS | Progress: (20/20
 ) | 15.82 s Done.
-     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   16.12/  16.12 GFLOPS | Progress: (4/20) | 4.57 s     [Task 10/25]  Current/Best:    5.97/  16.12 GFLOPS | Progress: (8/20) | 6.65 s     [Task 10/25]  Current/Best:    3.33/  18.27 GFLOPS | Progress: (12/20) | 8.74 s     [Task 10/25]  Current/Best:   12.12/  18.27 GFLOPS | Progress: (16/20) | 10.95 s     [Task 10/25]  Current/Best:    6.16/  19.82 GFLOPS | Progress: (20/20) | 12.85 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   20.79/  22.33 GFLOPS | Progress: (4/20) | 4.53 s     [Task 11/25]  Current/Best:    6.44/  23.39 GFLOPS | Progress: (8/20) | 6.62 s     [Task 11/25]  Current/Best:   16.27/  23.39 GFLOPS | Progress: (12/20) | 8.94 s     [Task 11/25]  Current/Best:   12.22/  23.39 GFLOPS | Progress: (16/20) | 11.21 s     [Task 11/25]  Current/Best:    6.41/  23.39 GFLOPS | Progress: (20/20) | 13.50 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   15.34/  15.34 GFLOPS | Progress: (4/20) | 7.62 s     [Task 12/25]  Current/Best:   14.56/  15.34 GFLOPS | Progress: (8/20) | 11.00 s     [Task 12/25]  Current/Best:   13.97/  16.50 GFLOPS | Progress: (12/20) | 13.51 s     [Task 12/25]  Current/Best:   11.83/  17.43 GFLOPS | Progress: (16/20) | 17.91 s     [Task 12/25]  Current/Best:    9.23/  17.43 GFLOPS | Progress: (20/20) | 27.34 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   19.24/  19.24 GFLOPS | Progress: (4/20) | 4.83 s     [Task 13/25]  Current/Best:   20.58/  20.58 GFLOPS | Progress: (8/20) | 7.32 s     [Task 13/25]  Current/Best:    5.54/  20.58 GFLOPS | Progress: (12/20) | 10.12 s     [Task 13/25]  Current/Best:   18.41/  20.58 GFLOPS | Progress: (16/20) | 13.65 s     [Task 13/25]  Current/Best:    6.58/  20.58 GFLOPS | Progress: (20/20) | 17.57 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   14.06/  14.06 GFLOPS | Progress: (4/20) | 14.90 s     [Task 14/25]  Current/Best:   22.85/  22.85 GFLOPS | Progress: (8/20) | 19.15 s     [Task 14/25]  Current/Best:    9.58/  22.85 GFLOPS | Progress: (12/20) | 22.54 s     [Task 14/25]  Current/Best:    5.44/  22.85 GFLOPS | Progress: (16/20) | 25.20 s     [Task 14/25]  Current/Best:   17.82/  22.85 GFLOPS | Progress: (20/20) | 29.51 s     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   12.75/  21.17 GFLOPS | Progress: (4/20) | 6.29 s     [Task 15/25]  Current/Best:    8.76/  24.08 GFLOPS | Progress: (8/20) | 17.33 s Done.
-     Done.
-     [Task 15/25]  Current/Best:    6.37/  24.08 GFLOPS | Progress: (12/20) | 22.73 s     [Task 15/25]  Current/Best:   14.42/  24.08 GFLOPS | Progress: (16/20) | 30.90 s     [Task 15/25]  Current/Best:   19.94/  24.08 GFLOPS | Progress: (20/20) | 33.00 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   19.30/  19.30 GFLOPS | Progress: (4/20) | 5.60 s     [Task 16/25]  Current/Best:    5.11/  20.88 GFLOPS | Progress: (8/20) | 7.39 s     [Task 16/25]  Current/Best:   19.39/  22.37 GFLOPS | Progress: (12/20) | 8.85 s     [Task 16/25]  Current/Best:   19.26/  22.49 GFLOPS | Progress: (16/20) | 10.28 s     [Task 16/25]  Current/Best:   11.42/  22.49 GFLOPS | Progress: (20/20) | 13.05 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    4.87/  21.75 GFLOPS | Progress: (4/20) | 4.96 s     [Task 17/25]  Current/Best:   12.70/  21.75 GFLOPS | Progress: (8/20) | 9.71 s     [Task 17/25]  Current/Best:   11.94/  24.11 GFLOPS | Progress: (12/20) | 14.23 s     [Task 17/25]  Current/Best:   14.91/  24.11 GFLOPS | Progress: (16/20) | 16.61 s     [Task 17/25]  Current/Best:   22.90/  24.11 GFLOPS | Progress: (20/20) | 19.36 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   11.39/  16.59 GFLOPS | Progress: (4/20) | 7.81 s     [Task 18/25]  Current/Best:   11.07/  16.59 GFLOPS | Progress: (8/20) | 12.31 s     [Task 18/25]  Current/Best:   16.57/  18.65 GFLOPS | Progress: (12/20) | 16.86 s     [Task 18/25]  Current/Best:    8.14/  19.55 GFLOPS | Progress: (16/20) | 19.15 s     [Task 18/25]  Current/Best:    9.01/  19.55 GFLOPS | Progress: (20/20) | 29.80 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    6.89/  14.49 GFLOPS | Progress: (4/20) | 8.42 s     [Task 19/25]  Current/Best:    3.19/  19.74 GFLOPS | Progress: (8/20) | 11.78 s     [Task 19/25]  Current/Best:    5.19/  21.64 GFLOPS | Progress: (12/20) | 17.65 s     [Task 19/25]  Current/Best:   10.25/  21.64 GFLOPS | Progress: (16/20) | 21.16 s     [Task 19/25]  Current/Best:    7.52/  21.89 GFLOPS | Progress: (20/20) | 25.61 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    8.87/  18.85 GFLOPS | Progress: (4/20) | 9.10 s     [Task 20/25]  Current/Best:    7.79/  19.16 GFLOPS | Progress: (8/20) | 15.61 s     [Task 20/25]  Current/Best:    9.95/  21.35 GFLOPS | Progress: (12/20) | 27.28 s     [Task 20/25]  Current/Best:   18.64/  21.35 GFLOPS | Progress: (16/20) | 38.94 s     [Task 20/25]  Current/Best:    6.81/  21.35 GFLOPS | Progress: (20/20) | 49.24 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:   13.57/  15.22 GFLOPS | Progress: (4/20) | 8.40 s     [Task 21/25]  Current/Best:    5.78/  19.98 GFLOPS | Progress: (8/20) | 19.02 s     [Task 21/25]  Current/Best:    7.16/  19.98 GFLOPS | Progress: (12/20) | 25.64 s     [Task 21/25]  Current/Best:    5.53/  19.98 GFLOPS | Progress: (16/20) | 27.95 s     [Task 21/25]  Current/Best:   18.80/  19.98 GFLOPS | Progress: (20/
 20) | 29.74 s Done.
-     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:    1.61/  17.75 GFLOPS | Progress: (4/20) | 4.84 s     [Task 22/25]  Current/Best:   10.55/  21.71 GFLOPS | Progress: (8/20) | 7.79 s     [Task 22/25]  Current/Best:   11.01/  21.71 GFLOPS | Progress: (12/20) | 9.62 s     [Task 22/25]  Current/Best:   19.43/  21.71 GFLOPS | Progress: (16/20) | 11.25 s     [Task 22/25]  Current/Best:   12.53/  21.71 GFLOPS | Progress: (20/20) | 12.85 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:    7.24/  24.89 GFLOPS | Progress: (4/20) | 5.34 s     [Task 23/25]  Current/Best:   19.30/  24.89 GFLOPS | Progress: (8/20) | 10.95 s     [Task 23/25]  Current/Best:   10.67/  24.89 GFLOPS | Progress: (12/20) | 17.06 s     [Task 23/25]  Current/Best:   11.41/  24.89 GFLOPS | Progress: (16/20) | 19.92 s     [Task 23/25]  Current/Best:    7.06/  24.89 GFLOPS | Progress: (20/20) | 24.41 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    2.75/   4.53 GFLOPS | Progress: (4/20) | 13.32 s     [Task 24/25]  Current/Best:    3.68/  10.67 GFLOPS | Progress: (8/20) | 24.29 s     [Task 24/25]  Current/Best:    3.89/  10.67 GFLOPS | Progress: (12/20) | 35.28 s Done.
-     [Task 24/25]  Current/Best:    3.89/  10.67 GFLOPS | Progress: (16/20) | 46.29 s     [Task 24/25]  Current/Best:    4.60/  10.67 GFLOPS | Progress: (20/20) | 56.95 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    1.54/   6.36 GFLOPS | Progress: (4/20) | 6.37 s     [Task 25/25]  Current/Best:    7.89/  10.18 GFLOPS | Progress: (8/20) | 8.98 s     [Task 25/25]  Current/Best:    5.99/  10.18 GFLOPS | Progress: (12/20) | 12.28 s     [Task 25/25]  Current/Best:    6.33/  10.18 GFLOPS | Progress: (16/20) | 17.08 s     [Task 25/25]  Current/Best:   10.27/  10.27 GFLOPS | Progress: (20/20) | 18.44 s Done.
-
+     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:    6.69/  15.13 GFLOPS | Progress: (4/20) | 8.35 s     [Task  1/25]  Current/Best:   17.67/  18.72 GFLOPS | Progress: (8/20) | 10.97 s     [Task  1/25]  Current/Best:    3.54/  24.70 GFLOPS | Progress: (12/20) | 14.54 s     [Task  1/25]  Current/Best:   13.04/  24.70 GFLOPS | Progress: (16/20) | 17.84 s     [Task  1/25]  Current/Best:   11.48/  24.70 GFLOPS | Progress: (20/20) | 20.27 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   20.89/  20.89 GFLOPS | Progress: (4/20) | 3.90 s     [Task  2/25]  Current/Best:   20.74/  22.32 GFLOPS | Progress: (8/20) | 5.20 s     [Task  2/25]  Current/Best:   11.00/  22.32 GFLOPS | Progress: (12/20) | 6.68 s     [Task  2/25]  Current/Best:   14.10/  22.61 GFLOPS | Progress: (16/20) | 8.16 s     [Task  2/25]  Current/Best:   18.45/  22.61 GFLOPS | Progress: (20/20) | 9.82 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:    7.91/  17.92 GFLOPS | Progress: (4/20) | 5.02 s     [Task  3/25]  Current/Best:    6.36/  17.92 GFLOPS | Progress: (8/20) | 8.88 s     [Task  3/25]  Current/Best:   20.12/  20.91 GFLOPS | Progress: (12/20) | 11.27 s     [Task  3/25]  Current/Best:    8.62/  20.93 GFLOPS | Progress: (16/20) | 16.21 s     [Task  3/25]  Current/Best:   20.03/  20.93 GFLOPS | Progress: (20/20) | 18.67 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   17.95/  17.95 GFLOPS | Progress: (4/20) | 5.33 s     [Task  4/25]  Current/Best:    6.44/  17.95 GFLOPS | Progress: (8/20) | 7.24 s     [Task  4/25]  Current/Best:   21.02/  21.90 GFLOPS | Progress: (12/20) | 8.80 s     [Task  4/25]  Current/Best:   13.21/  21.90 GFLOPS | Progress: (16/20) | 10.88 s     [Task  4/25]  Current/Best:   13.13/  21.90 GFLOPS | Progress: (20/20) | 13.20 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   15.77/  15.77 GFLOPS | Progress: (4/20) | 4.17 s     [Task  5/25]  Current/Best:   13.75/  22.35 GFLOPS | Progress: (8/20) | 5.99 s     [Task  5/25]  Current/Best:   17.80/  22.35 GFLOPS | Progress: (12/20) | 8.74 s     [Task  5/25]  Current/Best:   22.46/  22.46 GFLOPS | Progress: (16/20) | 10.97 s     [Task  5/25]  Current/Best:    5.75/  22.46 GFLOPS | Progress: (20/20) | 13.25 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   10.66/  16.62 GFLOPS | Progress: (4/20) | 5.22 s     [Task  6/25]  Current/Best:   12.34/  20.76 GFLOPS | Progress: (8/20) | 8.29 s     [Task  6/25]  Current/Best:   23.50/  23.50 GFLOPS | Progress: (12/20) | 10.73 s     [Task  6/25]  Current/Best:   10.18/  23.50 GFLOPS | Progress: (16/20) | 13.41 s     [Task  6/25]  Current/Best:   15.09/  23.50 GFLOPS | Progress: (20/20) | 15.91 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:    5.18/  19.55 GFLOPS | Progress: (4/20) | 4.76 s     [Task  7/25]  Current/Best:   15.34/  19.55 GFLOPS | Progress: (8/20) | 7.67 s     [Task  7/25]  Current/Best:    3.25/  19.55 GFLOPS | Progress: (12/20) | 10.80 s     [Task  7/25]  Current/Best:   18.56/  19.55 GFLOPS | Progress: (16/20) | 12.90 s     [Task  7/25]  Current/Best:   16.91/  19.55 GFLOPS | Progress: (20/20) | 15.73 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   15.09/  15.09 GFLOPS | Progress: (4/20) | 8.50 s     [Task  8/25]  Current/Best:   19.31/  19.31 GFLOPS | Progress: (8/20) | 14.51 s     [Task  8/25]  Current/Best:   12.03/  19.31 GFLOPS | Progress: (12/20) | 20.11 s     [Task  8/25]  Current/Best:   14.39/  19.31 GFLOPS | Progress: (16/20) | 23.29 s     [Task  8/25]  Current/Best:   11.97/  20.61 GFLOPS | Progress: (20/20) | 25.85 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   16.72/  18.28 GFLOPS | Progress: (4/20) | 7.77 s     [Task  9/25]  Current/Best:   13.30/  18.28 GFLOPS | Progress: (8/20) | 13.04 s     [Task  9/25]  Current/Best:   16.56/  18.28 GFLOPS | Progress: (12/20) | 17.96 s     [Task  9/25]  Current/Best:    6.94/  18.28 GFLOPS | Progress: (16/20) | 23.40 s     [Task  9/25]  Current/Best:    6.35/  18.28 GFLOPS | Progress: (20/20) | 26.40 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   13.57/  16.23 GFLOPS | Progress: (4/20) | 4.49 s     [Task 10/25]  Current/Best:   16.01/  18.83 GFLOPS | Progress: (8/20) | 6.85 s     [Task 10/25]  Current/Best:   14.46/  18.83 GFLOPS | Progress: (12/20) | 8.88 s     [Task 10/25]  Current/Best:    7.32/  18.83 GFLOPS | Progress: (16/20) | 11.03 s     [Task 10/25]  Current/Best:    8.76/  18.83 GFLOPS | Progress: (20/20) | 12.67 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   10.11/  19.73 GFLOPS | Progress: (4/20) | 6.58 s     [Task 11/25]  Current/Best:    6.35/  20.65 GFLOPS | Progress: (8/20) | 10.27 s     [Task 11/25]  Current/Best:   10.91/  20.65 GFLOPS | Progress: (12/20) | 13.52 s     [Task 11/25]  Current/Best:   13.24/  20.65 GFLOPS | Progress: (16/20) | 16.35 s     [Task 11/25]  Current/Best:    6.35/  21.31 GFLOPS | Progress: (20/20) | 18.48 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   12.67/  15.71 GFLOPS | Progress: (4/20) | 7.15 s     [Task 12/25]  Current/Best:    4.17/  15.71 GFLOPS | Progress: (8/20) | 12.33 s     [Task 12/25]  Current/Best:    3.59/  18.47 GFLOPS | Progress: (12/20) | 15.14 s     [Task 12/25]  Current/Best:    5.06/  18.47 GFLOPS | Progress: (16/20) | 18.21 s     [Task 12/25]  Current/Best:   12.64/  18.47 GFLOPS | Progress: (20/20) | 23.68 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   14.51/  20.78 GFLOPS | Progress: (4/20) | 4.57 s     [Task 13/25]  Current/Best:   19.94/  20.78 GFLOPS | Progress: (8/20) | 7.08 s     [Task 13/25]  Current/Best:    6.78/  23.04 GFLOPS | Progress: (12/20) | 10.92 s     [Task 13/25]  Current/Best:   17.12/  23.64 GFLOPS | Progress: (16/20) | 13.81 s     [Task 13/25]  Current/Best:   21.61/  23.64 GFLOPS | Progress: (20/20) | 16.32 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   14.08/  16.66 GFLOPS | Progress: (4/20) | 5.48 s     [Task 14/25]  Current/Best:   13.34/  16.66 GFLOPS | Progress: (8/20) | 8.97 s     [Task 14/25]  Current/Best:   14.55/  16.66 GFLOPS | Progress: (12/20) | 14.77 s     [Task 14/25]  Current/Best:   14.76/  16.66 GFLOPS | Progress: (16/20) | 17.26 s     [Task 14/25]  Current/Best:   14.27/  16.66 GFLOPS | Progress: (20/20) | 20.80 s Done.
+     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   22.60/  22.60 GFLOPS | Progress: (4/20) | 3.98 s     [Task 15/25]  Current/Best:   21.24/  22.60 GFLOPS | Progress: (8/20) | 5.92 s     [Task 15/25]  Current/Best:   20.43/  22.60 GFLOPS | Progress: (12/20) | 7.98 s     [Task 15/25]  Current/Best:   10.00/  22.60 GFLOPS | Progress: (16/20) | 19.29 s     [Task 15/25]  Current/Best:   15.25/  22.60 GFLOPS | Progress: (20/20) | 21.42 s Done.
+     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   17.35/  21.76 GFLOPS | Progress: (4/20) | 4.16 s     [Task 16/25]  Current/Best:    9.30/  21.76 GFLOPS | Progress: (8/20) | 5.83 s     [Task 16/25]  Current/Best:   18.70/  21.76 GFLOPS | Progress: (12/20) | 7.63 s     [Task 16/25]  Current/Best:   11.40/  21.76 GFLOPS | Progress: (16/20) | 11.07 s     [Task 16/25]  Current/Best:   19.71/  21.76 GFLOPS | Progress: (20/20) | 14.68 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   12.70/  24.52 GFLOPS | Progress: (4/20) | 5.59 s     [Task 17/25]  Current/Best:    3.21/  24.52 GFLOPS | Progress: (8/20) | 8.22 s     [Task 17/25]  Current/Best:   22.27/  24.52 GFLOPS | Progress: (12/20) | 11.94 s     [Task 17/25]  Current/Best:   23.07/  24.52 GFLOPS | Progress: (16/20) | 17.19 s     [Task 17/25]  Current/Best:   16.84/  24.52 GFLOPS | Progress: (20/20) | 19.71 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   18.91/  18.91 GFLOPS | Progress: (4/20) | 4.74 s     [Task 18/25]  Current/Best:   20.46/  20.46 GFLOPS | Progress: (8/20) | 7.72 s     [Task 18/25]  Current/Best:   10.58/  21.29 GFLOPS | Progress: (12/20) | 12.38 s     [Task 18/25]  Current/Best:   10.21/  21.29 GFLOPS | Progress: (16/20) | 16.70 s     [Task 18/25]  Current/Best:   21.09/  21.29 GFLOPS | Progress: (20/20) | 18.86 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   18.96/  18.96 GFLOPS | Progress: (4/20) | 6.33 s     [Task 19/25]  Current/Best:   13.52/  22.71 GFLOPS | Progress: (8/20) | 9.54 s     [Task 19/25]  Current/Best:   12.63/  22.71 GFLOPS | Progress: (12/20) | 13.25 s     [Task 19/25]  Current/Best:   13.00/  22.71 GFLOPS | Progress: (16/20) | 17.35 s     [Task 19/25]  Current/Best:    5.02/  22.71 GFLOPS | Progress: (20/20) | 23.48 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   14.87/  16.36 GFLOPS | Progress: (4/20) | 13.80 s     [Task 20/25]  Current/Best:    8.62/  18.56 GFLOPS | Progress: (8/20) | 20.99 s     [Task 20/25]  Current/Best:   20.42/  20.52 GFLOPS | Progress: (12/20) | 25.66 s     [Task 20/25]  Current/Best:   15.40/  20.52 GFLOPS | Progress: (16/20) | 32.38 s     [Task 20/25]  Current/Best:   18.79/  20.52 GFLOPS | Progress: (20/20) | 34.25 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:   18.26/  18.90 GFLOPS | Progress: (4/20) | 4.02 s     [Task 21/25]  Current/Best:   13.66/  21.29 GFLOPS | Progress: (8/20) | 6.45 s     [Task 21/25]  Current/Best:    9.86/  21.29 GFLOPS | Progress: (12/20) | 8.38 s     [Task 21/25]  Current/Best:   20.01/  21.29 GFLOPS | Progress: (16/20) | 11.83 s     [Task 21/25]  Current/Best:   10.19/  21.29 GFLOPS | Progress: (20/2
 0) | 14.17 s Done.
+     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   20.37/  20.37 GFLOPS | Progress: (4/20) | 4.62 s     [Task 22/25]  Current/Best:   19.40/  20.37 GFLOPS | Progress: (8/20) | 6.29 s     [Task 22/25]  Current/Best:   10.71/  20.37 GFLOPS | Progress: (12/20) | 8.65 s     [Task 22/25]  Current/Best:    6.79/  20.37 GFLOPS | Progress: (16/20) | 11.23 s     [Task 22/25]  Current/Best:   22.24/  22.24 GFLOPS | Progress: (20/20) | 13.96 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   12.26/  22.65 GFLOPS | Progress: (4/20) | 6.53 s     [Task 23/25]  Current/Best:    3.19/  22.65 GFLOPS | Progress: (8/20) | 9.62 s     [Task 23/25]  Current/Best:   13.82/  22.65 GFLOPS | Progress: (12/20) | 12.16 s     [Task 23/25]  Current/Best:    4.32/  22.65 GFLOPS | Progress: (16/20) | 16.89 s     [Task 23/25]  Current/Best:   19.98/  23.29 GFLOPS | Progress: (20/20) | 19.33 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    1.92/   3.84 GFLOPS | Progress: (4/20) | 13.35 s     [Task 24/25]  Current/Best:    6.52/   6.52 GFLOPS | Progress: (8/20) | 24.32 s Done.
+     [Task 24/25]  Current/Best:    8.51/   8.51 GFLOPS | Progress: (12/20) | 35.29 s     [Task 24/25]  Current/Best:    3.59/   8.51 GFLOPS | Progress: (16/20) | 46.29 s     [Task 24/25]  Current/Best:    4.17/   8.51 GFLOPS | Progress: (20/20) | 57.03 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    3.10/  10.74 GFLOPS | Progress: (4/20) | 5.04 s     [Task 25/25]  Current/Best:    3.14/  10.74 GFLOPS | Progress: (8/20) | 16.01 s     [Task 25/25]  Current/Best:    3.64/  10.74 GFLOPS | Progress: (12/20) | 26.94 s     [Task 25/25]  Current/Best:    6.09/  10.74 GFLOPS | Progress: (16/20) | 29.30 s     [Task 25/25]  Current/Best:    8.83/  10.74 GFLOPS | Progress: (20/20) | 39.94 s
 
 
 
@@ -766,8 +765,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 391.9160040799943, 'median': 391.30669009991834, 'std': 1.5949759088316464}
-    unoptimized: {'mean': 466.6729065099753, 'median': 467.2305023000263, 'std': 1.5609685869372476}
+    optimized: {'mean': 391.6078571101025, 'median': 390.6896420499834, 'std': 3.0012592019791104}
+    unoptimized: {'mean': 465.34984752004675, 'median': 464.9661258499691, 'std': 2.0017473112177266}
 
 
 
@@ -790,7 +789,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  41.218 seconds)
+   **Total running time of the script:** ( 12 minutes  47.965 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 8c27e9adb8..0cc9476c30 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
 
-    1.176e-07 secs/op
+    1.164e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 98c8165b6d..8fbd7d1f83 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, 0x15a921f0)), stage(b, placeholder(b, 0x15274610)), 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, 0x2c6467a0)), stage(b, placeholder(b, 0x2d8b13e0)), 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 8f6bca89ac..9d017b2610 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**16:51.432** total execution time for **tutorial** files:
+**16:24.068** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:41.218 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 12:47.965 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:15.774 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:40.153 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:58.175 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:58.430 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:40.195 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:40.392 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:14.176 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:15.216 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.912 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.921 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.817 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.823 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.166 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.168 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_uma.py` (``uma.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 b89ad4daf5..e5389714e4 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -285,7 +285,7 @@ helper function to run a profile of the TVM generated code.
 
  .. code-block:: none
 
-    Numpy running time: 0.000005
+    Numpy running time: 0.000006
     naive: 0.000006
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000038
+    vector: 0.000039
     # 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    5.198489998292644e-06                    1.0
-                   naive               5.647e-06      1.0862769769403542
-                parallel               5.903e-06      1.1355220461977884
-                  vector                 3.8e-05       7.309814967900382
+                   numpy    5.5548399905092084e-06                   1.0
+                   naive              5.8237e-06      1.0484010358444447
+                parallel              5.9953e-06      1.0792930147841062
+                  vector    3.9092500000000006e-05     7.037556449293227
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.013491
+    Numpy running time: 0.013467
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.361882
+    none: 3.400829
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.291260
+    blocking: 0.281165
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.270041
+    vectorization: 0.254525
     # 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: 0.111016
+    loop permutation: 0.110632
     # 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: 0.102224
+    array packing: 0.103902
     # 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: 0.094474
+    block caching: 0.094454
     # 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: 0.111062
+    parallelization: 0.112159
     # 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      3.3618818679999998                     1.0
-                blocking     0.29125969129999996     0.08663590891528612
-           vectorization            0.2700409541     0.08032434353817694
-        loop permutation            0.1110157052    0.033021893558099286
-           array packing     0.10222408860000001    0.030406805656384837
-           block caching     0.09447449649999999     0.02810167049569869
-         parallelization            0.1110623712    0.033035774474155316
+                    none      3.4008288097999992                     1.0
+                blocking            0.2811649766     0.08267542776330901
+           vectorization             0.254525412      0.0748421711985463
+        loop permutation     0.11063195639999998    0.032530880731543255
+           array packing            0.1039015684    0.030551837275840533
+           block caching            0.0944541394    0.027773858868701713
+         parallelization            0.1121585275     0.03297976280864193
 
 
 
diff --git a/docs/commit_hash b/docs/commit_hash
index 222e4b263f..11a3ebcedf 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-8da3de1522e2caa080c61a0dbe3faa9ab93bacf9
+6a2459f185d09e33abfbe67ad4b2512610f2868b
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 03d1dc98cf..4b07d8f703 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -605,7 +605,7 @@ class:[&#39;truck 0.9266&#39;] left:471 top:83 right:689 bottom:169
 class:[&#39;bicycle 0.9984&#39;] left:111 top:113 right:577 bottom:447
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  29.018 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  26.906 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_mxnet.html b/docs/how_to/compile_models/from_mxnet.html
index 22697f3bef..6acb6381bb 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -459,7 +459,7 @@
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">x</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
 </pre></div>
 </div>
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+<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipda498906-fc40-4541-9237-9aaf4a2e31c1 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
 x (1, 3, 224, 224)
 </pre></div>
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diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index aa66575bfd..7d42f66a37 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -469,14 +469,13 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip&quot; to /workspace/.oneflow/flowvision_cache/resnet18.zip
 
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diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index 0cc2bbd3a0..d05115ae95 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -452,12 +452,12 @@ be unstable.</p>
 Downloading: &quot;https://download.pytorch.org/models/resnet18-f37072fd.pth&quot; 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 448996f178..4c427097b1 100644
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@@ -672,7 +672,7 @@ banana (score = 0.00022)
 desk (score = 0.00019)
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diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
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-<td><p>00:02.709</p></td>
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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 5cf2c8df62..5106be29bd 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)
- 3991.6639    3989.8288    4005.6129    3988.9358      4.7853
+ 3990.5257    3991.3653    3994.4083    3985.5099      2.9796
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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 1a39a2b55d..0e631db78a 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
@@ -458,28 +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 0d61e24f3e..72f656f2d6 100644
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+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
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-  14.3470      14.2405      14.9508      13.9177       0.3702
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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 +474,36 @@ be unstable.</p>
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+ 81%|########1 | 138M/170M [00:03&lt;00:00, 37.1MB/s]
+ 85%|########4 | 144M/170M [00:03&lt;00:00, 36.2MB/s]
+ 88%|########8 | 150M/170M [00:03&lt;00:00, 39.1MB/s]
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+ 99%|#########8| 168M/170M [00:04&lt;00:00, 35.3MB/s]
+100%|##########| 170M/170M [00:04&lt;00:00, 40.4MB/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 +594,7 @@ 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  18.327 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  18.058 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 b73c287a30..9f502c6a7a 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: &quot;https://download.pytorch.org/models/mobilenet_v2-b0353104.pth&quot; to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
 
   0%|          | 0.00/13.6M [00:00&lt;?, ?B/s]
- 59%|#####8    | 7.99M/13.6M [00:00&lt;00:00, 42.4MB/s]
-100%|##########| 13.6M/13.6M [00:00&lt;00:00, 59.9MB/s]
+ 47%|####6     | 6.30M/13.6M [00:00&lt;00:00, 54.0MB/s]
+ 85%|########4 | 11.5M/13.6M [00:00&lt;00:00, 45.4MB/s]
+100%|##########| 13.6M/13.6M [00:00&lt;00:00, 30.3MB/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)
-  85.8565      85.8181      86.5225      85.5201       0.1851
+  85.8499      85.7669      90.2811      85.4211       0.5409
 </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  23.467 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  23.870 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 20e86ad435..341fa28764 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)
-  105.3708     105.0166     107.6633     103.9523      1.0550
+  103.0370     102.7011     108.8385     101.6848      1.1458
 </pre></div>
 </div>
 <div class="admonition note">
diff --git a/docs/how_to/deploy_models/deploy_quantized.html b/docs/how_to/deploy_models/deploy_quantized.html
index f9a5b52fd6..dce04feac0 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -541,7 +541,7 @@ for calibration. But the accuracy might be impacted.</p>
   warnings.warn(
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  48.710 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  52.663 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-quantized-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/7810ecf51bfc05f7d5e8a400ac3e815d/deploy_quantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_quantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 36169789d3..64a107010b 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>11:05.630</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>11:09.525</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 86%" />
@@ -369,39 +369,39 @@
 </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>03:18.327</p></td>
+<td><p>03:18.058</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">Deploy a Quantized Model on Cuda</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_quantized.py</span></code>)</p></td>
-<td><p>01:48.710</p></td>
+<td><p>01:52.663</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:23.467</p></td>
+<td><p>01:23.870</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:16.117</p></td>
+<td><p>01:16.079</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:48.784</p></td>
+<td><p>00:48.669</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>00:48.134</p></td>
+<td><p>00:48.139</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_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>00:44.537</p></td>
+<td><p>00:44.453</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:28.875</p></td>
+<td><p>00:28.879</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:28.673</p></td>
+<td><p>00:28.709</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/bring_your_own_datatypes.html b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
index 4ee126b1b0..1728310cf8 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -639,7 +639,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
 <span class="n">module</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">params</span></a> <span class="o">=</span> <span class="n">get_mobilenet</span><span class="p">()</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipeeacc767-dc7c-42c4-9ec1-5a2ce7f3f0d7 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip401afa28-c8c8-4544-866f-2847f2c40fac from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
 </pre></div>
 </div>
 <p>It’s easy to execute MobileNet with native TVM:</p>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index ba8b7c1c18..6802077df2 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>00:54.870</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:54.966</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -369,15 +369,15 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="bring_your_own_datatypes.html#sphx-glr-how-to-extend-tvm-bring-your-own-datatypes-py"><span class="std std-ref">Bring Your Own Datatypes to TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_datatypes.py</span></code>)</p></td>
-<td><p>00:51.105</p></td>
+<td><p>00:51.206</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:02.639</p></td>
+<td><p>00:02.622</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.119</p></td>
+<td><p>00:01.131</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 8d58d378bd..d8e3a6ac6c 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -546,10 +546,10 @@ 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: 24014us [24014us] (48.71%; 48.71%)
-FoldScaleAxis: 25281us [6us] (51.29%; 51.29%)
-        FoldConstant: 25275us [1735us] (51.27%; 99.97%)
-                InferType: 23540us [23540us] (47.75%; 93.14%)
+InferType: 24393us [24393us] (48.66%; 48.66%)
+FoldScaleAxis: 25734us [7us] (51.34%; 51.34%)
+        FoldConstant: 25727us [1732us] (51.32%; 99.97%)
+                InferType: 23995us [23995us] (47.87%; 93.27%)
 </pre></div>
 </div>
 </div>
@@ -571,10 +571,10 @@ 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: 23284us [23284us] (48.57%; 48.57%)
-FoldScaleAxis: 24655us [5us] (51.43%; 51.43%)
-        FoldConstant: 24650us [1722us] (51.42%; 99.98%)
-                InferType: 22928us [22928us] (47.83%; 93.02%)
+InferType: 24358us [24358us] (49.27%; 49.27%)
+FoldScaleAxis: 25084us [5us] (50.73%; 50.73%)
+        FoldConstant: 25079us [1662us] (50.72%; 99.98%)
+                InferType: 23417us [23417us] (47.36%; 93.37%)
 </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 cba41cfd73..e5f7bc9cae 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">&quot;Convolution: </span><span class="si">%f</span><span class="s2"> ms&quot;</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: 40.212448 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 52.177440 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 81c6bb9588..95e7bd4360 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">&quot;conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms&quot;</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: 12.278522 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.082339 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 a0eef90c69..22992a956b 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">&quot;Baseline: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.013749
-Baseline: 3.344586
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.013446
+Baseline: 3.343652
 </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">&quot;Opt1: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.274582
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.292726
 </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">&quot;Opt2: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.258142
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.261771
 </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">&quot;Opt3: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.112236
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.108694
 </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">&quot;Opt4: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.106811
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.102877
 </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">&quot;Opt5: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.095438
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.093915
 </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">&quot;Opt6: </span><span class="si">%f</span><span class="s2">&quot;</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: 0.112650
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.111267
 </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 5ed23c4893..3490c75006 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>00:31.324</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:31.349</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
 <table class="docutils align-default">
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+<td><p>00:28.392</p></td>
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+<td><p>00:01.792</p></td>
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+<td><p>00:01.165</p></td>
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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 d027565197..49f2fa7df5 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>03:24.975</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:25.379</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 @@
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 <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>01:28.429</p></td>
+<td><p>01:28.810</p></td>
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 <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>01:09.537</p></td>
+<td><p>01:09.320</p></td>
 <td><p>0.0 MB</p></td>
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 <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>00:16.950</p></td>
+<td><p>00:16.862</p></td>
 <td><p>0.0 MB</p></td>
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 <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>00:15.519</p></td>
+<td><p>00:15.606</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>00:14.444</p></td>
+<td><p>00:14.683</p></td>
 <td><p>0.0 MB</p></td>
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 <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>00:00.097</p></td>
+<td><p>00:00.098</p></td>
 <td><p>0.0 MB</p></td>
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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 a5d0149941..6d0c62d915 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -936,7 +936,7 @@ 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)
-   3.2307       3.2318       3.2370       3.2234       0.0056
+   3.2352       3.2417       3.2419       3.2219       0.0094
 </pre></div>
 </div>
 </div>
@@ -958,7 +958,7 @@ 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  9.537 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  9.320 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 8e1532fc3f..4adc1b03f0 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -955,7 +955,7 @@ 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)
-  697.7315     697.6850     698.0533     697.4563      0.2459
+  697.1748     697.1711     698.1338     696.2196      0.7815
 </pre></div>
 </div>
 </div>
@@ -977,7 +977,7 @@ 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  28.429 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  28.810 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 df0875a132..2bcb0ea73b 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>00:22.489</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:22.552</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 @@
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 <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>00:22.453</p></td>
+<td><p>00:22.513</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></td>
-<td><p>00:00.020</p></td>
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 <td><p>0.0 MB</p></td>
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 <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>00:00.006</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>
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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 3794bf2203..5fa501c11e 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: 0.037352
+Time cost of this operator: 0.037327
 </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 d25bb5591a..c73f2a26fd 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  293.8     98.72    (1, 2, 10, 10, 3)  2       1        [293.8]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.879     0.967    (1, 6, 10, 10)     1       1        [2.879]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.931     0.313    (1, 1, 10, 10, 3)  1       1        [0.931]
-Total_time                                    -                                             297.61    -        -                  -       -        -
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+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.717     1.671    (1, 6, 10, 10)     1       1        [1.717]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.814     0.792    (1, 3, 10, 10, 1)  1       1        [0.814]
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+++ 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: &quot;https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth&quot; to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
 
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@@ -604,7 +604,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
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--- a/docs/how_to/work_with_schedules/intrin_math.html
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@@ -572,7 +572,7 @@ The following example customizes CUDA lowering rule for <code class="code docuti
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 <tr class="row-even"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
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+<tr class="memdesc:aa26d9a1b7b6b9b7bc575ad8edccb7ca7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fold constant expressions within dataflow blocks.  <a href="namespacetvm_1_1relax_1_1transform.html#aa26d9a1b7b6b9b7bc575ad8edccb7ca7">More...</a><br /></td></tr>
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 <tr class="memdesc:a2e0e68203b9c10f651e75a7f1bcd42c9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Legalize high-level operator calls in Relax functions to call_tir with corresponding low-level TIR PrimFuncs.  <a href="namespacetvm_1_1relax_1_1transform.html#a2e0e68203b9c10f651e75a7f1bcd42c9">More...</a><br /></td></tr>
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   </dd>
 </dl>
 <dl class="section return"><dt>Returns</dt><dd>The Pass. </dd></dl>
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+<dl class="section note"><dt>Note</dt><dd>ConvertToDataflow may need to be called first to provide dataflow blocks. </dd></dl>
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 <p>Dead code elimination. </p>
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+<li>Unused local VarBindings (those where the bound var is unused and no impure operation is used).</li>
+<li>Unused Relax functions in the module. We detect the call chain from the entry function, and remove <a class="el" href="namespacetvm.html#adeeaff4fb29f75a9da8ff4d67723c693" title="logical And of source expression over axis">all</a> unused functions.</li>
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+<p>Any binding blocks that are left empty will be removed by the normalizer.</p>
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+<p>Fold constant expressions within dataflow blocks. </p>
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+<dl class="section return"><dt>Returns</dt><dd>The Pass.</dd></dl>
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-<dl class="section return"><dt>Returns</dt><dd>The Pass. </dd></dl>
+<dl class="section return"><dt>Returns</dt><dd>The Pass.</dd></dl>
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   </table>
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-<dl class="section return"><dt>Returns</dt><dd>The Pass. </dd></dl>
+<dl class="section return"><dt>Returns</dt><dd>The Pass.</dd></dl>
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index b1097fe92e..7420737ce7 100644
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+<tr class="memdesc:aa26d9a1b7b6b9b7bc575ad8edccb7ca7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fold constant expressions within dataflow blocks.  <a href="namespacetvm_1_1relax_1_1transform.html#aa26d9a1b7b6b9b7bc575ad8edccb7ca7">More...</a><br /></td></tr>
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-<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160; </div>
-<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// TVM_RELAX_TRANSFORM_H_</span></div>
+<div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="namespacetvm_1_1relax_1_1transform.html#a3876e2a757378b1f9d195af8cbba1e52">  606</a></span>&#160;TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1relax_1_1transform.html#a3876e2a757378b1f9d195af8cbba1e52">ToMixedPrecision</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1DataType.html">DataType</a>&amp; out_dty [...]
+<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;                              <a class="code" href="classtvm_1_1runtime_1_1Optional.html">Optional</a>&lt;<a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;String&gt;</a>&gt; fp16_input_names = <a class="code" href="namespacetvm.html#aae7034e3e41c18e7fb78ff32bfc6a318">NullOpt</a>);</div>
+<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160; </div>
+<div class="line"><a name="l00614"></a><span class="lineno"><a class="line" href="namespacetvm_1_1relax_1_1transform.html#ad769f00c33bd5eac4fa5e608ce92b87b">  614</a></span>&#160;TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1relax_1_1transform.html#ad769f00c33bd5eac4fa5e608ce92b87b">RewriteCUDAGraph</a>();</div>
+<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160; </div>
+<div class="line"><a name="l00626"></a><span class="lineno"><a class="line" href="namespacetvm_1_1relax_1_1transform.html#a47edcc1f5a163d830f6a428663d82875">  626</a></span>&#160;TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1relax_1_1transform.html#a47edcc1f5a163d830f6a428663d82875">FewShotTuning</a>(<span class="keywordtype">int</span> valid_count, <span class="keywordtype">bool</span> benchmark);</div>
+<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160; </div>
+<div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;}  <span class="comment">// namespace transform</span></div>
+<div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;}  <span class="comment">// namespace relax</span></div>
+<div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;}  <span class="comment">// namespace tvm</span></div>
+<div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160; </div>
+<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// TVM_RELAX_TRANSFORM_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>
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 <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>
@@ -279,29 +279,29 @@ $(function() {
 <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:873</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:967</div></div>
 <div class="ttc" id="aclasstvm_1_1relax_1_1Var_html"><div class="ttname"><a href="classtvm_1_1relax_1_1Var.html">tvm::relax::Var</a></div><div class="ttdef"><b>Definition:</b> expr.h:476</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html">tvm::relax::transform::FusionPatternNode</a></div><div class="ttdoc">The pattern object used as the input of FuseOpsByPattern. For bindings to be fused,...</div><div class="ttdef"><b>Definition:</b> transform.h:323</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a209ad934d83f9b55ad070204ced1ec3f"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a209ad934d83f9b55ad070204ced1ec3f">tvm::relax::transform::FusionPatternNode::annotation_patterns</a></div><div class="ttdeci">Map&lt; String, DFPattern &gt; annotation_patterns</div><div class="ttdoc">The map which is used to extract important expressions from the pattern match result....</d [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html">tvm::relax::transform::FusionPatternNode</a></div><div class="ttdoc">The pattern object used as the input of FuseOpsByPattern. For bindings to be fused,...</div><div class="ttdef"><b>Definition:</b> transform.h:325</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a209ad934d83f9b55ad070204ced1ec3f"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a209ad934d83f9b55ad070204ced1ec3f">tvm::relax::transform::FusionPatternNode::annotation_patterns</a></div><div class="ttdeci">Map&lt; String, DFPattern &gt; annotation_patterns</div><div class="ttdoc">The map which is used to extract important expressions from the pattern match result....</d [...]
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-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a5f1e64ee604ff5056f562e547b4f0a4d"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a5f1e64ee604ff5056f562e547b4f0a4d">tvm::relax::transform::FusionPatternNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The name of pattern. It becomes the value of the kComposite attribute of a fused function after succe...</div><div class="ttdef"><b>Definition:</ [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a661935320e71fd70f56017c9f6e75243"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a661935320e71fd70f56017c9f6e75243">tvm::relax::transform::FusionPatternNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(tvm::AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> transform.h:360</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a8af92ff4bb3371768190ae70e9dfc4bd"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a8af92ff4bb3371768190ae70e9dfc4bd">tvm::relax::transform::FusionPatternNode::attrs_getter</a></div><div class="ttdeci">Optional&lt; PackedFunc &gt; attrs_getter</div><div class="ttdoc">The function to get attributes for fused function.</div><div class="ttdef"><b>Definition:</b> transform.h:3 [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a9a8209c575729f5430a45115fde32d4b"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a9a8209c575729f5430a45115fde32d4b">tvm::relax::transform::FusionPatternNode::check</a></div><div class="ttdeci">Optional&lt; PackedFunc &gt; check</div><div class="ttdoc">The function to determine whether the match result is accepted. This can be NullOpt if check function...</div><div class= [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_ab4f1194ba8603e058d0334b8a0e529ae"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#ab4f1194ba8603e058d0334b8a0e529ae">tvm::relax::transform::FusionPatternNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> transform.h:368</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_ac1f028235aed2b8bbcba533f024c9400"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#ac1f028235aed2b8bbcba533f024c9400">tvm::relax::transform::FusionPatternNode::pattern</a></div><div class="ttdeci">DFPattern pattern</div><div class="ttdoc">The dataflow pattern that will be used to match expression in the DataflowBlock. All the call nodes c...</div><div class="ttdef"><b>Defi [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPattern_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPattern.html">tvm::relax::transform::FusionPattern</a></div><div class="ttdef"><b>Definition:</b> transform.h:372</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a5f1e64ee604ff5056f562e547b4f0a4d"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a5f1e64ee604ff5056f562e547b4f0a4d">tvm::relax::transform::FusionPatternNode::name</a></div><div class="ttdeci">String name</div><div class="ttdoc">The name of pattern. It becomes the value of the kComposite attribute of a fused function after succe...</div><div class="ttdef"><b>Definition:</ [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a661935320e71fd70f56017c9f6e75243"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a661935320e71fd70f56017c9f6e75243">tvm::relax::transform::FusionPatternNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(tvm::AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> transform.h:362</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a8af92ff4bb3371768190ae70e9dfc4bd"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a8af92ff4bb3371768190ae70e9dfc4bd">tvm::relax::transform::FusionPatternNode::attrs_getter</a></div><div class="ttdeci">Optional&lt; PackedFunc &gt; attrs_getter</div><div class="ttdoc">The function to get attributes for fused function.</div><div class="ttdef"><b>Definition:</b> transform.h:3 [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_a9a8209c575729f5430a45115fde32d4b"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#a9a8209c575729f5430a45115fde32d4b">tvm::relax::transform::FusionPatternNode::check</a></div><div class="ttdeci">Optional&lt; PackedFunc &gt; check</div><div class="ttdoc">The function to determine whether the match result is accepted. This can be NullOpt if check function...</div><div class= [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_ab4f1194ba8603e058d0334b8a0e529ae"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#ab4f1194ba8603e058d0334b8a0e529ae">tvm::relax::transform::FusionPatternNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> transform.h:370</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPatternNode_html_ac1f028235aed2b8bbcba533f024c9400"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPatternNode.html#ac1f028235aed2b8bbcba533f024c9400">tvm::relax::transform::FusionPatternNode::pattern</a></div><div class="ttdeci">DFPattern pattern</div><div class="ttdoc">The dataflow pattern that will be used to match expression in the DataflowBlock. All the call nodes c...</div><div class="ttdef"><b>Defi [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPattern_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPattern.html">tvm::relax::transform::FusionPattern</a></div><div class="ttdef"><b>Definition:</b> transform.h:374</div></div>
 <div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPattern_html_a2d1f4efc91c1bc7b3df9cab078f0d0d8"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPattern.html#a2d1f4efc91c1bc7b3df9cab078f0d0d8">tvm::relax::transform::FusionPattern::FusionPattern</a></div><div class="ttdeci">FusionPattern(String name, DFPattern pattern, Map&lt; String, DFPattern &gt; annotation_patterns, Optional&lt; PackedFunc &gt; check, Optional&lt; PackedFunc &gt; attrs_getter)</div></div>
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-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html">tvm::relax::transform::PatternCheckContextNode</a></div><div class="ttdoc">The input of FusionPattern::check.</div><div class="ttdef"><b>Definition:</b> transform.h:386</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a396aa8792f8fd5fbe09c996ba68a3dfb"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a396aa8792f8fd5fbe09c996ba68a3dfb">tvm::relax::transform::PatternCheckContextNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(tvm::AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> transform.h:417</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a47df379025eabd9ebc3c28068d5ab799"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a47df379025eabd9ebc3c28068d5ab799">tvm::relax::transform::PatternCheckContextNode::value_to_bound_var</a></div><div class="ttdeci">Map&lt; Expr, Var &gt; value_to_bound_var</div><div class="ttdoc">Map from value to its bound variable. It doesn't have variables after the matched e [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a57ce045f116f2bd96d5d7f3f32b4dc11"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a57ce045f116f2bd96d5d7f3f32b4dc11">tvm::relax::transform::PatternCheckContextNode::matched_bindings</a></div><div class="ttdeci">Map&lt; Var, Expr &gt; matched_bindings</div><div class="ttdoc">Map from variable to its value. It contains variables from bindings that is being fused [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a82fc58d4a0c9c258cc081fe1af14eff1"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a82fc58d4a0c9c258cc081fe1af14eff1">tvm::relax::transform::PatternCheckContextNode::annotated_expr</a></div><div class="ttdeci">Map&lt; String, Expr &gt; annotated_expr</div><div class="ttdoc">A map which contains all expressions matched by the sub patterns in FusionPattern::annot [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1FusionPattern_html_a700c1e65ee7144382d1c241981583212"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1FusionPattern.html#a700c1e65ee7144382d1c241981583212">tvm::relax::transform::FusionPattern::FusionPattern</a></div><div class="ttdeci">FusionPattern(String name, DFPattern pattern)</div><div class="ttdef"><b>Definition:</b> transform.h:379</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html">tvm::relax::transform::PatternCheckContextNode</a></div><div class="ttdoc">The input of FusionPattern::check.</div><div class="ttdef"><b>Definition:</b> transform.h:388</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a396aa8792f8fd5fbe09c996ba68a3dfb"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a396aa8792f8fd5fbe09c996ba68a3dfb">tvm::relax::transform::PatternCheckContextNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(tvm::AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> transform.h:419</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a47df379025eabd9ebc3c28068d5ab799"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a47df379025eabd9ebc3c28068d5ab799">tvm::relax::transform::PatternCheckContextNode::value_to_bound_var</a></div><div class="ttdeci">Map&lt; Expr, Var &gt; value_to_bound_var</div><div class="ttdoc">Map from value to its bound variable. It doesn't have variables after the matched e [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a57ce045f116f2bd96d5d7f3f32b4dc11"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a57ce045f116f2bd96d5d7f3f32b4dc11">tvm::relax::transform::PatternCheckContextNode::matched_bindings</a></div><div class="ttdeci">Map&lt; Var, Expr &gt; matched_bindings</div><div class="ttdoc">Map from variable to its value. It contains variables from bindings that is being fused [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a82fc58d4a0c9c258cc081fe1af14eff1"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a82fc58d4a0c9c258cc081fe1af14eff1">tvm::relax::transform::PatternCheckContextNode::annotated_expr</a></div><div class="ttdeci">Map&lt; String, Expr &gt; annotated_expr</div><div class="ttdoc">A map which contains all expressions matched by the sub patterns in FusionPattern::annot [...]
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-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a93ff171c5adf1c2305ce45372f785424"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a93ff171c5adf1c2305ce45372f785424">tvm::relax::transform::PatternCheckContextNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> transform.h:425</div></div>
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_ae44b578d189dff880745f07fb1ddca31"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#ae44b578d189dff880745f07fb1ddca31">tvm::relax::transform::PatternCheckContextNode::var_usages</a></div><div class="ttdeci">Map&lt; Var, Array&lt; Var &gt; &gt; var_usages</div><div class="ttdoc">A map mapping variable definitions to a set of uses. It has all variables used in the [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_aecf49329b2d1df52bef769046a6c8471"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#aecf49329b2d1df52bef769046a6c8471">tvm::relax::transform::PatternCheckContextNode::matched_expr</a></div><div class="ttdeci">Expr matched_expr</div><div class="ttdoc">The expression that's matched with the FusionPattern::pattern.</div><div class="ttdef"><b>Definition:</b> transfo [...]
-<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContext_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContext.html">tvm::relax::transform::PatternCheckContext</a></div><div class="ttdef"><b>Definition:</b> transform.h:429</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_a93ff171c5adf1c2305ce45372f785424"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#a93ff171c5adf1c2305ce45372f785424">tvm::relax::transform::PatternCheckContextNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> transform.h:427</div></div>
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_ae44b578d189dff880745f07fb1ddca31"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#ae44b578d189dff880745f07fb1ddca31">tvm::relax::transform::PatternCheckContextNode::var_usages</a></div><div class="ttdeci">Map&lt; Var, Array&lt; Var &gt; &gt; var_usages</div><div class="ttdoc">A map mapping variable definitions to a set of uses. It has all variables used in the [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContextNode_html_aecf49329b2d1df52bef769046a6c8471"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContextNode.html#aecf49329b2d1df52bef769046a6c8471">tvm::relax::transform::PatternCheckContextNode::matched_expr</a></div><div class="ttdeci">Expr matched_expr</div><div class="ttdoc">The expression that's matched with the FusionPattern::pattern.</div><div class="ttdef"><b>Definition:</b> transfo [...]
+<div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContext_html"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContext.html">tvm::relax::transform::PatternCheckContext</a></div><div class="ttdef"><b>Definition:</b> transform.h:431</div></div>
 <div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContext_html_a8b722f0ce7c600df653b5b7fa6e1813b"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContext.html#a8b722f0ce7c600df653b5b7fa6e1813b">tvm::relax::transform::PatternCheckContext::PatternCheckContext</a></div><div class="ttdeci">PatternCheckContext(Expr matched_expr, Map&lt; String, Expr &gt; annotated_expr, Map&lt; Var, Expr &gt; matched_bindings, Map&lt; Var, Array&lt; Var &gt;&gt; va [...]
 <div class="ttc" id="aclasstvm_1_1relax_1_1transform_1_1PatternCheckContext_html_af88d0ee0cc9abfdadfe22466ffbc94ef"><div class="ttname"><a href="classtvm_1_1relax_1_1transform_1_1PatternCheckContext.html#af88d0ee0cc9abfdadfe22466ffbc94ef">tvm::relax::transform::PatternCheckContext::TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS</a></div><div class="ttdeci">TVM_DEFINE_NOTNULLABLE_OBJECT_REF_METHODS(PatternCheckContext, ObjectRef, PatternCheckContextNode)</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>
@@ -346,7 +346,7 @@ $(function() {
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_a9578408fcfdc920ca97d54ae699c431f"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#a9578408fcfdc920ca97d54ae699c431f">tvm::relax::transform::ExpandTupleArguments</a></div><div class="ttdeci">Pass ExpandTupleArguments()</div><div class="ttdoc">Expand tuple arguments to internal functions.</div></div>
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_a9994428123b73cedf8b1feddfe830883"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#a9994428123b73cedf8b1feddfe830883">tvm::relax::transform::AlterOpImpl</a></div><div class="ttdeci">Pass AlterOpImpl(const Map&lt; String, tir::PrimFunc &gt; &amp;op_impl_map, const Map&lt; String, Array&lt; tir::IndexMap &gt;&gt; &amp;op_buffer_transforms, const Map&lt; String, Array&lt; Array&lt; IntImm &gt;&gt;&gt; &amp;ax [...]
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_a9a4dfbde47ed73e61446a4f13ffa1d57"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#a9a4dfbde47ed73e61446a4f13ffa1d57">tvm::relax::transform::DecomposeOpsForInference</a></div><div class="ttdeci">Pass DecomposeOpsForInference(Optional&lt; String &gt; func_name)</div><div class="ttdoc">Decompose composite operators during inference. For example, The result of batch norm (a triple) will...</div></div>
-<div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_aa26d9a1b7b6b9b7bc575ad8edccb7ca7"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#aa26d9a1b7b6b9b7bc575ad8edccb7ca7">tvm::relax::transform::FoldConstant</a></div><div class="ttdeci">Pass FoldConstant()</div><div class="ttdoc">Fold constant expressions.</div></div>
+<div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_aa26d9a1b7b6b9b7bc575ad8edccb7ca7"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#aa26d9a1b7b6b9b7bc575ad8edccb7ca7">tvm::relax::transform::FoldConstant</a></div><div class="ttdeci">Pass FoldConstant()</div><div class="ttdoc">Fold constant expressions within dataflow blocks.</div></div>
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_aa697394f51af1181825cc5223746f18c"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#aa697394f51af1181825cc5223746f18c">tvm::relax::transform::CanonicalizeBindings</a></div><div class="ttdeci">Pass CanonicalizeBindings()</div><div class="ttdoc">Simplify a Relax module by folding var bindings and match shape nodes, as well as tuple indices....</div></div>
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_ab39386a8c6dad83320670e691e7a60c0"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#ab39386a8c6dad83320670e691e7a60c0">tvm::relax::transform::RewriteDataflowReshape</a></div><div class="ttdeci">Pass RewriteDataflowReshape()</div><div class="ttdoc">Convert all reshape-like call_tir whose corresponding binding vars are DataflowVars to relax....</div></div>
 <div class="ttc" id="anamespacetvm_1_1relax_1_1transform_html_abd2a4cad2b34af2121197ec3d9840128"><div class="ttname"><a href="namespacetvm_1_1relax_1_1transform.html#abd2a4cad2b34af2121197ec3d9840128">tvm::relax::transform::RunCodegen</a></div><div class="ttdeci">Pass RunCodegen(Optional&lt; Map&lt; String, Map&lt; String, ObjectRef &gt;&gt;&gt; target_options, Array&lt; runtime::String &gt; entry_functions)</div><div class="ttdoc">Run codegen.</div></div>
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index 731ac8dac0..1ec60a5351 100644
--- a/docs/reference/api/python/auto_scheduler.html
+++ b/docs/reference/api/python/auto_scheduler.html
@@ -1637,7 +1637,7 @@ history states as starting point to perform Evolutionary Search).</p></li>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.SketchPolicy">
-<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
 The policy randomly samples programs from the space defined by sketches and use evolutionary
 search to fine-tune them.</p>
@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
-<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
 <dd><p>THIS API IS DEPRECATED.</p>
 <p>Run auto scheduling search for a task.</p>
 <dl class="field-list simple">
diff --git a/docs/reference/api/typedoc/classes/ArtifactCache.html b/docs/reference/api/typedoc/classes/ArtifactCache.html
index 06bcbe4efe..a6cf186779 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">ArtifactCache</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -52,7 +52,7 @@
 <h5><span class="tsd-kind-parameter">scope</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="ArtifactCache.html" class="tsd-signature-type tsd-kind-class">ArtifactCache</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L995">runtime.ts:995</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L995">runtime.ts:995</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
@@ -67,7 +67,7 @@
 <h5><span class="tsd-kind-parameter">url</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L999">runtime.ts:999</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L999">runtime.ts:999</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -80,7 +80,7 @@
 <h5><span class="tsd-kind-parameter">keys</span>: <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1015">runtime.ts:1015</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1015">runtime.ts:1015</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index ca3c481d51..60981110ec 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L401">runtime.ts:401</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L401">runtime.ts:401</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
 <h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L409">runtime.ts:409</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L409">runtime.ts:409</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -71,21 +71,21 @@
 <div class="tsd-comment tsd-typography"><p>Number of bits in the data type.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L405">runtime.ts:405</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L405">runtime.ts:405</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The type code</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L403">runtime.ts:403</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L403">runtime.ts:403</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>Number of vector lanes.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L407">runtime.ts:407</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L407">runtime.ts:407</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L424">runtime.ts:424</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L424">runtime.ts:424</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -103,7 +103,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index a44ee3f219..39c05cf45d 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">DLDevice</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L341">runtime.ts:341</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L341">runtime.ts:341</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -61,7 +61,7 @@
 <h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L349">runtime.ts:349</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L349">runtime.ts:349</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
 <div class="tsd-comment tsd-typography"><p>The device index.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L345">runtime.ts:345</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L345">runtime.ts:345</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The device type code of the device.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L343">runtime.ts:343</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L343">runtime.ts:343</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L368">runtime.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L368">runtime.ts:368</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -97,7 +97,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L375">runtime.ts:375</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L375">runtime.ts:375</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index 1c5d6471c1..bd4a68c690 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -40,7 +40,7 @@ are not tracked through JS native garbage collection mechanism.</p>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -140,24 +140,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1045">runtime.ts:1045</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1045">runtime.ts:1045</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1044">runtime.ts:1044</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1044">runtime.ts:1044</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -218,7 +218,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1759">runtime.ts:1759</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1759">runtime.ts:1759</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -239,7 +239,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1789">runtime.ts:1789</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1789">runtime.ts:1789</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1947">runtime.ts:1947</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1947">runtime.ts:1947</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -283,7 +283,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -293,7 +293,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -328,7 +328,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1113">runtime.ts:1113</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1113">runtime.ts:1113</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -345,7 +345,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1797">runtime.ts:1797</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1797">runtime.ts:1797</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -355,7 +355,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1828">runtime.ts:1828</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1828">runtime.ts:1828</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -372,7 +372,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1657">runtime.ts:1657</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1657">runtime.ts:1657</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -390,7 +390,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -416,7 +416,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1649">runtime.ts:1649</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1649">runtime.ts:1649</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -451,7 +451,7 @@ only the first call will take effect.</p>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1134">runtime.ts:1134</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1134">runtime.ts:1134</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -477,7 +477,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -490,7 +490,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -516,7 +516,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1464">runtime.ts:1464</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1464">runtime.ts:1464</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -534,7 +534,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -555,7 +555,7 @@ a value to parent scope.</p>
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 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -573,7 +573,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -590,7 +590,7 @@ a value to parent scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L2012">runtime.ts:2012</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L2012">runtime.ts:2012</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -608,7 +608,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -619,7 +619,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1862">runtime.ts:1862</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1862">runtime.ts:1862</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -655,7 +655,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><p>The result TVMString.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -675,7 +675,7 @@ and needs to b explicitly disposed.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -700,7 +700,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -710,7 +710,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -728,7 +728,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1425">runtime.ts:1425</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1425">runtime.ts:1425</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -746,7 +746,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
 <h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -796,7 +796,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1920">runtime.ts:1920</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1920">runtime.ts:1920</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
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@@ -819,7 +819,7 @@ alive when exit the current scope.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
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 <ul class="tsd-signatures">
@@ -836,7 +836,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
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 <ul class="tsd-signatures">
@@ -861,7 +861,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1899">runtime.ts:1899</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -871,7 +871,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1749">runtime.ts:1749</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -919,7 +919,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1639">runtime.ts:1639</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1639">runtime.ts:1639</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -949,7 +949,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L2145">runtime.ts:2145</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L2145">runtime.ts:2145</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -966,7 +966,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1806">runtime.ts:1806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1806">runtime.ts:1806</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -978,7 +978,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -996,7 +996,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1593">runtime.ts:1593</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1593">runtime.ts:1593</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1014,7 +1014,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1032,7 +1032,7 @@ System lib is a global module that contains self register functions in startup.<
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1871">runtime.ts:1871</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1871">runtime.ts:1871</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1062,7 +1062,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1723">runtime.ts:1723</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1723">runtime.ts:1723</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1079,7 +1079,7 @@ System lib is a global module that contains self register functions in startup.<
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 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1665">runtime.ts:1665</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1665">runtime.ts:1665</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1112,7 +1112,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 50fb13fbad..17f0cc2723 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L689">runtime.ts:689</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L689">runtime.ts:689</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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 <h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L694">runtime.ts:694</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L694">runtime.ts:694</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -88,7 +88,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L704">runtime.ts:704</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L704">runtime.ts:704</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L732">runtime.ts:732</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L732">runtime.ts:732</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -128,7 +128,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L719">runtime.ts:719</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L719">runtime.ts:719</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L766">runtime.ts:766</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index ca465a14e6..07ad47e5c4 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L432">runtime.ts:432</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L438">runtime.ts:438</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L438">runtime.ts:438</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L444">runtime.ts:444</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L444">runtime.ts:444</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L436">runtime.ts:436</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L436">runtime.ts:436</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
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 <div class="tsd-comment tsd-typography"><p>Shape of the array.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L440">runtime.ts:440</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L440">runtime.ts:440</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -134,7 +134,7 @@ The number of elements must match.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L552">runtime.ts:552</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L552">runtime.ts:552</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -152,7 +152,7 @@ The number of elements must match.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L596">runtime.ts:596</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L596">runtime.ts:596</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -165,7 +165,7 @@ only the first call will take effect.</p>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L537">runtime.ts:537</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L537">runtime.ts:537</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -176,7 +176,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L530">runtime.ts:530</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L530">runtime.ts:530</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -194,7 +194,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L518">runtime.ts:518</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L518">runtime.ts:518</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L662">runtime.ts:662</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L662">runtime.ts:662</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L631">runtime.ts:631</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L631">runtime.ts:631</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -235,7 +235,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L507">runtime.ts:507</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 0a5e6913ee..7917b3aa21 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
@@ -23,7 +23,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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 <h4 class="tsd-returns-title">Returns <a href="RPCServer.html" class="tsd-signature-type tsd-kind-class">RPCServer</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -113,12 +113,12 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="key" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="socket" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">socket</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">WebSocket</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 61c70a326f..2843ccda98 100644
--- a/docs/reference/api/typedoc/classes/Scalar.html
+++ b/docs/reference/api/typedoc/classes/Scalar.html
@@ -24,7 +24,7 @@ argument to PackedFunc calls.</p>
 <ul class="tsd-hierarchy">
 <li><span class="target">Scalar</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L279">runtime.ts:279</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L279">runtime.ts:279</a></li></ul></aside>
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
 <h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L285">runtime.ts:285</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L285">runtime.ts:285</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
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 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L283">runtime.ts:283</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L283">runtime.ts:283</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The value.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L281">runtime.ts:281</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L281">runtime.ts:281</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 85fd927556..7cda370899 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
+++ b/docs/reference/api/typedoc/classes/TVMArray.html
@@ -25,7 +25,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L863">runtime.ts:863</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L863">runtime.ts:863</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
 <h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><aside class="tsd-sources">
 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/_internal_.TVMObjectBase.html" class="tsd-signature-type tsd-kind-type-alias">TVMObjectBase</a></h4><p>The element.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L883">runtime.ts:883</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L883">runtime.ts:883</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>the size of the array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -147,7 +147,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index 2d25bee806..8ca2c2a6d9 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -30,7 +30,7 @@
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L779">runtime.ts:779</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L779">runtime.ts:779</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -65,7 +65,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L784">runtime.ts:784</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L784">runtime.ts:784</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -98,7 +98,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -108,7 +108,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index e3a2fefb72..fbc9644cf1 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L918">runtime.ts:918</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L918">runtime.ts:918</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -68,7 +68,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L925">runtime.ts:925</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L925">runtime.ts:925</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L938">runtime.ts:938</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L938">runtime.ts:938</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L946">runtime.ts:946</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L946">runtime.ts:946</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L953">runtime.ts:953</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L953">runtime.ts:953</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index c632f4693a..f6181cee10 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -86,7 +86,7 @@ can still call into storeXX</li>
 <h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
 <div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="allocPtrArray" class="tsd-anchor"></a>
@@ -115,7 +115,7 @@ can still call into storeXX</li>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The allocated pointer array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -156,7 +156,7 @@ Allocate new temporary space for bytes.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -199,7 +199,7 @@ No further store function should be called.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L267">memory.ts:267</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L267">memory.ts:267</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -212,7 +212,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="reset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>reset</span><a href="#reset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -240,7 +240,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -285,7 +285,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -300,7 +300,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L364">memory.ts:364</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L364">memory.ts:364</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeU32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>U32</span><a href="#storeU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -330,7 +330,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L346">memory.ts:346</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L346">memory.ts:346</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeUSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>storeUSize</span><a href="#storeUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -345,7 +345,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index cac7269d18..4bf8b2c187 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
@@ -29,7 +29,7 @@ which needs to be explicitly disposed.</p>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@ which needs to be explicitly disposed.</p>
 <h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L167">webgpu.ts:167</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L167">webgpu.ts:167</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="clear" class="tsd-anchor"></a>
@@ -71,7 +71,7 @@ which needs to be explicitly disposed.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L241">webgpu.ts:241</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L241">webgpu.ts:241</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -84,7 +84,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L317">webgpu.ts:317</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L317">webgpu.ts:317</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="draw" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw</span><a href="#draw" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">width</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L267">webgpu.ts:267</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L267">webgpu.ts:267</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index ed2d5b6655..5a799a5ca6 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L88">environment.ts:88</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L88">environment.ts:88</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="imports" class="tsd-anchor"></a>
@@ -86,7 +86,7 @@
 </div><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#imports">imports</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> =&gt; </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -104,7 +104,7 @@
 <h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="packedCFuncTable" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table</span><a href="#packedCFuncTable" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table</span><span class="tsd-signature-symbol">:</span> <a href="../types/_internal_.FTVMWasmPackedCFunc.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmPackedCFunc</a><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = ...</span></div>
@@ -114,14 +114,14 @@ can call via TVMWasmPackedCFunc.</p>
 of functions that do not maps to the address space.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="packedCFuncTableFreeId" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><a href="#packedCFuncTableFreeId" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = []</span></div>
 <div class="tsd-comment tsd-typography"><p>Free table index that can be recycled.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L84">environment.ts:84</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L84">environment.ts:84</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
@@ -139,7 +139,7 @@ of functions that do not maps to the address space.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#start">start</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/environment.ts#L105">environment.ts:105</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/environment.ts#L105">environment.ts:105</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
index 63e896b3ee..40babdb4a5 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L51">runtime.ts:51</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L51">runtime.ts:51</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -106,7 +106,7 @@
 <h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L77">runtime.ts:77</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L77">runtime.ts:77</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L66">runtime.ts:66</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L66">runtime.ts:66</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -127,7 +127,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -140,7 +140,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L97">runtime.ts:97</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L97">runtime.ts:97</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -148,7 +148,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index 5a2c06c248..326ad20725 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,19 +70,19 @@
 <h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L42">memory.ts:42</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L42">memory.ts:42</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Memory</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="loadCString" class="tsd-anchor"></a>
@@ -101,7 +101,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L154">memory.ts:154</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L154">memory.ts:154</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadF32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>F32</span><a href="#loadF32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -114,7 +114,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L90">memory.ts:90</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L90">memory.ts:90</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>F64</span><a href="#loadF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -127,7 +127,7 @@
 <h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadI32" class="tsd-anchor"></a>
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@@ -140,7 +140,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
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@@ -153,7 +153,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -166,7 +166,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -187,7 +187,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -204,7 +204,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
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@@ -217,7 +217,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U32</span><a href="#loadU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -230,7 +230,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -243,7 +243,7 @@
 <h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -264,7 +264,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -285,7 +285,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index e81f0ef208..a4c7c6dc46 100644
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+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L294">runtime.ts:294</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L294">runtime.ts:294</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L298">runtime.ts:298</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L298">runtime.ts:298</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
@@ -219,7 +219,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L237">runtime.ts:237</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L237">runtime.ts:237</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -227,7 +227,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L211">runtime.ts:211</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L211">runtime.ts:211</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -245,7 +245,7 @@
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -258,7 +258,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L188">runtime.ts:188</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L188">runtime.ts:188</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -266,7 +266,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L215">runtime.ts:215</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L215">runtime.ts:215</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -284,7 +284,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L246">runtime.ts:246</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L246">runtime.ts:246</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index bf6fe18d62..0362438034 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L889">runtime.ts:889</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L889">runtime.ts:889</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
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 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -97,7 +97,7 @@ only the first call will take effect.</p>
 <aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -107,7 +107,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><p>the size of the array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 412055c1dd..b799cfe3d8 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -25,7 +25,7 @@ Manages all the webgpu resources here.</p>
 <ul class="tsd-hierarchy">
 <li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
 <h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L444">webgpu.ts:444</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L444">webgpu.ts:444</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L436">webgpu.ts:436</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L436">webgpu.ts:436</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L418">webgpu.ts:418</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L418">webgpu.ts:418</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -160,7 +160,7 @@ via createComputePipeline</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The shader</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L456">webgpu.ts:456</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L456">webgpu.ts:456</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L390">webgpu.ts:390</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L383">webgpu.ts:383</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ReceivePacketHeader" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L2441">runtime.ts:2441</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L2427">runtime.ts:2427</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
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index f69bc36af7..3edfbe5738 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="adapterInfo" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">adapter<wbr/>Info</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUAdapterInfo</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/InitProgressReport.html b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
index 6eb0bf1238..1f99ade128 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L981">runtime.ts:981</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
index 19f88b718b..58a733b77f 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
index 4422fd7000..004978a36d 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L325">webgpu.ts:325</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/webgpu.ts#L328">webgpu.ts:328</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L328">webgpu.ts:328</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/webgpu.ts#L326">webgpu.ts:326</a></li></ul></aside></section></section></div>
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index 120cd57797..930e9d5965 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L968">runtime.ts:968</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L968">runtime.ts:968</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/8da3de152/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/6a2459f18/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
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diff --git a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
index a23a6cb09c..b113ebdf23 100644
--- a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
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 <span id="sphx-glr-topic-vta-tutorials-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:33.602</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
+<p><strong>00:33.505</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 82%" />
@@ -369,7 +369,7 @@
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 <tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-relay-vta-py"><span class="std std-ref">Auto-tuning a convolutional network on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_vta.py</span></code>)</p></td>
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+<td><p>00:33.498</p></td>
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diff --git a/docs/topic/vta/tutorials/frontend/deploy_classification.html b/docs/topic/vta/tutorials/frontend/deploy_classification.html
index 63338edac0..1c671c8fc3 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_classification.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_classification.html
@@ -603,7 +603,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
   warnings.warn(
 /workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the  new recommended usage.
   graph, lib, params = relay.build(
-resnet18_v1 inference graph built in 35.41s!
+resnet18_v1 inference graph built in 35.50s!
 </pre></div>
 </div>
 </div>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index 6a7e64e862..9fcc5aa3e6 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -621,7 +621,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/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 24.22s!
+yolov3-tiny inference graph built in 24.33s!
 </pre></div>
 </div>
 </div>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index 2d1dcf30c7..e8e74354e3 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:52.106</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:52.008</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></td>
-<td><p>00:56.579</p></td>
+<td><p>00:56.424</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></td>
-<td><p>00:55.527</p></td>
+<td><p>00:55.583</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/topic/vta/tutorials/optimize/sg_execution_times.html b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
index ce695e3604..f477b671a6 100644
--- a/docs/topic/vta/tutorials/optimize/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
@@ -360,7 +360,7 @@
             
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 <span id="sphx-glr-topic-vta-tutorials-optimize-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.143</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.141</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="convolution_opt.html#sphx-glr-topic-vta-tutorials-optimize-convolution-opt-py"><span class="std std-ref">2D Convolution Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">convolution_opt.py</span></code>)</p></td>
-<td><p>00:02.676</p></td>
+<td><p>00:02.686</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="matrix_multiply_opt.html#sphx-glr-topic-vta-tutorials-optimize-matrix-multiply-opt-py"><span class="std std-ref">Matrix Multiply Blocking</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply_opt.py</span></code>)</p></td>
-<td><p>00:00.466</p></td>
+<td><p>00:00.455</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/topic/vta/tutorials/sg_execution_times.html b/docs/topic/vta/tutorials/sg_execution_times.html
index 8a35eea036..916136cd2b 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:00.776</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.743</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 81%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="matrix_multiply.html#sphx-glr-topic-vta-tutorials-matrix-multiply-py"><span class="std std-ref">Simple Matrix Multiply</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply.py</span></code>)</p></td>
-<td><p>00:00.397</p></td>
+<td><p>00:00.382</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="vta_get_started.html#sphx-glr-topic-vta-tutorials-vta-get-started-py"><span class="std std-ref">Get Started with VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">vta_get_started.py</span></code>)</p></td>
-<td><p>00:00.379</p></td>
+<td><p>00:00.361</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/tutorial/auto_scheduler_matmul_x86.html b/docs/tutorial/auto_scheduler_matmul_x86.html
index 07151bda2f..3e780ddb97 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -512,6 +512,9 @@ trials, we can load the best schedule from the log file and apply it.</p>
 <a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">sch</span></a><span class="p">,</span> <a href="../reference/api/python/ir.html#tvm.ir.Array" title="tvm.ir.Array" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">args</span></a> <span class="o">=</span> <a href="../reference/api/pyth [...]
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>*E
+</pre></div>
+</div>
 </div>
 <div class="section" id="inspecting-the-optimized-schedule">
 <h2>Inspecting the Optimized Schedule<a class="headerlink" href="#inspecting-the-optimized-schedule" title="Permalink to this headline">¶</a></h2>
@@ -589,7 +592,7 @@ 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: 91.959 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 90.606 ms
 </pre></div>
 </div>
 </div>
@@ -661,7 +664,7 @@ automatically optimize a matrix multiplication, without the need to specify a
 search template.  It ends a series of examples that starts from the Tensor
 Expression (TE) language that demonstrates how TVM can optimize computational
 operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  15.774 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.153 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-auto-scheduler-matmul-x86-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/eac4389b114db015e95cb3cdf8b86b83/auto_scheduler_matmul_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">auto_scheduler_matmul_x86.py</span></code></a></p>
diff --git a/docs/tutorial/autotvm_matmul_x86.html b/docs/tutorial/autotvm_matmul_x86.html
index cfc69779e8..1457a3995b 100644
--- a/docs/tutorial/autotvm_matmul_x86.html
+++ b/docs/tutorial/autotvm_matmul_x86.html
@@ -700,16 +700,16 @@ reduce variance, we take 5 measurements and average them.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>waiting for device...
 device available
 Get devices for measurement successfully!
-No: 1   GFLOPS: 12.01/12.01     result: MeasureResult(costs=(0.022349273,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.659130334854126, timestamp=1707251980.6884065) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 256])],None,87
-No: 2   GFLOPS: 10.84/12.01     result: MeasureResult(costs=(0.0247642228,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7075984477996826, timestamp=1707251981.3369434)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 64])],None,63
-No: 3   GFLOPS: 9.23/12.01      result: MeasureResult(costs=(0.029086082599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7245602607727051, timestamp=1707251982.0524547)       [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 16])],None,47
-No: 4   GFLOPS: 3.79/12.01      result: MeasureResult(costs=(0.0709116536,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.40608811378479, timestamp=1707251983.439668)  [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 8])],None,36
-No: 5   GFLOPS: 15.85/15.85     result: MeasureResult(costs=(0.016934177,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5429353713989258, timestamp=1707251984.1079264)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 128])],None,74
-No: 6   GFLOPS: 7.40/15.85      result: MeasureResult(costs=(0.0362719508,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8505444526672363, timestamp=1707251984.9404986)       [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 16])],None,45
-No: 7   GFLOPS: 10.73/15.85     result: MeasureResult(costs=(0.025020942600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6779451370239258, timestamp=1707251985.5953088)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 32])],None,53
-No: 8   GFLOPS: 2.87/15.85      result: MeasureResult(costs=(0.0936806622,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7517869472503662, timestamp=1707251987.3460512)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 2])],None,14
-No: 9   GFLOPS: 14.56/15.85     result: MeasureResult(costs=(0.0184411368,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5305037498474121, timestamp=1707251987.9853735)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 32])],None,54
-No: 10  GFLOPS: 7.67/15.85      result: MeasureResult(costs=(0.034979457000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7890536785125732, timestamp=1707251988.7997286)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 8])],None,30
+No: 1   GFLOPS: 13.71/13.71     result: MeasureResult(costs=(0.019573235,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6723062992095947, timestamp=1707263534.1188807)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 128])],None,78
+No: 2   GFLOPS: 13.23/13.71     result: MeasureResult(costs=(0.0202865412,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.573357343673706, timestamp=1707263534.7018228)        [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 512])],None,92
+No: 3   GFLOPS: 10.34/13.71     result: MeasureResult(costs=(0.025948416800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7822606563568115, timestamp=1707263535.3726528)       [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 128])],None,71
+No: 4   GFLOPS: 2.09/13.71      result: MeasureResult(costs=(0.12827855019999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3100664615631104, timestamp=1707263537.6767972)        [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 4])],None,26
+No: 5   GFLOPS: 11.78/13.71     result: MeasureResult(costs=(0.022783404,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6156320571899414, timestamp=1707263538.4118404)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 512])],None,98
+No: 6   GFLOPS: 8.98/13.71      result: MeasureResult(costs=(0.029894550199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7261092662811279, timestamp=1707263539.1426377)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 8])],None,33
+No: 7   GFLOPS: 11.60/13.71     result: MeasureResult(costs=(0.023149937399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6123092174530029, timestamp=1707263539.7727773)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 512])],None,90
+No: 8   GFLOPS: 7.78/13.71      result: MeasureResult(costs=(0.0345130466,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7957713603973389, timestamp=1707263540.5818377)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 16])],None,40
+No: 9   GFLOPS: 2.91/13.71      result: MeasureResult(costs=(0.0921871296,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.690399169921875, timestamp=1707263542.3806648)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 2])],None,14
+No: 10  GFLOPS: 8.32/13.71      result: MeasureResult(costs=(0.0322723588,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7275216579437256, timestamp=1707263543.1527183)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 8])],None,30
 </pre></div>
 </div>
 <p>With tuning completed, we can choose the configuration from the log file that
diff --git a/docs/tutorial/autotvm_relay_x86.html b/docs/tutorial/autotvm_relay_x86.html
index a39baab8ff..ea42606f1e 100644
--- a/docs/tutorial/autotvm_relay_x86.html
+++ b/docs/tutorial/autotvm_relay_x86.html
@@ -578,7 +578,7 @@ standard deviation.</p>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">unoptimized</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 466.6729065099753, &#39;median&#39;: 467.2305023000263, &#39;std&#39;: 1.5609685869372476}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 465.34984752004675, &#39;median&#39;: 464.9661258499691, &#39;std&#39;: 2.0017473112177266}
 </pre></div>
 </div>
 </div>
@@ -767,178 +767,178 @@ depending on the specifics of the model and the target platform.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  1/25]  Current/Best:   23.92/  23.92 GFLOPS | Progress: (4/20) | 8.17 s
-[Task  1/25]  Current/Best:   21.22/  23.92 GFLOPS | Progress: (8/20) | 10.42 s
-[Task  1/25]  Current/Best:   14.28/  24.41 GFLOPS | Progress: (12/20) | 13.87 s
-[Task  1/25]  Current/Best:   13.02/  24.41 GFLOPS | Progress: (16/20) | 17.22 s
-[Task  1/25]  Current/Best:   10.48/  24.41 GFLOPS | Progress: (20/20) | 21.10 s Done.
+[Task  1/25]  Current/Best:    6.69/  15.13 GFLOPS | Progress: (4/20) | 8.35 s
+[Task  1/25]  Current/Best:   17.67/  18.72 GFLOPS | Progress: (8/20) | 10.97 s
+[Task  1/25]  Current/Best:    3.54/  24.70 GFLOPS | Progress: (12/20) | 14.54 s
+[Task  1/25]  Current/Best:   13.04/  24.70 GFLOPS | Progress: (16/20) | 17.84 s
+[Task  1/25]  Current/Best:   11.48/  24.70 GFLOPS | Progress: (20/20) | 20.27 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   11.66/  17.11 GFLOPS | Progress: (4/20) | 4.04 s
-[Task  2/25]  Current/Best:   14.22/  18.12 GFLOPS | Progress: (8/20) | 5.62 s
-[Task  2/25]  Current/Best:   23.99/  23.99 GFLOPS | Progress: (12/20) | 7.06 s
-[Task  2/25]  Current/Best:   14.21/  23.99 GFLOPS | Progress: (16/20) | 8.54 s
-[Task  2/25]  Current/Best:    3.49/  23.99 GFLOPS | Progress: (20/20) | 9.97 s Done.
+[Task  2/25]  Current/Best:   20.89/  20.89 GFLOPS | Progress: (4/20) | 3.90 s
+[Task  2/25]  Current/Best:   20.74/  22.32 GFLOPS | Progress: (8/20) | 5.20 s
+[Task  2/25]  Current/Best:   11.00/  22.32 GFLOPS | Progress: (12/20) | 6.68 s
+[Task  2/25]  Current/Best:   14.10/  22.61 GFLOPS | Progress: (16/20) | 8.16 s
+[Task  2/25]  Current/Best:   18.45/  22.61 GFLOPS | Progress: (20/20) | 9.82 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   13.43/  15.87 GFLOPS | Progress: (4/20) | 5.40 s
-[Task  3/25]  Current/Best:   10.51/  21.14 GFLOPS | Progress: (8/20) | 8.32 s
-[Task  3/25]  Current/Best:   14.25/  21.57 GFLOPS | Progress: (12/20) | 10.24 s
-[Task  3/25]  Current/Best:   19.60/  21.57 GFLOPS | Progress: (16/20) | 12.59 s
-[Task  3/25]  Current/Best:    6.63/  21.57 GFLOPS | Progress: (20/20) | 15.12 s Done.
+[Task  3/25]  Current/Best:    7.91/  17.92 GFLOPS | Progress: (4/20) | 5.02 s
+[Task  3/25]  Current/Best:    6.36/  17.92 GFLOPS | Progress: (8/20) | 8.88 s
+[Task  3/25]  Current/Best:   20.12/  20.91 GFLOPS | Progress: (12/20) | 11.27 s
+[Task  3/25]  Current/Best:    8.62/  20.93 GFLOPS | Progress: (16/20) | 16.21 s
+[Task  3/25]  Current/Best:   20.03/  20.93 GFLOPS | Progress: (20/20) | 18.67 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:   15.09/  15.09 GFLOPS | Progress: (4/20) | 8.27 s
-[Task  4/25]  Current/Best:   12.51/  15.09 GFLOPS | Progress: (8/20) | 13.01 s
-[Task  4/25]  Current/Best:   10.02/  19.99 GFLOPS | Progress: (12/20) | 17.18 s
-[Task  4/25]  Current/Best:   10.73/  19.99 GFLOPS | Progress: (16/20) | 20.99 s
-[Task  4/25]  Current/Best:   20.52/  20.52 GFLOPS | Progress: (20/20) | 23.23 s Done.
+[Task  4/25]  Current/Best:   17.95/  17.95 GFLOPS | Progress: (4/20) | 5.33 s
+[Task  4/25]  Current/Best:    6.44/  17.95 GFLOPS | Progress: (8/20) | 7.24 s
+[Task  4/25]  Current/Best:   21.02/  21.90 GFLOPS | Progress: (12/20) | 8.80 s
+[Task  4/25]  Current/Best:   13.21/  21.90 GFLOPS | Progress: (16/20) | 10.88 s
+[Task  4/25]  Current/Best:   13.13/  21.90 GFLOPS | Progress: (20/20) | 13.20 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:   14.90/  18.04 GFLOPS | Progress: (4/20) | 4.19 s
-[Task  5/25]  Current/Best:    9.56/  21.93 GFLOPS | Progress: (8/20) | 6.15 s
-[Task  5/25]  Current/Best:    6.94/  21.93 GFLOPS | Progress: (12/20) | 8.43 s
-[Task  5/25]  Current/Best:    2.77/  21.93 GFLOPS | Progress: (16/20) | 10.95 s
-[Task  5/25]  Current/Best:   18.34/  21.93 GFLOPS | Progress: (20/20) | 12.68 s Done.
+[Task  5/25]  Current/Best:   15.77/  15.77 GFLOPS | Progress: (4/20) | 4.17 s
+[Task  5/25]  Current/Best:   13.75/  22.35 GFLOPS | Progress: (8/20) | 5.99 s
+[Task  5/25]  Current/Best:   17.80/  22.35 GFLOPS | Progress: (12/20) | 8.74 s
+[Task  5/25]  Current/Best:   22.46/  22.46 GFLOPS | Progress: (16/20) | 10.97 s
+[Task  5/25]  Current/Best:    5.75/  22.46 GFLOPS | Progress: (20/20) | 13.25 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:    9.06/  14.61 GFLOPS | Progress: (4/20) | 4.99 s
-[Task  6/25]  Current/Best:    4.57/  19.59 GFLOPS | Progress: (8/20) | 7.62 s
-[Task  6/25]  Current/Best:   13.41/  19.59 GFLOPS | Progress: (12/20) | 12.53 s
-[Task  6/25]  Current/Best:    3.77/  19.59 GFLOPS | Progress: (16/20) | 16.55 s
-[Task  6/25]  Current/Best:   18.58/  20.42 GFLOPS | Progress: (20/20) | 20.71 s Done.
+[Task  6/25]  Current/Best:   10.66/  16.62 GFLOPS | Progress: (4/20) | 5.22 s
+[Task  6/25]  Current/Best:   12.34/  20.76 GFLOPS | Progress: (8/20) | 8.29 s
+[Task  6/25]  Current/Best:   23.50/  23.50 GFLOPS | Progress: (12/20) | 10.73 s
+[Task  6/25]  Current/Best:   10.18/  23.50 GFLOPS | Progress: (16/20) | 13.41 s
+[Task  6/25]  Current/Best:   15.09/  23.50 GFLOPS | Progress: (20/20) | 15.91 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:   20.44/  20.44 GFLOPS | Progress: (4/20) | 5.88 s
-[Task  7/25]  Current/Best:   20.12/  22.51 GFLOPS | Progress: (8/20) | 8.39 s
-[Task  7/25]  Current/Best:    8.67/  22.58 GFLOPS | Progress: (12/20) | 10.47 s
-[Task  7/25]  Current/Best:   19.20/  24.03 GFLOPS | Progress: (16/20) | 12.35 s
-[Task  7/25]  Current/Best:   20.27/  24.03 GFLOPS | Progress: (20/20) | 14.32 s Done.
+[Task  7/25]  Current/Best:    5.18/  19.55 GFLOPS | Progress: (4/20) | 4.76 s
+[Task  7/25]  Current/Best:   15.34/  19.55 GFLOPS | Progress: (8/20) | 7.67 s
+[Task  7/25]  Current/Best:    3.25/  19.55 GFLOPS | Progress: (12/20) | 10.80 s
+[Task  7/25]  Current/Best:   18.56/  19.55 GFLOPS | Progress: (16/20) | 12.90 s
+[Task  7/25]  Current/Best:   16.91/  19.55 GFLOPS | Progress: (20/20) | 15.73 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:   22.76/  22.76 GFLOPS | Progress: (4/20) | 5.42 s
-[Task  8/25]  Current/Best:   11.67/  22.76 GFLOPS | Progress: (8/20) | 16.86 s
-[Task  8/25]  Current/Best:   12.68/  22.76 GFLOPS | Progress: (12/20) | 29.25 s
-[Task  8/25]  Current/Best:   12.44/  22.76 GFLOPS | Progress: (16/20) | 34.97 s
-[Task  8/25]  Current/Best:   14.00/  22.76 GFLOPS | Progress: (20/20) | 37.51 s
+[Task  8/25]  Current/Best:   15.09/  15.09 GFLOPS | Progress: (4/20) | 8.50 s
+[Task  8/25]  Current/Best:   19.31/  19.31 GFLOPS | Progress: (8/20) | 14.51 s
+[Task  8/25]  Current/Best:   12.03/  19.31 GFLOPS | Progress: (12/20) | 20.11 s
+[Task  8/25]  Current/Best:   14.39/  19.31 GFLOPS | Progress: (16/20) | 23.29 s
+[Task  8/25]  Current/Best:   11.97/  20.61 GFLOPS | Progress: (20/20) | 25.85 s Done.
+
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:   18.28/  19.46 GFLOPS | Progress: (4/20) | 4.90 s
-[Task  9/25]  Current/Best:   13.16/  19.46 GFLOPS | Progress: (8/20) | 7.57 s
-[Task  9/25]  Current/Best:    9.71/  19.46 GFLOPS | Progress: (12/20) | 9.45 s
-[Task  9/25]  Current/Best:   24.51/  24.51 GFLOPS | Progress: (16/20) | 11.63 s
-[Task  9/25]  Current/Best:   12.32/  24.51 GFLOPS | Progress: (20/20) | 15.82 s Done.
+[Task  9/25]  Current/Best:   16.72/  18.28 GFLOPS | Progress: (4/20) | 7.77 s
+[Task  9/25]  Current/Best:   13.30/  18.28 GFLOPS | Progress: (8/20) | 13.04 s
+[Task  9/25]  Current/Best:   16.56/  18.28 GFLOPS | Progress: (12/20) | 17.96 s
+[Task  9/25]  Current/Best:    6.94/  18.28 GFLOPS | Progress: (16/20) | 23.40 s
+[Task  9/25]  Current/Best:    6.35/  18.28 GFLOPS | Progress: (20/20) | 26.40 s Done.
 
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   16.12/  16.12 GFLOPS | Progress: (4/20) | 4.57 s
-[Task 10/25]  Current/Best:    5.97/  16.12 GFLOPS | Progress: (8/20) | 6.65 s
-[Task 10/25]  Current/Best:    3.33/  18.27 GFLOPS | Progress: (12/20) | 8.74 s
-[Task 10/25]  Current/Best:   12.12/  18.27 GFLOPS | Progress: (16/20) | 10.95 s
-[Task 10/25]  Current/Best:    6.16/  19.82 GFLOPS | Progress: (20/20) | 12.85 s Done.
+[Task 10/25]  Current/Best:   13.57/  16.23 GFLOPS | Progress: (4/20) | 4.49 s
+[Task 10/25]  Current/Best:   16.01/  18.83 GFLOPS | Progress: (8/20) | 6.85 s
+[Task 10/25]  Current/Best:   14.46/  18.83 GFLOPS | Progress: (12/20) | 8.88 s
+[Task 10/25]  Current/Best:    7.32/  18.83 GFLOPS | Progress: (16/20) | 11.03 s
+[Task 10/25]  Current/Best:    8.76/  18.83 GFLOPS | Progress: (20/20) | 12.67 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:   20.79/  22.33 GFLOPS | Progress: (4/20) | 4.53 s
-[Task 11/25]  Current/Best:    6.44/  23.39 GFLOPS | Progress: (8/20) | 6.62 s
-[Task 11/25]  Current/Best:   16.27/  23.39 GFLOPS | Progress: (12/20) | 8.94 s
-[Task 11/25]  Current/Best:   12.22/  23.39 GFLOPS | Progress: (16/20) | 11.21 s
-[Task 11/25]  Current/Best:    6.41/  23.39 GFLOPS | Progress: (20/20) | 13.50 s Done.
+[Task 11/25]  Current/Best:   10.11/  19.73 GFLOPS | Progress: (4/20) | 6.58 s
+[Task 11/25]  Current/Best:    6.35/  20.65 GFLOPS | Progress: (8/20) | 10.27 s
+[Task 11/25]  Current/Best:   10.91/  20.65 GFLOPS | Progress: (12/20) | 13.52 s
+[Task 11/25]  Current/Best:   13.24/  20.65 GFLOPS | Progress: (16/20) | 16.35 s
+[Task 11/25]  Current/Best:    6.35/  21.31 GFLOPS | Progress: (20/20) | 18.48 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   15.34/  15.34 GFLOPS | Progress: (4/20) | 7.62 s
-[Task 12/25]  Current/Best:   14.56/  15.34 GFLOPS | Progress: (8/20) | 11.00 s
-[Task 12/25]  Current/Best:   13.97/  16.50 GFLOPS | Progress: (12/20) | 13.51 s
-[Task 12/25]  Current/Best:   11.83/  17.43 GFLOPS | Progress: (16/20) | 17.91 s
-[Task 12/25]  Current/Best:    9.23/  17.43 GFLOPS | Progress: (20/20) | 27.34 s Done.
+[Task 12/25]  Current/Best:   12.67/  15.71 GFLOPS | Progress: (4/20) | 7.15 s
+[Task 12/25]  Current/Best:    4.17/  15.71 GFLOPS | Progress: (8/20) | 12.33 s
+[Task 12/25]  Current/Best:    3.59/  18.47 GFLOPS | Progress: (12/20) | 15.14 s
+[Task 12/25]  Current/Best:    5.06/  18.47 GFLOPS | Progress: (16/20) | 18.21 s
+[Task 12/25]  Current/Best:   12.64/  18.47 GFLOPS | Progress: (20/20) | 23.68 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   19.24/  19.24 GFLOPS | Progress: (4/20) | 4.83 s
-[Task 13/25]  Current/Best:   20.58/  20.58 GFLOPS | Progress: (8/20) | 7.32 s
-[Task 13/25]  Current/Best:    5.54/  20.58 GFLOPS | Progress: (12/20) | 10.12 s
-[Task 13/25]  Current/Best:   18.41/  20.58 GFLOPS | Progress: (16/20) | 13.65 s
-[Task 13/25]  Current/Best:    6.58/  20.58 GFLOPS | Progress: (20/20) | 17.57 s Done.
+[Task 13/25]  Current/Best:   14.51/  20.78 GFLOPS | Progress: (4/20) | 4.57 s
+[Task 13/25]  Current/Best:   19.94/  20.78 GFLOPS | Progress: (8/20) | 7.08 s
+[Task 13/25]  Current/Best:    6.78/  23.04 GFLOPS | Progress: (12/20) | 10.92 s
+[Task 13/25]  Current/Best:   17.12/  23.64 GFLOPS | Progress: (16/20) | 13.81 s
+[Task 13/25]  Current/Best:   21.61/  23.64 GFLOPS | Progress: (20/20) | 16.32 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:   14.06/  14.06 GFLOPS | Progress: (4/20) | 14.90 s
-[Task 14/25]  Current/Best:   22.85/  22.85 GFLOPS | Progress: (8/20) | 19.15 s
-[Task 14/25]  Current/Best:    9.58/  22.85 GFLOPS | Progress: (12/20) | 22.54 s
-[Task 14/25]  Current/Best:    5.44/  22.85 GFLOPS | Progress: (16/20) | 25.20 s
-[Task 14/25]  Current/Best:   17.82/  22.85 GFLOPS | Progress: (20/20) | 29.51 s
-[Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:   12.75/  21.17 GFLOPS | Progress: (4/20) | 6.29 s
-[Task 15/25]  Current/Best:    8.76/  24.08 GFLOPS | Progress: (8/20) | 17.33 s Done.
- Done.
+[Task 14/25]  Current/Best:   14.08/  16.66 GFLOPS | Progress: (4/20) | 5.48 s
+[Task 14/25]  Current/Best:   13.34/  16.66 GFLOPS | Progress: (8/20) | 8.97 s
+[Task 14/25]  Current/Best:   14.55/  16.66 GFLOPS | Progress: (12/20) | 14.77 s
+[Task 14/25]  Current/Best:   14.76/  16.66 GFLOPS | Progress: (16/20) | 17.26 s
+[Task 14/25]  Current/Best:   14.27/  16.66 GFLOPS | Progress: (20/20) | 20.80 s Done.
 
-[Task 15/25]  Current/Best:    6.37/  24.08 GFLOPS | Progress: (12/20) | 22.73 s
-[Task 15/25]  Current/Best:   14.42/  24.08 GFLOPS | Progress: (16/20) | 30.90 s
-[Task 15/25]  Current/Best:   19.94/  24.08 GFLOPS | Progress: (20/20) | 33.00 s Done.
+[Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 15/25]  Current/Best:   22.60/  22.60 GFLOPS | Progress: (4/20) | 3.98 s
+[Task 15/25]  Current/Best:   21.24/  22.60 GFLOPS | Progress: (8/20) | 5.92 s
+[Task 15/25]  Current/Best:   20.43/  22.60 GFLOPS | Progress: (12/20) | 7.98 s
+[Task 15/25]  Current/Best:   10.00/  22.60 GFLOPS | Progress: (16/20) | 19.29 s
+[Task 15/25]  Current/Best:   15.25/  22.60 GFLOPS | Progress: (20/20) | 21.42 s Done.
 
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   19.30/  19.30 GFLOPS | Progress: (4/20) | 5.60 s
-[Task 16/25]  Current/Best:    5.11/  20.88 GFLOPS | Progress: (8/20) | 7.39 s
-[Task 16/25]  Current/Best:   19.39/  22.37 GFLOPS | Progress: (12/20) | 8.85 s
-[Task 16/25]  Current/Best:   19.26/  22.49 GFLOPS | Progress: (16/20) | 10.28 s
-[Task 16/25]  Current/Best:   11.42/  22.49 GFLOPS | Progress: (20/20) | 13.05 s Done.
+[Task 16/25]  Current/Best:   17.35/  21.76 GFLOPS | Progress: (4/20) | 4.16 s
+[Task 16/25]  Current/Best:    9.30/  21.76 GFLOPS | Progress: (8/20) | 5.83 s
+[Task 16/25]  Current/Best:   18.70/  21.76 GFLOPS | Progress: (12/20) | 7.63 s
+[Task 16/25]  Current/Best:   11.40/  21.76 GFLOPS | Progress: (16/20) | 11.07 s
+[Task 16/25]  Current/Best:   19.71/  21.76 GFLOPS | Progress: (20/20) | 14.68 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:    4.87/  21.75 GFLOPS | Progress: (4/20) | 4.96 s
-[Task 17/25]  Current/Best:   12.70/  21.75 GFLOPS | Progress: (8/20) | 9.71 s
-[Task 17/25]  Current/Best:   11.94/  24.11 GFLOPS | Progress: (12/20) | 14.23 s
-[Task 17/25]  Current/Best:   14.91/  24.11 GFLOPS | Progress: (16/20) | 16.61 s
-[Task 17/25]  Current/Best:   22.90/  24.11 GFLOPS | Progress: (20/20) | 19.36 s Done.
+[Task 17/25]  Current/Best:   12.70/  24.52 GFLOPS | Progress: (4/20) | 5.59 s
+[Task 17/25]  Current/Best:    3.21/  24.52 GFLOPS | Progress: (8/20) | 8.22 s
+[Task 17/25]  Current/Best:   22.27/  24.52 GFLOPS | Progress: (12/20) | 11.94 s
+[Task 17/25]  Current/Best:   23.07/  24.52 GFLOPS | Progress: (16/20) | 17.19 s
+[Task 17/25]  Current/Best:   16.84/  24.52 GFLOPS | Progress: (20/20) | 19.71 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:   11.39/  16.59 GFLOPS | Progress: (4/20) | 7.81 s
-[Task 18/25]  Current/Best:   11.07/  16.59 GFLOPS | Progress: (8/20) | 12.31 s
-[Task 18/25]  Current/Best:   16.57/  18.65 GFLOPS | Progress: (12/20) | 16.86 s
-[Task 18/25]  Current/Best:    8.14/  19.55 GFLOPS | Progress: (16/20) | 19.15 s
-[Task 18/25]  Current/Best:    9.01/  19.55 GFLOPS | Progress: (20/20) | 29.80 s Done.
+[Task 18/25]  Current/Best:   18.91/  18.91 GFLOPS | Progress: (4/20) | 4.74 s
+[Task 18/25]  Current/Best:   20.46/  20.46 GFLOPS | Progress: (8/20) | 7.72 s
+[Task 18/25]  Current/Best:   10.58/  21.29 GFLOPS | Progress: (12/20) | 12.38 s
+[Task 18/25]  Current/Best:   10.21/  21.29 GFLOPS | Progress: (16/20) | 16.70 s
+[Task 18/25]  Current/Best:   21.09/  21.29 GFLOPS | Progress: (20/20) | 18.86 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    6.89/  14.49 GFLOPS | Progress: (4/20) | 8.42 s
-[Task 19/25]  Current/Best:    3.19/  19.74 GFLOPS | Progress: (8/20) | 11.78 s
-[Task 19/25]  Current/Best:    5.19/  21.64 GFLOPS | Progress: (12/20) | 17.65 s
-[Task 19/25]  Current/Best:   10.25/  21.64 GFLOPS | Progress: (16/20) | 21.16 s
-[Task 19/25]  Current/Best:    7.52/  21.89 GFLOPS | Progress: (20/20) | 25.61 s Done.
+[Task 19/25]  Current/Best:   18.96/  18.96 GFLOPS | Progress: (4/20) | 6.33 s
+[Task 19/25]  Current/Best:   13.52/  22.71 GFLOPS | Progress: (8/20) | 9.54 s
+[Task 19/25]  Current/Best:   12.63/  22.71 GFLOPS | Progress: (12/20) | 13.25 s
+[Task 19/25]  Current/Best:   13.00/  22.71 GFLOPS | Progress: (16/20) | 17.35 s
+[Task 19/25]  Current/Best:    5.02/  22.71 GFLOPS | Progress: (20/20) | 23.48 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:    8.87/  18.85 GFLOPS | Progress: (4/20) | 9.10 s
-[Task 20/25]  Current/Best:    7.79/  19.16 GFLOPS | Progress: (8/20) | 15.61 s
-[Task 20/25]  Current/Best:    9.95/  21.35 GFLOPS | Progress: (12/20) | 27.28 s
-[Task 20/25]  Current/Best:   18.64/  21.35 GFLOPS | Progress: (16/20) | 38.94 s
-[Task 20/25]  Current/Best:    6.81/  21.35 GFLOPS | Progress: (20/20) | 49.24 s
+[Task 20/25]  Current/Best:   14.87/  16.36 GFLOPS | Progress: (4/20) | 13.80 s
+[Task 20/25]  Current/Best:    8.62/  18.56 GFLOPS | Progress: (8/20) | 20.99 s
+[Task 20/25]  Current/Best:   20.42/  20.52 GFLOPS | Progress: (12/20) | 25.66 s
+[Task 20/25]  Current/Best:   15.40/  20.52 GFLOPS | Progress: (16/20) | 32.38 s
+[Task 20/25]  Current/Best:   18.79/  20.52 GFLOPS | Progress: (20/20) | 34.25 s
 [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25]  Current/Best:   13.57/  15.22 GFLOPS | Progress: (4/20) | 8.40 s
-[Task 21/25]  Current/Best:    5.78/  19.98 GFLOPS | Progress: (8/20) | 19.02 s
-[Task 21/25]  Current/Best:    7.16/  19.98 GFLOPS | Progress: (12/20) | 25.64 s
-[Task 21/25]  Current/Best:    5.53/  19.98 GFLOPS | Progress: (16/20) | 27.95 s
-[Task 21/25]  Current/Best:   18.80/  19.98 GFLOPS | Progress: (20/20) | 29.74 s Done.
+[Task 21/25]  Current/Best:   18.26/  18.90 GFLOPS | Progress: (4/20) | 4.02 s
+[Task 21/25]  Current/Best:   13.66/  21.29 GFLOPS | Progress: (8/20) | 6.45 s
+[Task 21/25]  Current/Best:    9.86/  21.29 GFLOPS | Progress: (12/20) | 8.38 s
+[Task 21/25]  Current/Best:   20.01/  21.29 GFLOPS | Progress: (16/20) | 11.83 s
+[Task 21/25]  Current/Best:   10.19/  21.29 GFLOPS | Progress: (20/20) | 14.17 s Done.
 
 [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:    1.61/  17.75 GFLOPS | Progress: (4/20) | 4.84 s
-[Task 22/25]  Current/Best:   10.55/  21.71 GFLOPS | Progress: (8/20) | 7.79 s
-[Task 22/25]  Current/Best:   11.01/  21.71 GFLOPS | Progress: (12/20) | 9.62 s
-[Task 22/25]  Current/Best:   19.43/  21.71 GFLOPS | Progress: (16/20) | 11.25 s
-[Task 22/25]  Current/Best:   12.53/  21.71 GFLOPS | Progress: (20/20) | 12.85 s Done.
+[Task 22/25]  Current/Best:   20.37/  20.37 GFLOPS | Progress: (4/20) | 4.62 s
+[Task 22/25]  Current/Best:   19.40/  20.37 GFLOPS | Progress: (8/20) | 6.29 s
+[Task 22/25]  Current/Best:   10.71/  20.37 GFLOPS | Progress: (12/20) | 8.65 s
+[Task 22/25]  Current/Best:    6.79/  20.37 GFLOPS | Progress: (16/20) | 11.23 s
+[Task 22/25]  Current/Best:   22.24/  22.24 GFLOPS | Progress: (20/20) | 13.96 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:    7.24/  24.89 GFLOPS | Progress: (4/20) | 5.34 s
-[Task 23/25]  Current/Best:   19.30/  24.89 GFLOPS | Progress: (8/20) | 10.95 s
-[Task 23/25]  Current/Best:   10.67/  24.89 GFLOPS | Progress: (12/20) | 17.06 s
-[Task 23/25]  Current/Best:   11.41/  24.89 GFLOPS | Progress: (16/20) | 19.92 s
-[Task 23/25]  Current/Best:    7.06/  24.89 GFLOPS | Progress: (20/20) | 24.41 s Done.
+[Task 23/25]  Current/Best:   12.26/  22.65 GFLOPS | Progress: (4/20) | 6.53 s
+[Task 23/25]  Current/Best:    3.19/  22.65 GFLOPS | Progress: (8/20) | 9.62 s
+[Task 23/25]  Current/Best:   13.82/  22.65 GFLOPS | Progress: (12/20) | 12.16 s
+[Task 23/25]  Current/Best:    4.32/  22.65 GFLOPS | Progress: (16/20) | 16.89 s
+[Task 23/25]  Current/Best:   19.98/  23.29 GFLOPS | Progress: (20/20) | 19.33 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    2.75/   4.53 GFLOPS | Progress: (4/20) | 13.32 s
-[Task 24/25]  Current/Best:    3.68/  10.67 GFLOPS | Progress: (8/20) | 24.29 s
-[Task 24/25]  Current/Best:    3.89/  10.67 GFLOPS | Progress: (12/20) | 35.28 s Done.
+[Task 24/25]  Current/Best:    1.92/   3.84 GFLOPS | Progress: (4/20) | 13.35 s
+[Task 24/25]  Current/Best:    6.52/   6.52 GFLOPS | Progress: (8/20) | 24.32 s Done.
 
-[Task 24/25]  Current/Best:    3.89/  10.67 GFLOPS | Progress: (16/20) | 46.29 s
-[Task 24/25]  Current/Best:    4.60/  10.67 GFLOPS | Progress: (20/20) | 56.95 s
+[Task 24/25]  Current/Best:    8.51/   8.51 GFLOPS | Progress: (12/20) | 35.29 s
+[Task 24/25]  Current/Best:    3.59/   8.51 GFLOPS | Progress: (16/20) | 46.29 s
+[Task 24/25]  Current/Best:    4.17/   8.51 GFLOPS | Progress: (20/20) | 57.03 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    1.54/   6.36 GFLOPS | Progress: (4/20) | 6.37 s
-[Task 25/25]  Current/Best:    7.89/  10.18 GFLOPS | Progress: (8/20) | 8.98 s
-[Task 25/25]  Current/Best:    5.99/  10.18 GFLOPS | Progress: (12/20) | 12.28 s
-[Task 25/25]  Current/Best:    6.33/  10.18 GFLOPS | Progress: (16/20) | 17.08 s
-[Task 25/25]  Current/Best:   10.27/  10.27 GFLOPS | Progress: (20/20) | 18.44 s Done.
+[Task 25/25]  Current/Best:    3.10/  10.74 GFLOPS | Progress: (4/20) | 5.04 s
+[Task 25/25]  Current/Best:    3.14/  10.74 GFLOPS | Progress: (8/20) | 16.01 s
+[Task 25/25]  Current/Best:    3.64/  10.74 GFLOPS | Progress: (12/20) | 26.94 s
+[Task 25/25]  Current/Best:    6.09/  10.74 GFLOPS | Progress: (16/20) | 29.30 s
+[Task 25/25]  Current/Best:    8.83/  10.74 GFLOPS | Progress: (20/20) | 39.94 s
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -1040,8 +1040,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;unoptimized: </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">unoptimized</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 391.9160040799943, &#39;median&#39;: 391.30669009991834, &#39;std&#39;: 1.5949759088316464}
-unoptimized: {&#39;mean&#39;: 466.6729065099753, &#39;median&#39;: 467.2305023000263, &#39;std&#39;: 1.5609685869372476}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 391.6078571101025, &#39;median&#39;: 390.6896420499834, &#39;std&#39;: 3.0012592019791104}
+unoptimized: {&#39;mean&#39;: 465.34984752004675, &#39;median&#39;: 464.9661258499691, &#39;std&#39;: 2.0017473112177266}
 </pre></div>
 </div>
 </div>
@@ -1055,7 +1055,7 @@ models.</p>
 <p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
 supports many more features including cross-compilation, remote execution and
 profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  41.218 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes  47.965 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-autotvm-relay-x86-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/57a45d9bef1af358191e7d50043e652c/autotvm_relay_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">autotvm_relay_x86.py</span></code></a></p>
diff --git a/docs/tutorial/cross_compilation_and_rpc.html b/docs/tutorial/cross_compilation_and_rpc.html
index c131cde0d2..538b7a31fa 100644
--- a/docs/tutorial/cross_compilation_and_rpc.html
+++ b/docs/tutorial/cross_compilation_and_rpc.html
@@ -558,7 +558,7 @@ device and returns the measured cost. Network overhead is excluded.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="si">%g</span><span class="s2"> secs/op&quot;</span> <span class="o">%</span> <span class="n">cost</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.176e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.164e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index 8636f47ec3..771a807e24 100644
--- a/docs/tutorial/intro_topi.html
+++ b/docs/tutorial/intro_topi.html
@@ -528,7 +528,7 @@ class Module:
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/ir.html#tvm.ir.Array" title="tvm.ir.Array" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">sg</span><span class="o">.</span><span class="n">stages</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x15a921f0)), stage(b, placeholder(b, 0x15274610)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attr [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x2c6467a0)), stage(b, placeholder(b, 0x2d8b13e0)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attr [...]
 </pre></div>
 </div>
 <p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index c142c3ca27..d79d50506a 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>16:51.432</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:24.068</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,35 +369,35 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:41.218</p></td>
+<td><p>12:47.965</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_scheduler_matmul_x86.html#sphx-glr-tutorial-auto-scheduler-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Auto-scheduling</span></a> (<code class="docutils literal notranslate"><span class="pre">auto_scheduler_matmul_x86.py</span></code>)</p></td>
-<td><p>01:15.774</p></td>
+<td><p>01:40.153</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tensor_expr_get_started.html#sphx-glr-tutorial-tensor-expr-get-started-py"><span class="std std-ref">Working with Operators Using Tensor Expression</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_expr_get_started.py</span></code>)</p></td>
-<td><p>00:58.175</p></td>
+<td><p>00:58.430</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="relay_quick_start.html#sphx-glr-tutorial-relay-quick-start-py"><span class="std std-ref">Quick Start Tutorial for Compiling Deep Learning Models</span></a> (<code class="docutils literal notranslate"><span class="pre">relay_quick_start.py</span></code>)</p></td>
-<td><p>00:40.195</p></td>
+<td><p>00:40.392</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_matmul_x86.html#sphx-glr-tutorial-autotvm-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Schedule Templates and AutoTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:14.176</p></td>
+<td><p>00:15.216</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.912</p></td>
+<td><p>00:00.921</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:00.817</p></td>
+<td><p>00:00.823</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="cross_compilation_and_rpc.html#sphx-glr-tutorial-cross-compilation-and-rpc-py"><span class="std std-ref">Cross Compilation and RPC</span></a> (<code class="docutils literal notranslate"><span class="pre">cross_compilation_and_rpc.py</span></code>)</p></td>
-<td><p>00:00.166</p></td>
+<td><p>00:00.168</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index 61b0bfe2f2..2425fcefae 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -569,7 +569,7 @@ helper function to run a profile of the TVM generated code.</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;naive&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" ti [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000005
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000006
 naive: 0.000006
 </pre></div>
 </div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000039
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -701,10 +701,10 @@ class Module:
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator                  Timing             Performance
-   numpy    5.198489998292644e-06                    1.0
-   naive               5.647e-06      1.0862769769403542
-parallel               5.903e-06      1.1355220461977884
-  vector                 3.8e-05       7.309814967900382
+   numpy    5.5548399905092084e-06                   1.0
+   naive              5.8237e-06      1.0484010358444447
+parallel              5.9953e-06      1.0792930147841062
+  vector    3.9092500000000006e-05     7.037556449293227
 </pre></div>
 </div>
 <div class="admonition-code-specialization admonition">
@@ -1020,7 +1020,7 @@ matrix multiplication.</p>
 <span class="n">answer</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">numpy</span><span class="p">(),</span> <span class="n">b</span><span class="o">.</span><span class="n">numpy</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: 0.013491
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.013467
 </pre></div>
 </div>
 <p>Now we write a basic matrix multiplication using TVM TE and verify that it
@@ -1061,7 +1061,7 @@ optimizations.</p>
 <span class="n">evaluate_operation</span><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="p">[</span><a href="../reference/api/python/te.html#tvm.te.Tensor" title="tvm.te.Tensor" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.361882
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.400829
 </pre></div>
 </div>
 <p>Let’s take a look at the intermediate representation of the operator and
@@ -1125,7 +1125,7 @@ schedule.</p>
 <span class="n">evaluate_operation</span><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="p">[</span><a href="../reference/api/python/te.html#tvm.te.Tensor" title="tvm.te.Tensor" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.291260
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.281165
 </pre></div>
 </div>
 <p>By reordering the computation to take advantage of caching, you should see a
@@ -1174,7 +1174,7 @@ already cache friendly from our previous optimizations.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.270041
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.254525
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1223,7 +1223,7 @@ more cache friendly.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.111016
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.110632
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1293,7 +1293,7 @@ optimized schedule.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.102224
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.103902
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1359,7 +1359,7 @@ to `C</cite> when all the block results are ready.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.094474
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.094454
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1416,7 +1416,7 @@ of thread-level parallelization.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.111062
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.112159
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1469,13 +1469,13 @@ working, we can compare the results.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>        Operator                  Timing             Performance
-            none      3.3618818679999998                     1.0
-        blocking     0.29125969129999996     0.08663590891528612
-   vectorization            0.2700409541     0.08032434353817694
-loop permutation            0.1110157052    0.033021893558099286
-   array packing     0.10222408860000001    0.030406805656384837
-   block caching     0.09447449649999999     0.02810167049569869
- parallelization            0.1110623712    0.033035774474155316
+            none      3.4008288097999992                     1.0
+        blocking            0.2811649766     0.08267542776330901
+   vectorization             0.254525412      0.0748421711985463
+loop permutation     0.11063195639999998    0.032530880731543255
+   array packing            0.1039015684    0.030551837275840533
+   block caching            0.0944541394    0.027773858868701713
+ parallelization            0.1121585275     0.03297976280864193
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a