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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/03/31 02:12:30 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@a39067bf7a8b5d28965cd8d5127c35a30640d94e)

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 b49f3aa892 deploying docs (apache/tvm@a39067bf7a8b5d28965cd8d5127c35a30640d94e)
b49f3aa892 is described below

commit b49f3aa892f7b5a335569d0eb1ff8f1a89b42442
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Sun Mar 31 02:12:23 2024 +0000

    deploying docs (apache/tvm@a39067bf7a8b5d28965cd8d5127c35a30640d94e)
---
 .../how_to/compile_models/from_darknet.rst.txt     |   2 +-
 .../how_to/compile_models/from_oneflow.rst.txt     |   2 +-
 .../how_to/compile_models/from_paddle.rst.txt      |   5 -
 .../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      |  20 +-
 .../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 +-
 .../deploy_models/sg_execution_times.rst.txt       |  18 +-
 .../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   |   6 +-
 .../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 |  18 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   7 +-
 .../tutorials/frontend/sg_execution_times.rst.txt  |   4 +-
 .../tutorials/optimize/sg_execution_times.rst.txt  |   6 +-
 .../topic/vta/tutorials/sg_execution_times.rst.txt |   6 +-
 .../tutorial/auto_scheduler_matmul_x86.rst.txt     |   4 +-
 docs/_sources/tutorial/autotvm_matmul_x86.rst.txt  |  20 +-
 docs/_sources/tutorial/autotvm_relay_x86.rst.txt   |  58 ++---
 .../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       |  47 ++--
 docs/commit_hash                                   |   2 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  15 +-
 docs/how_to/compile_models/from_paddle.html        |   1 -
 docs/how_to/compile_models/from_pytorch.html       |  17 +-
 docs/how_to/compile_models/from_tensorflow.html    |   2 +-
 docs/how_to/compile_models/sg_execution_times.html |  20 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  22 +-
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  56 ++---
 docs/how_to/deploy_models/deploy_prequantized.html |   9 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  26 +-
 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      |   6 +-
 .../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    |  18 +-
 docs/install/nnpack.html                           |  12 +-
 .../api/doxygen/disco_2session_8h_source.html      |  18 +-
 .../doxygen/runtime_2disco_2builtin_8h_source.html |  16 +-
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |  12 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 114 ++++-----
 .../classes/LinearCongruentialGenerator.html       |  16 +-
 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_.AsyncifyHandler.html        |  12 +-
 .../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 |  56 ++---
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +--
 .../enums/_internal_.AsyncifyStateKind.html        |   8 +-
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/deleteNDArrayCache.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 +-
 .../_internal_.ArtifactCacheTemplate.html          |  10 +-
 .../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 +-
 .../typedoc/types/_internal_.AsyncPackedFunc.html  |   2 +-
 .../types/_internal_.FObjectConstructor.html       |   2 +-
 .../types/_internal_.FTVMWasmAllocSpace.html       |   2 +-
 .../types/_internal_.FTVMWasmFreeSpace.html        |   2 +-
 .../types/_internal_.FTVMWasmPackedCFunc.html      |   2 +-
 .../api/typedoc/types/_internal_.Pointer.html      |   2 +-
 .../typedoc/types/_internal_.TVMObjectBase.html    |   2 +-
 docs/searchindex.js                                |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   3 +-
 .../vta/tutorials/frontend/sg_execution_times.html |   4 +-
 .../vta/tutorials/optimize/sg_execution_times.html |   6 +-
 docs/topic/vta/tutorials/sg_execution_times.html   |   6 +-
 docs/tutorial/auto_scheduler_matmul_x86.html       |   4 +-
 docs/tutorial/autotvm_matmul_x86.html              |  20 +-
 docs/tutorial/autotvm_relay_x86.html               | 272 ++++++++++-----------
 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         |  43 ++--
 138 files changed, 904 insertions(+), 911 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 cee8bf587f..45764ab3aa 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  35.564 seconds)
+   **Total running time of the script:** ( 1 minutes  33.102 seconds)
 
 
 .. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index b7fdc58ab4..2dbd7e8e28 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ Load a pretrained OneFlow model and save model
  .. code-block:: none
 
     Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 55.3MB/s]      28%|##7       | 11.6M/41.5M [00:00<00:00, 53.2MB/s]      40%|####      | 16.7M/41.5M [00:00<00:00, 42.1MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 38.2MB/s]      77%|#######7  | 32.0M/41.5M [00:00<00:00, 41.6MB/s]      96%|#########6| 40.0M/41.5M [00:00<00:00, 47.1MB/s]     100%|##########| 41.5M/41.5M [00:00<00:00, 46.5MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 44.8MB/s]      26%|##5       | 10.6M/41.5M [00:00<00:00, 37.8MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:00, 33.8MB/s]      42%|####2     | 17.5M/41.5M [00:00<00:00, 32.8MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 33.4MB/s]      77%|#######7  | 32.0M/41.5M [00:00<00:00, 34.0MB/s]      92%|#########2| 38.3M/41.5M [00:01<00:00, 30.6MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 33.8MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 6253b26ccd..8df75c9e33 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,11 +207,6 @@ Look up prediction top 1 index in 1000 class synset.
 
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 1 minutes  3.848 seconds)
-
-
 .. _sphx_glr_download_how_to_compile_models_from_paddle.py:
 
 .. only:: html
diff --git a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
index a008467f21..b4e147135e 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
-       0%|          | 0.00/44.7M [00:00<?, ?B/s]      14%|#4        | 6.30M/44.7M [00:00<00:01, 28.3MB/s]      20%|##        | 9.01M/44.7M [00:00<00:01, 28.2MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 36.3MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 44.6MB/s]      72%|#######1  | 32.0M/44.7M [00:00<00:00, 46.1MB/s]      86%|########5 | 38.3M/44.7M [00:00<00:00, 50.3MB/s]      97%|#########6| 43.3M/44.7M [00:01<00:00, 45.9MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 44.0MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      14%|#4        | 6.30M/44.7M [00:00<00:00, 40.9MB/s]      23%|##2       | 10.2M/44.7M [00:00<00:00, 41.0MB/s]      32%|###2      | 14.3M/44.7M [00:00<00:01, 31.4MB/s]      39%|###9      | 17.5M/44.7M [00:00<00:00, 29.2MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 38.0MB/s]      72%|#######1  | 32.0M/44.7M [00:00<00:00, 37.8MB/s]      86%|########5 | 38.3M/44.7M [00:01<00:00, 40.9MB/s]      95%|#########4| 42.3M/44.7M [00:01<00:00, 39.6MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 38.6MB/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 a7e726b2bd..5ea5c2063f 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  32.694 seconds)
+   **Total running time of the script:** ( 1 minutes  29.219 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 c6ac00d1af..d3e044b523 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**06:46.636** total execution time for **how_to_compile_models** files:
+**06:30.670** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:35.564 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:33.102 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:32.694 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.219 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:03.848 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:59.804 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:45.175 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:43.253 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:39.341 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:38.389 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:29.225 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:28.037 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:26.568 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.371 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:11.359 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:10.670 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.864 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.824 | 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 66628d9f5a..174657c60f 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)  
-     3996.1410    3995.6622    3999.1226    3994.1432      1.6155                  
+     3999.7103    3995.9357    4032.5900    3993.6759     11.1716                  
 
 
 
@@ -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  18.550 seconds)
+   **Total running time of the script:** ( 1 minutes  18.222 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 9bf5da3566..c6dc3930e5 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       4300800/102967424 [>.............................] - ETA: 1s       8380416/102967424 [=>............................] - ETA: 1s      16769024/102967424 [===>..........................] - ETA: 1s      25157632/102967424 [======>.......................] - ETA: 0s      33546240/102967424 [========>.....................] - ETA: 0s      41934848/102967424 [===========>..................] - ETA: 0s      48578560/102967424 [=============>................] - ETA: 0s
       50323456/102967424 [=============>................] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 0s      62078976/102967424 [=================>............] - ETA: 0s      69296128/102967424 [===================>..........] - ETA: 0s      71540736/102967424 [===================>..........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      92266496/102967424 [=========================>....] -
  ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 1s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       8093696/102967424 [=>............................] - ETA: 0s      12869632/102967424 [==>...........................] - ETA: 0s      16769024/102967424 [===>..........................] - ETA: 0s      21676032/102967424 [=====>........................] - ETA: 0s      23412736/102967424 [=====>........................] - ETA: 0s      27262976/102967424 [======>.......................] - ETA: 0s      33546240/102967424 [========>.....................] - ETA: 0s
       41934848/102967424 [===========>..................] - ETA: 0s      50323456/102967424 [=============>................] - ETA: 0s      60219392/102967424 [================>.............] - ETA: 0s      66215936/102967424 [==================>...........] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      74309632/102967424 [====================>.........] - ETA: 0s      81764352/102967424 [======================>.......] - ETA: 0s      83877888/102967424 [=======================>......] -
  ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 1s 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 9495da06bc..389075be07 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)  
-      15.1777      15.1013      15.8188      14.6574       0.4726                  
+      14.7145      14.7319      15.1853      14.1929       0.3529                  
 
 
 
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 4a07ccf250..6ec34182aa 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<00:02, 61.1MB/s]       9%|9         | 16.0M/170M [00:00<00:03, 46.7MB/s]      14%|#4        | 24.0M/170M [00:00<00:02, 54.5MB/s]      18%|#7        | 30.3M/170M [00:00<00:02, 49.1MB/s]      21%|##        | 35.2M/170M [00:00<00:03, 37.4MB/s]      25%|##5       | 42.6M/170M [00:00<00:02, 46.4MB/s]      28%|##8       | 48.0M/170M [00:01<00:03, 37.0MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 43.5MB/s]      37%|###7      | 63.7M/170M [00:01<00:02, 51.5MB/s]      41%|####      | 69.3M/170M [00:01<00:02, 51.7MB/s]      44%|####4     | 74.8M/170M [00:01<00:02, 43.7MB/s]      47%|####6     | 79.5M/170M [00:01<00:02, 40.2MB/s]      51%|#####     | 86.2M/170M [00:01<00:01, 46.9MB/s]      54%|#####3    | 91.1M/170M [00:02<00:01, 45.5MB/s]      56%|#####6    | 95.8M/170M [00:02<00:01, 41.2MB/s]      59%|#####8    | 100M/170M [00:02<00:01, 40.6MB/s]       61%|######1   | 104M/170M [00:02<00:02, 34.3MB/s
 ]      66%|######5   | 112M/170M [00:02<00:01, 42.8MB/s]      71%|#######   | 120M/170M [00:02<00:01, 46.9MB/s]      74%|#######4  | 126M/170M [00:02<00:00, 49.5MB/s]      77%|#######7  | 131M/170M [00:03<00:00, 47.5MB/s]      80%|#######9  | 136M/170M [00:03<00:00, 45.7MB/s]      83%|########2 | 140M/170M [00:03<00:00, 37.8MB/s]      87%|########6 | 147M/170M [00:03<00:00, 45.6MB/s]      89%|########9 | 152M/170M [00:03<00:00, 36.6MB/s]      94%|#########4| 160M/170M [00:03<00:00, 40.1MB/s]      99%|#########8| 168M/170M [00:04<00:00, 43.0MB/s]     100%|##########| 170M/170M [00:04<00:00, 44.1MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       5%|4         | 7.99M/170M [00:00<00:03, 45.5MB/s]       8%|8         | 14.3M/170M [00:00<00:03, 52.1MB/s]      11%|#1        | 19.5M/170M [00:00<00:04, 37.0MB/s]      15%|#4        | 25.4M/170M [00:00<00:03, 44.0MB/s]      18%|#7        | 30.3M/170M [00:00<00:03, 38.6MB/s]      20%|##        | 34.4M/170M [00:00<00:03, 39.2MB/s]      24%|##3       | 40.0M/170M [00:01<00:03, 42.1MB/s]      28%|##8       | 48.0M/170M [00:01<00:02, 48.2MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 54.5MB/s]      38%|###7      | 64.0M/170M [00:01<00:02, 47.7MB/s]      42%|####2     | 72.0M/170M [00:01<00:01, 54.2MB/s]      47%|####7     | 80.0M/170M [00:01<00:01, 52.7MB/s]      52%|#####1    | 88.0M/170M [00:01<00:01, 52.3MB/s]      57%|#####6    | 96.0M/170M [00:02<00:01, 56.1MB/s]      61%|######1   | 104M/170M [00:02<00:01, 51.6MB/s]       66%|######5   | 112M/170M [00:02<00:01, 55.5MB/s]      71%|#######   | 120M/170M [00:02<00:00, 53.3MB/s]
       75%|#######5  | 128M/170M [00:02<00:00, 47.9MB/s]      79%|#######9  | 134M/170M [00:02<00:00, 46.5MB/s]      82%|########1 | 139M/170M [00:03<00:00, 44.6MB/s]      85%|########4 | 144M/170M [00:03<00:00, 42.3MB/s]      88%|########8 | 150M/170M [00:03<00:00, 34.5MB/s]      91%|#########1| 155M/170M [00:03<00:00, 37.0MB/s]      94%|#########4| 160M/170M [00:03<00:00, 34.2MB/s]      98%|#########7| 166M/170M [00:03<00:00, 36.1MB/s]     100%|##########| 170M/170M [00:03<00:00, 44.8MB/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  41.872 seconds)
+   **Total running time of the script:** ( 3 minutes  28.971 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 f7764f152d..d0594a4a92 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, 36.4MB/s]      99%|#########9| 13.5M/13.6M [00:00<00:00, 44.4MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 42.9MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      59%|#####8    | 7.99M/13.6M [00:00<00:00, 62.6MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 56.8MB/s]
 
 
 
@@ -409,7 +409,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      86.3359      86.2981      86.9796      86.0648       0.1670                  
+      85.9128      85.9099      86.7780      85.5375       0.2521                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  31.127 seconds)
+   **Total running time of the script:** ( 1 minutes  28.210 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 211117b94c..b21643c5c5 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)  
-      107.4984     107.4548     111.3202     106.8292      0.4549                  
+      106.6470     106.5390     110.3953     106.1718      0.5160                  
 
 
 
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 8b5507f316..a1e7805177 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**10:04.505** total execution time for **how_to_deploy_models** files:
+**09:43.363** 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``) | 03:41.872 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:28.971 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:31.127 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:28.210 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:18.550 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:18.222 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:52.677 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:51.797 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:52.569 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:49.804 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:47.157 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:46.743 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:30.425 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:29.863 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:30.121 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.745 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.008 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index d96f7534a4..0a5304ada5 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:04.190** total execution time for **how_to_extend_tvm** files:
+**00:04.069** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.922 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.840 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.260 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.221 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.008 | 0.0 MB |
+| :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 56f1a80a7b..76da450caa 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: 24778us [24778us] (48.27%; 48.27%)
-    FoldScaleAxis: 26554us [11us] (51.73%; 51.73%)
-            FoldConstant: 26543us [1829us] (51.71%; 99.96%)
-                    InferType: 24714us [24714us] (48.15%; 93.11%)
+    InferType: 24365us [24365us] (48.59%; 48.59%)
+    FoldScaleAxis: 25779us [8us] (51.41%; 51.41%)
+            FoldConstant: 25771us [1784us] (51.39%; 99.97%)
+                    InferType: 23987us [23987us] (47.84%; 93.08%)
 
 
 
@@ -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: 24530us [24530us] (48.16%; 48.16%)
-    FoldScaleAxis: 26407us [10us] (51.84%; 51.84%)
-            FoldConstant: 26397us [1883us] (51.82%; 99.96%)
-                    InferType: 24514us [24514us] (48.13%; 92.87%)
+    InferType: 24198us [24198us] (48.32%; 48.32%)
+    FoldScaleAxis: 25881us [7us] (51.68%; 51.68%)
+            FoldConstant: 25874us [1819us] (51.67%; 99.97%)
+                    InferType: 24055us [24055us] (48.03%; 92.97%)
 
 
 
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 5b4f88099d..39c5923e91 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: 51.802368 ms
+    Convolution: 53.473312 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 5fc50a1aa5..06cf2bd998 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: 12.265524 ms
+    conv2d with tensor core: 12.265562 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 1a45d3fadf..b47fbfe7e8 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: 0.016919
-    Baseline: 3.333343
+    Numpy running time: 0.015682
+    Baseline: 3.405530
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.306124
+    Opt1: 0.281121
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.299488
+    Opt2: 0.256898
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.118820
+    Opt3: 0.112711
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.105204
+    Opt4: 0.104018
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.098676
+    Opt5: 0.102790
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.116820
+    Opt6: 0.116461
 
 
 
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 93df621923..5943586ade 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
 =================
-**00:32.933** total execution time for **how_to_optimize_operators** files:
+**00:32.103** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:29.893 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:29.070 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.816 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.800 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.224 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.233 | 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 5acbf8a7c9..5f159f36d4 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
 =================
-**03:40.160** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:35.526** 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``)             | 01:34.827 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:33.392 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:13.236 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:11.354 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:19.764 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:19.524 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:16.590 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:16.145 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:15.644 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:15.015 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.100 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.097 | 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 5b31be44fb..8b05592d1f 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       3.1976       3.1976       3.1979       3.1971       0.0003                  
+       3.2080       3.2080       3.2083       3.2076       0.0003                  
 
 
 
@@ -660,7 +660,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  13.236 seconds)
+   **Total running time of the script:** ( 1 minutes  11.354 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 8680971e03..5457a3361a 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -655,7 +655,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      719.9216     720.2829     720.6908     718.7912      0.8165                  
+      714.8219     715.0643     720.9941     708.4072      5.1414                  
 
 
 
@@ -682,7 +682,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  34.827 seconds)
+   **Total running time of the script:** ( 1 minutes  33.392 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 ead4b32903..7c5ba617fe 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
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:22.931** total execution time for **how_to_tune_with_autotvm** files:
+**00:22.841** 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``)           | 00:22.888 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:22.805 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.026 | 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_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.006 | 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 df49b597ed..93f18a79e7 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: 0.037043
+    Time cost of this operator: 0.037237
 
 
 
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 d89480f0ba..9b5e7c904a 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  297.4     98.748   (1, 2, 10, 10, 3)  2       1        [297.4]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.822     0.937    (1, 6, 10, 10)     1       1        [2.822]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.95      0.315    (1, 1, 10, 10, 3)  1       1        [0.95]            
-    Total_time                                    -                                             301.172   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  295.0     98.746   (1, 2, 10, 10, 3)  2       1        [295.0]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.807     0.94     (1, 6, 10, 10)     1       1        [2.807]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.939     0.314    (1, 1, 10, 10, 3)  1       1        [0.939]           
+    Total_time                                    -                                             298.746   -        -                  -       -        -                 
 
 
 
@@ -428,10 +428,10 @@ Timing the tuned program
     ########## Build with Autotuning ##########
     Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)  
     ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------  
-    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  98.062    97.346   (1, 6, 10, 10, 1)  2       1        [98.062]          
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.741     1.728    (1, 6, 10, 10)     1       1        [1.741]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.933     0.926    (1, 1, 10, 10, 3)  1       1        [0.933]           
-    Total_time                                    -                                             100.736   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  131.3     98.07    (1, 6, 10, 10, 1)  2       1        [131.3]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.75      1.307    (1, 6, 10, 10)     1       1        [1.75]            
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.833     0.622    (1, 3, 10, 10, 1)  1       1        [0.833]           
+    Total_time                                    -                                             133.883   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  27.303 seconds)
+   **Total running time of the script:** ( 1 minutes  24.400 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 5da210bff5..d13255bc99 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, 18.6MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 28.9MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]      61%|######    | 2.09M/3.42M [00:00<00:00, 14.4MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 22.1MB/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  29.793 seconds)
+   **Total running time of the script:** ( 1 minutes  26.078 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 d0d7d68806..411bd170d7 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/tmptmpeqo3u/images/random'
+    '/tmp/tmpip2a1eua/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmptmpeqo3u/images/target contains 8144 images
-    /tmp/tmptmpeqo3u/images/random contains 5000 images
+    /tmp/tmpip2a1eua/images/target contains 8144 images
+    /tmp/tmpip2a1eua/images/random contains 5000 images
 
 
 
@@ -493,13 +493,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 39s - loss: 0.2167 - accuracy: 0.9278 - val_loss: 0.1037 - val_accuracy: 0.9619 - 39s/epoch - 119ms/step
+    328/328 - 38s - loss: 0.2551 - accuracy: 0.9180 - val_loss: 0.1274 - val_accuracy: 0.9551 - 38s/epoch - 117ms/step
     Epoch 2/3
-    328/328 - 35s - loss: 0.0978 - accuracy: 0.9652 - val_loss: 0.1030 - val_accuracy: 0.9619 - 35s/epoch - 106ms/step
+    328/328 - 34s - loss: 0.1051 - accuracy: 0.9638 - val_loss: 0.1492 - val_accuracy: 0.9460 - 34s/epoch - 105ms/step
     Epoch 3/3
-    328/328 - 34s - loss: 0.0685 - accuracy: 0.9748 - val_loss: 0.0958 - val_accuracy: 0.9679 - 34s/epoch - 105ms/step
+    328/328 - 34s - loss: 0.0725 - accuracy: 0.9718 - val_loss: 0.1214 - val_accuracy: 0.9607 - 34s/epoch - 105ms/step
 
-    <keras.callbacks.History object at 0x7f9486972b80>
+    <keras.callbacks.History object at 0x7f37b3f1e730>
 
 
 
@@ -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  35.552 seconds)
+   **Total running time of the script:** ( 4 minutes  35.111 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 bd58900709..8407e7c0d6 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
 =================
-**08:03.526** total execution time for **how_to_work_with_microtvm** files:
+**07:55.794** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:35.552 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:35.111 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:29.793 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:26.078 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:27.303 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:24.400 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.124 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.779 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.746 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.385 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.008 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.042 | 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 79c90b2539..616fef578f 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
 =================
-**00:39.077** total execution time for **how_to_work_with_relay** files:
+**00:38.169** 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``) | 00:33.907 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:33.126 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.200 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.228 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.963 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.809 | 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 d1509b1260..2246f32e0c 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 0x7f967c9629d0>
+    <function my_cuda_math_rule at 0x7f39962c5280>
 
 
 
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 c6b6ad695e..5bcca5cccb 100644
--- a/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
@@ -5,22 +5,22 @@
 
 Computation times
 =================
-**00:05.399** total execution time for **how_to_work_with_schedules** files:
+**00:05.456** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.535 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.465 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.140 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.316 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.721 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.700 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.708 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.691 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.123 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.119 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.073 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.070 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.066 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.065 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.033 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.031 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index e4ccd1149f..d27437efb4 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 27.81s!
+    yolov3-tiny inference graph built in 27.02s!
 
 
 
@@ -445,11 +445,6 @@ Download test image
 
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 1 minutes  0.632 seconds)
-
-
 .. _sphx_glr_download_topic_vta_tutorials_frontend_deploy_detection.py:
 
 .. only:: html
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 86a20614fa..cd781ea3d1 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
 
 Computation times
 =================
-**01:00.632** total execution time for **topic_vta_tutorials_frontend** files:
+**00:59.763** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:00.632 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.763 | 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 0ab50a0982..5dbfcdd874 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
 =================
-**00:03.183** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.228** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.693 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.740 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.490 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.488 | 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 0e1e1bc5cf..4685d5fe54 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
 =================
-**00:00.807** total execution time for **topic_vta_tutorials** files:
+**00:00.774** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.419 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.401 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.388 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.373 | 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 74b14487ae..a0819b75ec 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 91.291 ms
+    Execution time of this operator: 90.198 ms
 
 
 
@@ -434,7 +434,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  18.012 seconds)
+   **Total running time of the script:** ( 1 minutes  31.166 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 09642a75ca..de9b2f81da 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: 13.13/13.13     result: MeasureResult(costs=(0.0204473374,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6248328685760498, timestamp=1711843323.81564) [('tile_y', [-1, 4]), ('tile_x', [-1, 256])],None,82
-    No: 2   GFLOPS: 11.74/13.13     result: MeasureResult(costs=(0.0228712028,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6683762073516846, timestamp=1711843324.4509404)       [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
-    No: 3   GFLOPS: 8.60/13.13      result: MeasureResult(costs=(0.0312259482,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8316295146942139, timestamp=1711843325.2074287)       [('tile_y', [-1, 512]), ('tile_x', [-1, 64])],None,69
-    No: 4   GFLOPS: 2.09/13.13      result: MeasureResult(costs=(0.1285749504,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.32204008102417, timestamp=1711843327.5284424) [('tile_y', [-1, 128]), ('tile_x', [-1, 4])],None,27
-    No: 5   GFLOPS: 7.46/13.13      result: MeasureResult(costs=(0.036005548,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8390171527862549, timestamp=1711843328.5834336)        [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
-    No: 6   GFLOPS: 11.69/13.13     result: MeasureResult(costs=(0.0229636626,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6808011531829834, timestamp=1711843329.2171254)       [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
-    No: 7   GFLOPS: 11.78/13.13     result: MeasureResult(costs=(0.022780525399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6668691635131836, timestamp=1711843329.853601)        [('tile_y', [-1, 32]), ('tile_x', [-1, 256])],None,85
-    No: 8   GFLOPS: 14.37/14.37     result: MeasureResult(costs=(0.0186769704,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6676244735717773, timestamp=1711843330.4203448)       [('tile_y', [-1, 64]), ('tile_x', [-1, 128])],None,76
-    No: 9   GFLOPS: 0.52/14.37      result: MeasureResult(costs=(0.5142104958,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.452771186828613, timestamp=1711843339.0025077)        [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
-    No: 10  GFLOPS: 12.03/14.37     result: MeasureResult(costs=(0.022314545,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.602294921875, timestamp=1711843339.6247697)    [('tile_y', [-1, 64]), ('tile_x', [-1, 512])],None,96
+    No: 1   GFLOPS: 4.72/4.72       result: MeasureResult(costs=(0.0568760316,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1848053932189941, timestamp=1711846719.9270415)       [('tile_y', [-1, 8]), ('tile_x', [-1, 2])],None,13
+    No: 2   GFLOPS: 7.76/7.76       result: MeasureResult(costs=(0.034578886399999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8141133785247803, timestamp=1711846720.7325373)       [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
+    No: 3   GFLOPS: 10.68/10.68     result: MeasureResult(costs=(0.025126202599999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.701343297958374, timestamp=1711846721.3984642)        [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+    No: 4   GFLOPS: 2.66/10.68      result: MeasureResult(costs=(0.10108003759999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8542912006378174, timestamp=1711846723.2676454)        [('tile_y', [-1, 1]), ('tile_x', [-1, 2])],None,10
+    No: 5   GFLOPS: 12.70/12.70     result: MeasureResult(costs=(0.0211370518,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6092073917388916, timestamp=1711846724.013489)        [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
+    No: 6   GFLOPS: 11.97/12.70     result: MeasureResult(costs=(0.022421370200000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6564300060272217, timestamp=1711846724.6352513)       [('tile_y', [-1, 128]), ('tile_x', [-1, 256])],None,87
+    No: 7   GFLOPS: 0.53/12.70      result: MeasureResult(costs=(0.5095386102,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.41348385810852, timestamp=1711846733.0441477) [('tile_y', [-1, 128]), ('tile_x', [-1, 1])],None,7
+    No: 8   GFLOPS: 1.82/12.70      result: MeasureResult(costs=(0.14744527359999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.6072092056274414, timestamp=1711846735.6603913)        [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+    No: 9   GFLOPS: 13.18/13.18     result: MeasureResult(costs=(0.0203599482,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.559013843536377, timestamp=1711846736.328359) [('tile_y', [-1, 4]), ('tile_x', [-1, 256])],None,82
+    No: 10  GFLOPS: 1.52/13.18      result: MeasureResult(costs=(0.17611642919999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.0300419330596924, timestamp=1711846739.4054759)        [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 2a78895025..9fa499e9b1 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': 475.49258002003626, 'median': 475.52426089996516, 'std': 1.1890464750872796}
+    {'mean': 468.36341127000196, 'median': 467.8212777500448, 'std': 1.6310418364036179}
 
 
 
@@ -582,30 +582,29 @@ 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:   14.31/  21.67 GFLOPS | Progress: (4/20) | 8.59 s     [Task  1/25]  Current/Best:   15.07/  21.67 GFLOPS | Progress: (8/20) | 12.30 s     [Task  1/25]  Current/Best:   23.54/  23.54 GFLOPS | Progress: (12/20) | 14.49 s     [Task  1/25]  Current/Best:   10.12/  23.54 GFLOPS | Progress: (16/20) | 17.48 s     [Task  1/25]  Current/Best:   10.19/  23.54 GFLOPS | Progress: (20/20) | 20.18 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   13.23/  19.51 GFLOPS | Progress: (4/20) | 4.26 s     [Task  2/25]  Current/Best:   19.79/  19.79 GFLOPS | Progress: (8/20) | 5.80 s     [Task  2/25]  Current/Best:   17.36/  19.79 GFLOPS | Progress: (12/20) | 7.27 s     [Task  2/25]  Current/Best:   12.91/  19.79 GFLOPS | Progress: (16/20) | 8.82 s     [Task  2/25]  Current/Best:   13.87/  21.52 GFLOPS | Progress: (20/20) | 10.59 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   21.88/  21.88 GFLOPS | Progress: (4/20) | 6.23 s     [Task  3/25]  Current/Best:   14.48/  21.88 GFLOPS | Progress: (8/20) | 8.77 s     [Task  3/25]  Current/Best:   13.54/  21.88 GFLOPS | Progress: (12/20) | 11.38 s     [Task  3/25]  Current/Best:    7.22/  21.88 GFLOPS | Progress: (16/20) | 16.11 s     [Task  3/25]  Current/Best:   23.44/  23.44 GFLOPS | Progress: (20/20) | 18.23 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   21.20/  21.20 GFLOPS | Progress: (4/20) | 4.27 s     [Task  4/25]  Current/Best:   17.82/  21.20 GFLOPS | Progress: (8/20) | 5.96 s     [Task  4/25]  Current/Best:   11.04/  21.20 GFLOPS | Progress: (12/20) | 9.11 s     [Task  4/25]  Current/Best:    5.22/  21.20 GFLOPS | Progress: (16/20) | 11.66 s     [Task  4/25]  Current/Best:    8.43/  21.20 GFLOPS | Progress: (20/20) | 13.67 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   18.53/  18.53 GFLOPS | Progress: (4/20) | 4.75 s     [Task  5/25]  Current/Best:   11.37/  19.76 GFLOPS | Progress: (8/20) | 6.50 s     [Task  5/25]  Current/Best:   16.01/  22.00 GFLOPS | Progress: (12/20) | 8.47 s     [Task  5/25]  Current/Best:   14.31/  22.00 GFLOPS | Progress: (16/20) | 10.35 s     [Task  5/25]  Current/Best:   15.16/  22.00 GFLOPS | Progress: (20/20) | 13.22 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   21.02/  22.18 GFLOPS | Progress: (4/20) | 4.54 s     [Task  6/25]  Current/Best:   15.91/  22.18 GFLOPS | Progress: (8/20) | 6.56 s     [Task  6/25]  Current/Best:   11.51/  22.18 GFLOPS | Progress: (12/20) | 9.36 s     [Task  6/25]  Current/Best:    7.00/  22.18 GFLOPS | Progress: (16/20) | 11.60 s     [Task  6/25]  Current/Best:   15.44/  22.18 GFLOPS | Progress: (20/20) | 14.84 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:    6.90/  21.13 GFLOPS | Progress: (4/20) | 5.59 s     [Task  7/25]  Current/Best:    5.10/  21.13 GFLOPS | Progress: (8/20) | 8.50 s     [Task  7/25]  Current/Best:   17.52/  21.13 GFLOPS | Progress: (12/20) | 11.00 s     [Task  7/25]  Current/Best:   12.88/  21.13 GFLOPS | Progress: (16/20) | 15.38 s     [Task  7/25]  Current/Best:   15.86/  21.13 GFLOPS | Progress: (20/20) | 18.30 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    6.47/  15.92 GFLOPS | Progress: (4/20) | 9.29 s     [Task  8/25]  Current/Best:   14.15/  18.78 GFLOPS | Progress: (8/20) | 13.44 s     [Task  8/25]  Current/Best:    4.77/  18.78 GFLOPS | Progress: (12/20) | 20.02 s     [Task  8/25]  Current/Best:   14.46/  18.78 GFLOPS | Progress: (16/20) | 25.86 s     [Task  8/25]  Current/Best:   13.67/  18.78 GFLOPS | Progress: (20/20) | 28.66 s Done.
-     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:    3.28/  13.68 GFLOPS | Progress: (4/20) | 4.90 s     [Task  9/25]  Current/Best:   17.79/  18.30 GFLOPS | Progress: (8/20) | 15.94 s     [Task  9/25]  Current/Best:   12.93/  21.03 GFLOPS | Progress: (12/20) | 18.74 s     [Task  9/25]  Current/Best:   18.72/  21.03 GFLOPS | Progress: (16/20) | 20.93 s     [Task  9/25]  Current/Best:   12.55/  21.03 GFLOPS | Progress: (20/20) | 22.65 s     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   20.12/  20.12 GFLOPS | Progress: (4/20) | 4.72 s     [Task 10/25]  Current/Best:   14.31/  23.51 GFLOPS | Progress: (8/20) | 7.23 s     [Task 10/25]  Current/Best:   15.62/  23.51 GFLOPS | Progress: (12/20) | 8.95 s     [Task 10/25]  Current/Best:   10.27/  23.51 GFLOPS | Progress: (16/20) | 10.82 s     [Task 10/25]  Current/Best:   15.44/  23.51 GFLOPS | Progress: (20/20
 ) | 14.25 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   22.76/  22.76 GFLOPS | Progress: (4/20) | 4.65 s     [Task 11/25]  Current/Best:   23.00/  23.96 GFLOPS | Progress: (8/20) | 6.65 s     [Task 11/25]  Current/Best:   22.58/  23.96 GFLOPS | Progress: (12/20) | 10.01 s     [Task 11/25]  Current/Best:   12.37/  23.96 GFLOPS | Progress: (16/20) | 12.69 s     [Task 11/25]  Current/Best:   12.06/  23.96 GFLOPS | Progress: (20/20) | 15.49 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   19.35/  19.35 GFLOPS | Progress: (4/20) | 6.17 s     [Task 12/25]  Current/Best:   15.86/  19.35 GFLOPS | Progress: (8/20) | 8.30 s     [Task 12/25]  Current/Best:    5.80/  19.35 GFLOPS | Progress: (12/20) | 10.97 s     [Task 12/25]  Current/Best:   13.31/  19.35 GFLOPS | Progress: (16/20) | 13.95 s     [Task 12/25]  Current/Best:   14.91/  19.35 GFLOPS | Progress: (20/20) | 16.36 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   14.21/  20.60 GFLOPS | Progress: (4/20) | 5.04 s     [Task 13/25]  Current/Best:   18.19/  20.60 GFLOPS | Progress: (8/20) | 7.55 s     [Task 13/25]  Current/Best:   18.59/  20.60 GFLOPS | Progress: (12/20) | 10.48 s     [Task 13/25]  Current/Best:   20.64/  22.83 GFLOPS | Progress: (16/20) | 13.56 s     [Task 13/25]  Current/Best:   21.73/  22.83 GFLOPS | Progress: (20/20) | 17.39 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:    8.32/  19.89 GFLOPS | Progress: (4/20) | 7.19 s     [Task 14/25]  Current/Best:   14.35/  21.73 GFLOPS | Progress: (8/20) | 9.92 s     [Task 14/25]  Current/Best:   11.20/  21.73 GFLOPS | Progress: (12/20) | 18.95 s     [Task 14/25]  Current/Best:   14.94/  21.73 GFLOPS | Progress: (16/20) | 22.94 s     [Task 14/25]  Current/Best:   13.42/  21.73 GFLOPS | Progress: (20/20) | 25.75 s Done.
-     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   16.71/  16.71 GFLOPS | Progress: (4/20) | 7.33 s     [Task 15/25]  Current/Best:   15.35/  16.71 GFLOPS | Progress: (8/20) | 9.61 s     [Task 15/25]  Current/Best:   16.40/  16.71 GFLOPS | Progress: (12/20) | 12.56 s     [Task 15/25]  Current/Best:   17.73/  21.91 GFLOPS | Progress: (16/20) | 23.55 s     [Task 15/25]  Current/Best:   22.33/  22.33 GFLOPS | Progress: (20/20) | 26.25 s     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   11.02/  17.06 GFLOPS | Progress: (4/20) | 5.38 s     [Task 16/25]  Current/Best:    6.65/  17.06 GFLOPS | Progress: (8/20) | 7.13 s     [Task 16/25]  Current/Best:   17.78/  17.78 GFLOPS | Progress: (12/20) | 10.66 s     [Task 16/25]  Current/Best:   19.16/  19.16 GFLOPS | Progress: (16/20) | 12.47 s     [Task 16/25]  Current/Best:   18.59/  19.16 GFLOPS | Progress: (20/20
 ) | 14.61 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    9.27/  23.90 GFLOPS | Progress: (4/20) | 6.59 s     [Task 17/25]  Current/Best:   11.12/  23.90 GFLOPS | Progress: (8/20) | 10.85 s Done.
+     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:    8.82/  20.06 GFLOPS | Progress: (4/20) | 7.94 s     [Task  1/25]  Current/Best:   14.08/  20.06 GFLOPS | Progress: (8/20) | 11.37 s     [Task  1/25]  Current/Best:   15.12/  20.83 GFLOPS | Progress: (12/20) | 14.69 s     [Task  1/25]  Current/Best:   14.16/  20.83 GFLOPS | Progress: (16/20) | 17.90 s     [Task  1/25]  Current/Best:   24.67/  24.67 GFLOPS | Progress: (20/20) | 21.53 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   17.43/  19.15 GFLOPS | Progress: (4/20) | 4.04 s     [Task  2/25]  Current/Best:    7.52/  19.15 GFLOPS | Progress: (8/20) | 5.62 s     [Task  2/25]  Current/Best:   12.52/  19.15 GFLOPS | Progress: (12/20) | 7.34 s     [Task  2/25]  Current/Best:   17.30/  19.15 GFLOPS | Progress: (16/20) | 8.87 s     [Task  2/25]  Current/Best:   11.91/  19.15 GFLOPS | Progress: (20/20) | 10.65 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   17.13/  19.66 GFLOPS | Progress: (4/20) | 6.46 s     [Task  3/25]  Current/Best:    6.35/  24.92 GFLOPS | Progress: (8/20) | 9.15 s     [Task  3/25]  Current/Best:   24.99/  24.99 GFLOPS | Progress: (12/20) | 11.63 s     [Task  3/25]  Current/Best:   12.15/  24.99 GFLOPS | Progress: (16/20) | 13.86 s     [Task  3/25]  Current/Best:    3.28/  24.99 GFLOPS | Progress: (20/20) | 16.82 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   22.06/  22.06 GFLOPS | Progress: (4/20) | 5.39 s     [Task  4/25]  Current/Best:    5.73/  22.06 GFLOPS | Progress: (8/20) | 7.52 s     [Task  4/25]  Current/Best:   18.01/  22.06 GFLOPS | Progress: (12/20) | 9.35 s     [Task  4/25]  Current/Best:   13.25/  22.06 GFLOPS | Progress: (16/20) | 12.07 s     [Task  4/25]  Current/Best:   14.08/  22.06 GFLOPS | Progress: (20/20) | 14.49 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   11.05/  18.51 GFLOPS | Progress: (4/20) | 4.32 s     [Task  5/25]  Current/Best:   13.66/  18.51 GFLOPS | Progress: (8/20) | 7.27 s     [Task  5/25]  Current/Best:   14.30/  18.51 GFLOPS | Progress: (12/20) | 9.42 s     [Task  5/25]  Current/Best:    5.82/  18.51 GFLOPS | Progress: (16/20) | 11.69 s     [Task  5/25]  Current/Best:    5.18/  20.56 GFLOPS | Progress: (20/20) | 13.95 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    5.60/  19.77 GFLOPS | Progress: (4/20) | 5.00 s     [Task  6/25]  Current/Best:    2.98/  19.77 GFLOPS | Progress: (8/20) | 8.05 s     [Task  6/25]  Current/Best:   14.60/  19.77 GFLOPS | Progress: (12/20) | 11.46 s     [Task  6/25]  Current/Best:    3.54/  19.77 GFLOPS | Progress: (16/20) | 14.14 s     [Task  6/25]  Current/Best:    4.03/  19.77 GFLOPS | Progress: (20/20) | 16.71 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:    7.99/  21.41 GFLOPS | Progress: (4/20) | 5.33 s     [Task  7/25]  Current/Best:    9.74/  21.41 GFLOPS | Progress: (8/20) | 9.18 s     [Task  7/25]  Current/Best:   11.64/  21.41 GFLOPS | Progress: (12/20) | 11.51 s     [Task  7/25]  Current/Best:   12.82/  21.41 GFLOPS | Progress: (16/20) | 14.14 s     [Task  7/25]  Current/Best:   19.90/  21.41 GFLOPS | Progress: (20/20) | 16.86 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    8.88/  14.35 GFLOPS | Progress: (4/20) | 9.00 s     [Task  8/25]  Current/Best:   11.55/  14.35 GFLOPS | Progress: (8/20) | 12.95 s     [Task  8/25]  Current/Best:   12.25/  14.35 GFLOPS | Progress: (12/20) | 24.16 s     [Task  8/25]  Current/Best:   10.45/  14.75 GFLOPS | Progress: (16/20) | 26.80 s     [Task  8/25]  Current/Best:   21.19/  21.19 GFLOPS | Progress: (20/20) | 29.62 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   11.73/  19.11 GFLOPS | Progress: (4/20) | 5.45 s     [Task  9/25]  Current/Best:   13.59/  19.11 GFLOPS | Progress: (8/20) | 8.22 s     [Task  9/25]  Current/Best:   17.09/  19.11 GFLOPS | Progress: (12/20) | 13.66 s     [Task  9/25]  Current/Best:   20.00/  20.00 GFLOPS | Progress: (16/20) | 21.38 s     [Task  9/25]  Current/Best:   18.65/  20.00 GFLOPS | Progress: (20/20) | 23.34 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:    8.66/  19.36 GFLOPS | Progress: (4/20) | 5.72 s     [Task 10/25]  Current/Best:    3.55/  19.36 GFLOPS | Progress: (8/20) | 7.71 s     [Task 10/25]  Current/Best:   12.29/  19.60 GFLOPS | Progress: (12/20) | 9.63 s     [Task 10/25]  Current/Best:   13.33/  19.64 GFLOPS | Progress: (16/20) | 12.16 s     [Task 10/25]  Current/Best:    4.98/  19.64 GFLOPS | Progress: (20/20) | 14.28 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   19.87/  19.87 GFLOPS | Progress: (4/20) | 4.48 s     [Task 11/25]  Current/Best:   18.64/  19.87 GFLOPS | Progress: (8/20) | 7.04 s     [Task 11/25]  Current/Best:   20.40/  20.40 GFLOPS | Progress: (12/20) | 9.72 s     [Task 11/25]  Current/Best:    6.38/  20.40 GFLOPS | Progress: (16/20) | 12.79 s     [Task 11/25]  Current/Best:   18.71/  22.64 GFLOPS | Progress: (20/20) | 14.67 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   13.90/  21.97 GFLOPS | Progress: (4/20) | 4.32 s     [Task 12/25]  Current/Best:    3.10/  21.97 GFLOPS | Progress: (8/20) | 7.56 s     [Task 12/25]  Current/Best:    5.42/  21.97 GFLOPS | Progress: (12/20) | 11.43 s     [Task 12/25]  Current/Best:   16.34/  21.97 GFLOPS | Progress: (16/20) | 14.17 s     [Task 12/25]  Current/Best:   17.08/  22.92 GFLOPS | Progress: (20/20) | 17.58 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   14.14/  19.38 GFLOPS | Progress: (4/20) | 5.79 s     [Task 13/25]  Current/Best:    6.37/  19.38 GFLOPS | Progress: (8/20) | 8.35 s     [Task 13/25]  Current/Best:   20.09/  20.09 GFLOPS | Progress: (12/20) | 11.90 s     [Task 13/25]  Current/Best:   20.62/  20.98 GFLOPS | Progress: (16/20) | 14.89 s     [Task 13/25]  Current/Best:    6.20/  20.98 GFLOPS | Progress: (20/20) | 18.76 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   16.33/  19.75 GFLOPS | Progress: (4/20) | 6.24 s     [Task 14/25]  Current/Best:    3.19/  19.75 GFLOPS | Progress: (8/20) | 10.34 s     [Task 14/25]  Current/Best:   11.97/  19.75 GFLOPS | Progress: (12/20) | 13.12 s     [Task 14/25]  Current/Best:    9.71/  19.75 GFLOPS | Progress: (16/20) | 15.25 s     [Task 14/25]  Current/Best:   13.92/  19.75 GFLOPS | Progress: (20/20) | 17.59 s Done.
+     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   22.77/  22.77 GFLOPS | Progress: (4/20) | 5.11 s     [Task 15/25]  Current/Best:    4.87/  22.77 GFLOPS | Progress: (8/20) | 6.90 s     [Task 15/25]  Current/Best:    5.03/  22.77 GFLOPS | Progress: (12/20) | 9.12 s     [Task 15/25]  Current/Best:   12.70/  22.81 GFLOPS | Progress: (16/20) | 11.17 s     [Task 15/25]  Current/Best:   15.63/  22.81 GFLOPS | Progress: (20/20) | 14.39 s Done.
+     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:    3.07/  20.25 GFLOPS | Progress: (4/20) | 4.36 s     [Task 16/25]  Current/Best:    3.20/  20.25 GFLOPS | Progress: (8/20) | 7.55 s     [Task 16/25]  Current/Best:    9.71/  20.25 GFLOPS | Progress: (12/20) | 10.56 s     [Task 16/25]  Current/Best:   16.57/  20.25 GFLOPS | Progress: (16/20) | 13.32 s     [Task 16/25]  Current/Best:   15.74/  20.25 GFLOPS | Progress: (20/20) | 15.02 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    9.29/  10.49 GFLOPS | Progress: (4/20) | 6.08 s     [Task 17/25]  Current/Best:    6.42/  16.17 GFLOPS | Progress: (8/20) | 9.59 s     [Task 17/25]  Current/Best:   21.42/  22.24 GFLOPS | Progress: (12/20) | 11.71 s     [Task 17/25]  Current/Best:   12.17/  22.24 GFLOPS | Progress: (16/20) | 14.45 s     [Task 17/25]  Current/Best:   12.69/  22.24 GFLOPS | Progress: (20/20) | 16.66 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   12.85/  16.88 GFLOPS | Progress: (4/20) | 5.50 s     [Task 18/25]  Current/Best:   12.48/  16.88 GFLOPS | Progress: (8/20) | 7.97 s     [Task 18/25]  Current/Best:   10.85/  16.88 GFLOPS | Progress: (12/20) | 11.29 s     [Task 18/25]  Current/Best:   16.60/  19.66 GFLOPS | Progress: (16/20) | 13.36 s     [Task 18/25]  Current/Best:    9.55/  19.66 GFLOPS | Progress: (20/20) | 17.01 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    7.46/  22.24 GFLOPS | Progress: (4/20) | 5.38 s     [Task 19/25]  Current/Best:    9.13/  22.24 GFLOPS | Progress: (8/20) | 8.30 s     [Task 19/25]  Current/Best:   22.34/  22.34 GFLOPS | Progress: (12/20) | 10.89 s     [Task 19/25]  Current/Best:   18.68/  22.34 GFLOPS | Progress: (16/20) | 14.98 s     [Task 19/25]  Current/Best:   22.24/  22.34 GFLOPS | Progress: (20/20) | 18.06 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   11.04/  19.44 GFLOPS | Progress: (4/20) | 5.12 s     [Task 20/25]  Current/Best:   18.49/  19.44 GFLOPS | Progress: (8/20) | 7.12 s     [Task 20/25]  Current/Best:   13.24/  19.44 GFLOPS | Progress: (12/20) | 9.53 s     [Task 20/25]  Current/Best:   11.16/  19.44 GFLOPS | Progress: (16/20) | 21.71 s     [Task 20/25]  Current/Best:    8.63/  21.51 GFLOPS | Progress: (20/20) | 28.94 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:   17.32/  18.48 GFLOPS | Progress: (4/20) | 5.04 s     [Task 21/25]  Current/Best:    7.81/  18.83 GFLOPS | Progress: (8/20) | 9.50 s     [Task 21/25]  Current/Best:   10.02/  18.83 GFLOPS | Progress: (12/20) | 20.77 s     [Task 21/25]  Current/Best:   18.70/  18.83 GFLOPS | Progress: (16/20) | 29.56 s     [Task 21/25]  Current/Best:   13.12/  18.83 GFLOPS | Progress: (20/20)
  | 31.49 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
      Done.
-     [Task 17/25]  Current/Best:    6.34/  23.90 GFLOPS | Progress: (12/20) | 13.69 s     [Task 17/25]  Current/Best:   24.02/  24.02 GFLOPS | Progress: (16/20) | 17.09 s     [Task 17/25]  Current/Best:    5.50/  24.02 GFLOPS | Progress: (20/20) | 19.49 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   11.62/  19.76 GFLOPS | Progress: (4/20) | 7.87 s     [Task 18/25]  Current/Best:    9.11/  20.15 GFLOPS | Progress: (8/20) | 10.73 s     [Task 18/25]  Current/Best:    9.46/  20.15 GFLOPS | Progress: (12/20) | 16.23 s     [Task 18/25]  Current/Best:    6.20/  20.15 GFLOPS | Progress: (16/20) | 21.02 s     [Task 18/25]  Current/Best:   17.69/  20.15 GFLOPS | Progress: (20/20) | 22.97 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   21.95/  21.95 GFLOPS | Progress: (4/20) | 6.38 s     [Task 19/25]  Current/Best:    9.23/  21.95 GFLOPS | Progress: (8/20) | 10.96 s     [Task 19/25]  Current/Best:   12.09/  21.95 GFLOPS | Progress: (12/20) | 15.82 s     [Task 19/25]  Current/Best:   14.83/  21.95 GFLOPS | Progress: (16/20) | 19.68 s     [Task 19/25]  Current/Best:   20.50/  21.95 GFLOPS | Progress: (20/20) | 22.29 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    3.71/  23.19 GFLOPS | Progress: (4/20) | 6.55 s     [Task 20/25]  Current/Best:    7.53/  23.19 GFLOPS | Progress: (8/20) | 13.21 s     [Task 20/25]  Current/Best:    7.37/  23.19 GFLOPS | Progress: (12/20) | 17.05 s     [Task 20/25]  Current/Best:   18.43/  23.19 GFLOPS | Progress: (16/20) | 28.81 s     [Task 20/25]  Current/Best:   16.39/  23.19 GFLOPS | Progress: (20/20) | 31.98 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:    6.97/  20.30 GFLOPS | Progress: (4/20) | 8.60 s     [Task 21/25]  Current/Best:    9.92/  20.30 GFLOPS | Progress: (8/20) | 12.23 s     [Task 21/25]  Current/Best:    2.80/  20.30 GFLOPS | Progress: (12/20) | 14.51 s     [Task 21/25]  Current/Best:   19.05/  20.30 GFLOPS | Progress: (16/20) | 19.85 s     [Task 21/25]  Current/Best:   15.41/  20.30 GFLOPS | Progress: (20/
 20) | 22.02 s Done.
-     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   14.03/  21.12 GFLOPS | Progress: (4/20) | 4.64 s     [Task 22/25]  Current/Best:   21.61/  21.61 GFLOPS | Progress: (8/20) | 6.24 s     [Task 22/25]  Current/Best:    1.61/  21.61 GFLOPS | Progress: (12/20) | 9.01 s     [Task 22/25]  Current/Best:   16.24/  21.61 GFLOPS | Progress: (16/20) | 11.12 s     [Task 22/25]  Current/Best:    7.07/  21.61 GFLOPS | Progress: (20/20) | 16.10 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   19.57/  20.82 GFLOPS | Progress: (4/20) | 4.98 s     [Task 23/25]  Current/Best:   19.05/  20.82 GFLOPS | Progress: (8/20) | 8.63 s     [Task 23/25]  Current/Best:    8.36/  20.82 GFLOPS | Progress: (12/20) | 13.44 s     [Task 23/25]  Current/Best:    5.53/  20.82 GFLOPS | Progress: (16/20) | 17.48 s     [Task 23/25]  Current/Best:   13.76/  23.54 GFLOPS | Progress: (20/20) | 20.03 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    3.67/   8.26 GFLOPS | Progress: (4/20) | 13.64 s     [Task 24/25]  Current/Best:    1.17/   8.26 GFLOPS | Progress: (8/20) | 26.14 s     [Task 24/25]  Current/Best:    7.49/   8.26 GFLOPS | Progress: (12/20) | 37.15 s     [Task 24/25]  Current/Best:    3.36/   8.26 GFLOPS | Progress: (16/20) | 48.25 s Done.
-     [Task 24/25]  Current/Best:    4.03/   8.26 GFLOPS | Progress: (20/20) | 59.32 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    6.30/   8.82 GFLOPS | Progress: (4/20) | 5.46 s     [Task 25/25]  Current/Best:    9.74/   9.74 GFLOPS | Progress: (8/20) | 16.44 s     [Task 25/25]  Current/Best:    5.80/   9.74 GFLOPS | Progress: (12/20) | 28.63 s     [Task 25/25]  Current/Best:    9.15/   9.74 GFLOPS | Progress: (16/20) | 31.58 s     [Task 25/25]  Current/Best:    4.24/   9.74 GFLOPS | Progress: (20/20) | 42.27 s
+     [Task 22/25]  Current/Best:    3.82/  14.85 GFLOPS | Progress: (4/20) | 5.01 s     [Task 22/25]  Current/Best:   19.31/  19.31 GFLOPS | Progress: (8/20) | 7.34 s     [Task 22/25]  Current/Best:   11.24/  19.31 GFLOPS | Progress: (12/20) | 9.59 s     [Task 22/25]  Current/Best:   19.38/  19.38 GFLOPS | Progress: (16/20) | 12.84 s     [Task 22/25]  Current/Best:   19.80/  19.80 GFLOPS | Progress: (20/20) | 23.91 s     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   14.17/  20.46 GFLOPS | Progress: (4/20) | 5.82 s     [Task 23/25]  Current/Best:   24.32/  24.32 GFLOPS | Progress: (8/20) | 11.57 s     [Task 23/25]  Current/Best:   10.93/  24.32 GFLOPS | Progress: (12/20) | 15.99 s     [Task 23/25]  Current/Best:   19.05/  24.32 GFLOPS | Progress: (16/20) | 18.40 s     [Task 23/25]  Current/Best:   11.95/  24.32 GFLOPS | Progress: (20/20) | 22.79 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    3.91/   7.02 GFLOPS | Progress: (4/20) | 13.59 s     [Task 24/25]  Current/Best:    2.51/   7.02 GFLOPS | Progress: (8/20) | 26.32 s     [Task 24/25]  Current/Best:    6.02/   7.02 GFLOPS | Progress: (12/20) | 37.31 s     [Task 24/25]  Current/Best:    6.09/   7.02 GFLOPS | Progress: (16/20) | 39.78 s     [Task 24/25]  Current/Best:    6.96/   7.02 GFLOPS | Progress: (20/20) | 50.50 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    5.70/   5.70 GFLOPS | Progress: (4/20) | 7.73 s     [Task 25/25]  Current/Best:    1.56/   8.76 GFLOPS | Progress: (8/20) | 9.39 s     [Task 25/25]  Current/Best:    8.08/   8.76 GFLOPS | Progress: (12/20) | 15.79 s     [Task 25/25]  Current/Best:    3.12/   8.76 GFLOPS | Progress: (16/20) | 17.26 s     [Task 25/25]  Current/Best:    6.04/   8.76 GFLOPS | Progress: (20/
 20) | 28.22 s
 
 
 
@@ -675,6 +674,7 @@ model using optimized operators to speed up our computations.
 
      Done.
      Done.
+     Done.
 
 
 
@@ -708,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
 
  .. code-block:: none
 
-    class='n02123045 tabby, tabby cat' with probability=0.621103
-    class='n02123159 tiger cat' with probability=0.356379
+    class='n02123045 tabby, tabby cat' with probability=0.621105
+    class='n02123159 tiger cat' with probability=0.356378
     class='n02124075 Egyptian cat' with probability=0.019712
     class='n02129604 tiger, Panthera tigris' with probability=0.001215
     class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 378.9396312799727, 'median': 377.57532649993664, 'std': 2.9796437501239397}
-    unoptimized: {'mean': 475.49258002003626, 'median': 475.52426089996516, 'std': 1.1890464750872796}
+    optimized: {'mean': 389.6782844599693, 'median': 389.64063909998004, 'std': 1.1335924221066218}
+    unoptimized: {'mean': 468.36341127000196, 'median': 467.8212777500448, 'std': 1.6310418364036179}
 
 
 
@@ -790,7 +790,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  21.521 seconds)
+   **Total running time of the script:** ( 12 minutes  38.794 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 e642c13e7d..29cf89b7f0 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
 
-    1.321e-07 secs/op
+    1.204e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 2bc355cb83..3a0393b691 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, 0x238cfc30)), stage(b, placeholder(b, 0x23eb4090)), 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, 0x134e8d70)), stage(b, placeholder(b, 0x124f87a0)), 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 36abed38b2..4fcf62d496 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
 =================
-**16:47.727** total execution time for **tutorial** files:
+**16:19.683** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:21.521 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 12:38.794 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:18.012 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:31.166 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 01:00.062 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:58.830 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:43.352 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:42.289 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:22.716 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:26.583 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.956 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.974 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.902 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.869 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.205 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.178 | 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 8409b27d72..a0a07bdaf3 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -286,7 +286,7 @@ helper function to run a profile of the TVM generated code.
  .. code-block:: none
 
     Numpy running time: 0.000006
-    naive: 0.000006
+    naive: 0.000007
 
 
 
@@ -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    5.9229100043012294e-06                   1.0
-                   naive              5.7601e-06      0.9725118220295436
-                parallel              6.0327e-06      1.0185364956784826
-                  vector             3.81147e-05       6.435130699659632
+                   numpy    6.037990006007021e-06                    1.0
+                   naive    7.2398000000000005e-06    1.1990414016580573
+                parallel    6.082900000000001e-06      1.007437904658388
+                  vector             3.92014e-05       6.492458576612361
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.016413
+    Numpy running time: 0.015313
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.429024
+    none: 3.402779
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.300595
+    blocking: 0.283734
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.290542
+    vectorization: 0.261641
     # 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: 0.115112
+    loop permutation: 0.109170
     # 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: 0.103810
+    array packing: 0.102434
     # 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: 0.098264
+    block caching: 0.097154
     # 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: 0.116092
+    parallelization: 0.115201
     # 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      3.4290236333000004                     1.0
-                blocking            0.3005950691      0.0876619998126742
-           vectorization            0.2905422141     0.08473030377466076
-        loop permutation            0.1151115869    0.033569785224612084
-           array packing            0.1038104401    0.030274052092226503
-           block caching            0.0982635256    0.028656415384758903
-         parallelization            0.1160921442     0.03385574338788561
+                    none             3.402779083                     1.0
+                blocking            0.2837340743      0.0833830429126333
+           vectorization             0.261640903     0.07689035832714973
+        loop permutation     0.10916956789999999    0.032082472954357226
+           array packing             0.102434403    0.030103159947042615
+           block caching            0.0971541492    0.028551412486744737
+         parallelization     0.11520056110000002    0.033854845786355156
 
 
 
@@ -1594,11 +1594,6 @@ operations with tunable parameters that allows you to automatically optimize
 the computation for specific platforms.
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 1 minutes  0.062 seconds)
-
-
 .. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
 
 .. only:: html
diff --git a/docs/commit_hash b/docs/commit_hash
index 0e79e5cffa..21ac1f36b4 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-78ba385fcb38aa6181c35cccb5d316543d5f59ac
+a39067bf7a8b5d28965cd8d5127c35a30640d94e
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 92f479277d..b908a4a0b1 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -604,7 +604,7 @@ 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  35.564 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  33.102 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_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 77013239a3..31fc4575e6 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,13 +468,14 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &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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- 58%|#####7    | 24.0M/41.5M [00:00&lt;00:00, 38.2MB/s]
- 77%|#######7  | 32.0M/41.5M [00:00&lt;00:00, 41.6MB/s]
- 96%|#########6| 40.0M/41.5M [00:00&lt;00:00, 47.1MB/s]
-100%|##########| 41.5M/41.5M [00:00&lt;00:00, 46.5MB/s]
+ 15%|#5        | 6.33M/41.5M [00:00&lt;00:00, 44.8MB/s]
+ 26%|##5       | 10.6M/41.5M [00:00&lt;00:00, 37.8MB/s]
+ 35%|###4      | 14.3M/41.5M [00:00&lt;00:00, 33.8MB/s]
+ 42%|####2     | 17.5M/41.5M [00:00&lt;00:00, 32.8MB/s]
+ 58%|#####7    | 24.0M/41.5M [00:00&lt;00:00, 33.4MB/s]
+ 77%|#######7  | 32.0M/41.5M [00:00&lt;00:00, 34.0MB/s]
+ 92%|#########2| 38.3M/41.5M [00:01&lt;00:00, 30.6MB/s]
+100%|##########| 41.5M/41.5M [00:01&lt;00:00, 33.8MB/s]
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 23f762c604..12b26b40e5 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,7 +503,6 @@ To begin, we’ll install PaddlePaddle&gt;=2.1.3:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>TVM prediction top-1 id: 282, class name:  282: &#39;tiger cat&#39;,
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  3.848 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-paddle-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/16269b77359771348d507395692524cf/from_paddle.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_paddle.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index 4b72af4ec9..28a869af9d 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,14 +451,15 @@ 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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- 97%|#########6| 43.3M/44.7M [00:01&lt;00:00, 45.9MB/s]
-100%|##########| 44.7M/44.7M [00:01&lt;00:00, 44.0MB/s]
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+ 72%|#######1  | 32.0M/44.7M [00:00&lt;00:00, 37.8MB/s]
+ 86%|########5 | 38.3M/44.7M [00:01&lt;00:00, 40.9MB/s]
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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 8792ec1543..c58b245446 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ banana (score = 0.00022)
 desk (score = 0.00019)
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  32.694 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  29.219 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-tensorflow-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/7f1d3d1b878694c201c614c807cdebc8/from_tensorflow.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_tensorflow.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
index 9d17037dd2..4a481d3f37 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>06:46.636</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:30.670</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
 <table class="docutils align-default">
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@@ -369,39 +369,39 @@
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 <tr class="row-even"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
-<td><p>00:11.359</p></td>
+<td><p>00:10.670</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.864</p></td>
+<td><p>00:02.824</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 efcfe46853..469a7f8658 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)
- 3996.1410    3995.6622    3999.1226    3994.1432      1.6155
+ 3999.7103    3995.9357    4032.5900    3993.6759     11.1716
 </pre></div>
 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  18.222 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-model-on-adreno-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/2387d8448da213eb625e6b3d916327d4/deploy_model_on_adreno.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_model_on_adreno.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
index e983943dbf..9c99094941 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -458,22 +458,24 @@ 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 2167c0db1f..fe7a97a7b0 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  15.1777      15.1013      15.8188      14.6574       0.4726
+  14.7145      14.7319      15.1853      14.1929       0.3529
 </pre></div>
 </div>
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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
index 783ad04f26..75732794be 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,34 +474,32 @@ be unstable.</p>
 Downloading: &quot;https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth&quot; to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
 
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 /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).
@@ -592,7 +590,7 @@ 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  41.872 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  28.971 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 6a65ab1be5..e8342ab79f 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,9 +515,8 @@ 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
 
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 </pre></div>
 </div>
 </div>
@@ -608,7 +607,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  86.3359      86.2981      86.9796      86.0648       0.1670
+  85.9128      85.9099      86.7780      85.5375       0.2521
 </pre></div>
 </div>
 <div class="admonition note">
@@ -647,7 +646,7 @@ 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  31.127 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  28.210 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 7fd7591ee1..3fd442dc4a 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)
-  107.4984     107.4548     111.3202     106.8292      0.4549
+  106.6470     106.5390     110.3953     106.1718      0.5160
 </pre></div>
 </div>
 <div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 56f2f39f38..c9a8d002cc 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>10:04.505</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:43.363</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 86%" />
@@ -369,35 +369,35 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:41.872</p></td>
+<td><p>03:28.971</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:31.127</p></td>
+<td><p>01:28.210</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:18.550</p></td>
+<td><p>01:18.222</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:52.677</p></td>
+<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>00:51.797</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>00:52.569</p></td>
+<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>00:49.804</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>00:47.157</p></td>
+<td><p>00:46.743</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:30.425</p></td>
+<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>00:29.863</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:30.121</p></td>
+<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>00:29.745</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index f336a4dbd1..907dec4840 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:04.190</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:04.069</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,15 +369,15 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:02.922</p></td>
+<td><p>00:02.840</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.260</p></td>
+<td><p>00:01.221</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
-<td><p>00:00.008</p></td>
+<td><p>00:00.007</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 1a75b5759e..89009a86a4 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -545,10 +545,10 @@ profile the execution time of each passes.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24778us [24778us] (48.27%; 48.27%)
-FoldScaleAxis: 26554us [11us] (51.73%; 51.73%)
-        FoldConstant: 26543us [1829us] (51.71%; 99.96%)
-                InferType: 24714us [24714us] (48.15%; 93.11%)
+InferType: 24365us [24365us] (48.59%; 48.59%)
+FoldScaleAxis: 25779us [8us] (51.41%; 51.41%)
+        FoldConstant: 25771us [1784us] (51.39%; 99.97%)
+                InferType: 23987us [23987us] (47.84%; 93.08%)
 </pre></div>
 </div>
 </div>
@@ -570,10 +570,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24530us [24530us] (48.16%; 48.16%)
-FoldScaleAxis: 26407us [10us] (51.84%; 51.84%)
-        FoldConstant: 26397us [1883us] (51.82%; 99.96%)
-                InferType: 24514us [24514us] (48.13%; 92.87%)
+InferType: 24198us [24198us] (48.32%; 48.32%)
+FoldScaleAxis: 25881us [7us] (51.68%; 51.68%)
+        FoldConstant: 25874us [1819us] (51.67%; 99.97%)
+                InferType: 24055us [24055us] (48.03%; 92.97%)
 </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 97f42bf1b4..e6b9a74597 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: 51.802368 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.473312 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 4f3b152ac1..b16adfc86b 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: 12.265524 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.265562 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 e29d323fc9..414eb0f312 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: 0.016919
-Baseline: 3.333343
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.015682
+Baseline: 3.405530
 </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: 0.306124
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.281121
 </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: 0.299488
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.256898
 </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: 0.118820
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.112711
 </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: 0.105204
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.104018
 </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: 0.098676
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.102790
 </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: 0.116820
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.116461
 </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 d67ef20b2a..45196b403d 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>00:32.933</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:32.103</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,15 +369,15 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></td>
-<td><p>00:29.893</p></td>
+<td><p>00:29.070</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></td>
-<td><p>00:01.816</p></td>
+<td><p>00:01.800</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></td>
-<td><p>00:01.224</p></td>
+<td><p>00:01.233</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
index fd9ca3a627..c017ba7cac 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>
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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 522e462d5c..070ab03619 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -923,7 +923,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-   3.1976       3.1976       3.1979       3.1971       0.0003
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@@ -945,7 +945,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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 <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
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@@ -945,7 +945,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
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-  719.9216     720.2829     720.6908     718.7912      0.8165
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@@ -967,7 +967,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
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@@ -360,7 +360,7 @@
             
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 <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>
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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
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@@ -630,7 +630,7 @@ and measure running time.</p>
 
 Best config:
 ,None
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
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 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
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-Total_time                                    -                                             301.172   -        -                  -       -        -
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+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.807     0.94     (1, 6, 10, 10)     1       1        [2.807]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.939     0.314    (1, 1, 10, 10, 3)  1       1        [0.939]
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@@ -719,13 +719,13 @@ Total_time                                    -
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  98.062    97.346   (1, 6, 10, 10, 1)  2       1        [98.062]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.741     1.728    (1, 6, 10, 10)     1       1        [1.741]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.933     0.926    (1, 1, 10, 10, 3)  1       1        [0.933]
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+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  131.3     98.07    (1, 6, 10, 10, 1)  2       1        [131.3]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.75      1.307    (1, 6, 10, 10)     1       1        [1.75]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.833     0.622    (1, 3, 10, 10, 1)  1       1        [0.833]
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diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
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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
 
   0%|          | 0.00/3.42M [00:00&lt;?, ?B/s]
- 61%|######    | 2.09M/3.42M [00:00&lt;00:00, 18.6MB/s]
-100%|##########| 3.42M/3.42M [00:00&lt;00:00, 28.9MB/s]
+ 61%|######    | 2.09M/3.42M [00:00&lt;00:00, 14.4MB/s]
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   device=storage.device,
 /workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -604,7 +604,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
 Torch top-1 id: 282, class name: tiger cat
 </pre></div>
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--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -543,7 +543,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
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@@ -603,8 +603,8 @@ objects to other stuff? We can display some examples from our datasets using <co
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+328/328 - 34s - loss: 0.1051 - accuracy: 0.9638 - val_loss: 0.1492 - val_accuracy: 0.9460 - 34s/epoch - 105ms/step
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@@ -986,7 +986,7 @@ as intended.</p>
 <p>From here, we could modify the model to read live images from the camera - we have another
 Arduino tutorial for how to do that <a class="reference external" href="https://github.com/guberti/tvm-arduino-demos/tree/master/examples/person_detection">on GitHub</a>. Alternatively, we could also
 <a class="reference external" href="https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html">use TVM’s autotuning capabilities</a> to dramatically improve the model’s performance.</p>
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--- 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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diff --git a/docs/how_to/work_with_schedules/sg_execution_times.html b/docs/how_to/work_with_schedules/sg_execution_times.html
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+<div class="line"><a name="l00223"></a><span class="lineno"><a class="line" href="classtvm_1_1runtime_1_1SessionObj.html#a494925bb1a3663eb1e54816ca6f9f200">  223</a></span>&#160;  TVM_DLL <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1runtime_1_1SessionObj.html#a494925bb1a3663eb1e54816ca6f9f200">Shutdown</a>() = 0;</div>
+<div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classtvm_1_1runtime_1_1SessionObj.html#adc861f7a3281e22b59fb350afb7d2bd3">  229</a></span>&#160;  TVM_DLL <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1runtime_1_1SessionObj.html#adc861f7a3281e22b59fb350afb7d2bd3">InitCCL</a>(<a class="code" href="classtvm_1_1runtime_1_1String.html">String</a> ccl, <a class="code" href="classtvm_1_1runtime_1_1Sh [...]
+<div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="classtvm_1_1runtime_1_1SessionObj.html#a7cf3ceedcfd45a5fabd2a80b30b722ca">  236</a></span>&#160;  TVM_DLL <span class="keyword">virtual</span> <a class="code" href="classtvm_1_1runtime_1_1TVMRetValue.html">TVMRetValue</a> <a class="code" href="classtvm_1_1runtime_1_1SessionObj.html#a7cf3ceedcfd45a5fabd2a80b30b722ca">DebugGetFromRemote</a>(int64_t reg_id, <span class="keywordtype">int</span> worker_id) = 0;</div>
+<div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classtvm_1_1runtime_1_1SessionObj.html#a4fa953e3a8b6e0a0652dba7b3ab060ce">  243</a></span>&#160;  TVM_DLL <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1runtime_1_1SessionObj.html#a4fa953e3a8b6e0a0652dba7b3ab060ce">DebugSetRegister</a>(int64_t reg_id, <a class="code" href="classtvm_1_1runtime_1_1TVMArgValue.html">TVMArgValue</a> value, <span clas [...]
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index 046f6cf49e..70c264c127 100644
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-<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#aad3685684365b05e1d1511461f8ada82">   86</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#aad3685684365b05e1d1511461f8ada82">AllGather</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> send, <a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> recv);</div>
+<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#a8be7ff3434b2a2d4365f36d94c1dc830">   65</a></span>&#160;TVM_DLL <a class="code" href="classtvm_1_1runtime_1_1Module.html">Module</a> <a class="code" href="namespacetvm_1_1runtime.html#a8be7ff3434b2a2d4365f36d94c1dc830">LoadVMModule</a>(std::string path, <a class="code" href="namespacetvm.html#a7c2095aed90b2129ba631b90103313a2">Device</a> device);</div>
+<div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#a1a7aed6ffaafbb6adb9df67bfaa44cde">   73</a></span>&#160;TVM_DLL <a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> <a class="code" href="namespacetvm_1_1runtime.html#a1a7aed6ffaafbb6adb9df67bfaa44cde">DiscoEmptyNDArray</a>(<a class="code" href="classtvm_1_1runtime_1_1ShapeTuple.html">ShapeTuple</a> <a class="code" href="namespacetvm_1_1topi.html#af30c02f3a3f [...]
+<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#ad615c644745d2b1e9097e93274760420">   80</a></span>&#160;TVM_DLL <span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#ad615c644745d2b1e9097e93274760420">AllReduce</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> send, <a class="code" href="namespacetvm_1_1runtime.html#a9ebb65e06d120de112c54fdcd10c27d7">ReduceKind</a>  [...]
+<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#aad3685684365b05e1d1511461f8ada82">   86</a></span>&#160;TVM_DLL <span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#aad3685684365b05e1d1511461f8ada82">AllGather</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> send, <a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> recv);</div>
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-<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#af171cee6bb9e18f52c1f6b534c4ebbd9">  106</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#af171cee6bb9e18f52c1f6b534c4ebbd9">GatherToWorker0</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> send, <a class="code" href="classtvm_1_1runtime_1_1Optional.html">Optional&lt;NDArray&gt;</a> recv);</div>
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+<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#af171cee6bb9e18f52c1f6b534c4ebbd9">  106</a></span>&#160;TVM_DLL <span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#af171cee6bb9e18f52c1f6b534c4ebbd9">GatherToWorker0</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> send, <a class="code" href="classtvm_1_1runtime_1_1Optional.html">Optional&lt;NDArray&gt;</a> recv);</div>
+<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#ab6b211d99323b4e09a76bdb6b6f133cb">  111</a></span>&#160;TVM_DLL <span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#ab6b211d99323b4e09a76bdb6b6f133cb">RecvFromWorker0</a>(<a class="code" href="classtvm_1_1runtime_1_1NDArray.html">NDArray</a> buffer);</div>
+<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#a11d7c335ce64b50b3e6cee085d55c8fc">  113</a></span>&#160;TVM_DLL <span class="keywordtype">int</span> <a class="code" href="namespacetvm_1_1runtime.html#a11d7c335ce64b50b3e6cee085d55c8fc">WorkerId</a>();</div>
+<div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="namespacetvm_1_1runtime.html#a65f369b9882f8ec57826acd5f86c4404">  119</a></span>&#160;TVM_DLL <span class="keywordtype">void</span> <a class="code" href="namespacetvm_1_1runtime.html#a65f369b9882f8ec57826acd5f86c4404">SyncWorker</a>();</div>
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diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index c9eabfd114..c2a81400e6 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>
 
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+<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 [...]
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@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
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+<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>
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diff --git a/docs/reference/api/typedoc/classes/ArtifactCache.html b/docs/reference/api/typedoc/classes/ArtifactCache.html
index 36cc1cc0f5..84f0aa8921 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -27,7 +27,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1001">runtime.ts:1001</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1001">runtime.ts:1001</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></li></ul></section></section>
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 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#addToCache">addToCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" 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">
@@ -92,7 +92,7 @@
 <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">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" 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 @@
 <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">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1009">runtime.ts:1009</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1009">runtime.ts:1009</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">
@@ -124,7 +124,7 @@
 <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">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1036">runtime.ts:1036</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1036">runtime.ts:1036</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 7a825b2eeb..0834236e23 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/78ba385fc/web/src/runtime.ts#L411">runtime.ts:411</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L411">runtime.ts:411</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/78ba385fc/web/src/runtime.ts#L419">runtime.ts:419</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L419">runtime.ts:419</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/78ba385fc/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L415">runtime.ts:415</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/78ba385fc/web/src/runtime.ts#L413">runtime.ts:413</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L413">runtime.ts:413</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/78ba385fc/web/src/runtime.ts#L417">runtime.ts:417</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L417">runtime.ts:417</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/78ba385fc/web/src/runtime.ts#L434">runtime.ts:434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L434">runtime.ts:434</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 @@
 <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/78ba385fc/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L425">runtime.ts:425</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 0e6e8929dc..77985da014 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/78ba385fc/web/src/runtime.ts#L351">runtime.ts:351</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L351">runtime.ts:351</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 @@
 <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/78ba385fc/web/src/runtime.ts#L359">runtime.ts:359</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L359">runtime.ts:359</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/78ba385fc/web/src/runtime.ts#L355">runtime.ts:355</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L355">runtime.ts:355</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/78ba385fc/web/src/runtime.ts#L353">runtime.ts:353</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L353">runtime.ts:353</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/78ba385fc/web/src/runtime.ts#L378">runtime.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L378">runtime.ts:378</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/78ba385fc/web/src/runtime.ts#L385">runtime.ts:385</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L385">runtime.ts:385</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 d00586b565..eedf910dea 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/78ba385fc/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1072">runtime.ts:1072</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">
@@ -145,24 +145,24 @@ 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/78ba385fc/web/src/runtime.ts#L1103">runtime.ts:1103</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1103">runtime.ts:1103</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/78ba385fc/web/src/runtime.ts#L1075">runtime.ts:1075</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1075">runtime.ts:1075</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/78ba385fc/web/src/runtime.ts#L1074">runtime.ts:1074</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1074">runtime.ts:1074</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/78ba385fc/web/src/runtime.ts#L1073">runtime.ts:1073</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1073">runtime.ts:1073</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>
@@ -198,7 +198,7 @@ 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/78ba385fc/web/src/runtime.ts#L1870">runtime.ts:1870</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1870">runtime.ts:1870</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">
@@ -223,7 +223,7 @@ 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/78ba385fc/web/src/runtime.ts#L1857">runtime.ts:1857</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1857">runtime.ts:1857</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">
@@ -244,7 +244,7 @@ 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/78ba385fc/web/src/runtime.ts#L1887">runtime.ts:1887</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1887">runtime.ts:1887</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">
@@ -261,7 +261,7 @@ 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/78ba385fc/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncifyEnabled" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>asyncify<wbr/>Enabled</span><a href="#asyncifyEnabled" 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">
@@ -272,7 +272,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The asynctify mode toggle</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1171">runtime.ts:1171</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1171">runtime.ts:1171</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">
@@ -299,7 +299,7 @@ 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/78ba385fc/web/src/runtime.ts#L1236">runtime.ts:1236</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1236">runtime.ts:1236</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">
@@ -309,7 +309,7 @@ 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/78ba385fc/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/a39067bf7/web/src/runtime.ts#L1195">runtime.ts:1195</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">
@@ -344,7 +344,7 @@ 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/78ba385fc/web/src/runtime.ts#L1146">runtime.ts:1146</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1146">runtime.ts:1146</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">
@@ -361,7 +361,7 @@ 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/78ba385fc/web/src/runtime.ts#L1895">runtime.ts:1895</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1895">runtime.ts:1895</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">
@@ -371,7 +371,7 @@ 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/78ba385fc/web/src/runtime.ts#L1926">runtime.ts:1926</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1926">runtime.ts:1926</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">
@@ -388,7 +388,7 @@ 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/78ba385fc/web/src/runtime.ts#L1737">runtime.ts:1737</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1737">runtime.ts:1737</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">
@@ -406,7 +406,7 @@ 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/78ba385fc/web/src/runtime.ts#L1414">runtime.ts:1414</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1414">runtime.ts:1414</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">
@@ -432,7 +432,7 @@ 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/78ba385fc/web/src/runtime.ts#L1263">runtime.ts:1263</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1263">runtime.ts:1263</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>
 <ul class="tsd-signatures">
@@ -454,7 +454,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1729">runtime.ts:1729</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1729">runtime.ts:1729</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">
@@ -467,7 +467,7 @@ 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/78ba385fc/web/src/runtime.ts#L1175">runtime.ts:1175</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1175">runtime.ts:1175</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">
@@ -493,7 +493,7 @@ 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/78ba385fc/web/src/runtime.ts#L1757">runtime.ts:1757</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1757">runtime.ts:1757</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">
@@ -506,7 +506,7 @@ a value to parent scope.</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/78ba385fc/web/src/runtime.ts#L1206">runtime.ts:1206</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1206">runtime.ts:1206</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">
@@ -532,7 +532,7 @@ a value to parent scope.</p>
 <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">any</span><span class="tsd-signature-symbol">&gt;</span></h4><p>The meta data</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1505">runtime.ts:1505</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1505">runtime.ts:1505</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">
@@ -550,7 +550,7 @@ a value to parent scope.</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/78ba385fc/web/src/runtime.ts#L1351">runtime.ts:1351</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1351">runtime.ts:1351</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">
@@ -571,7 +571,7 @@ a value to parent scope.</p>
 </div></li></ul></div>
 <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/78ba385fc/web/src/runtime.ts#L1442">runtime.ts:1442</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1442">runtime.ts:1442</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">
@@ -589,7 +589,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>Parameters read.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1453">runtime.ts:1453</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1453">runtime.ts:1453</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">
@@ -606,7 +606,7 @@ 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/78ba385fc/web/src/runtime.ts#L2152">runtime.ts:2152</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2152">runtime.ts:2152</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">
@@ -624,7 +624,7 @@ 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/78ba385fc/web/src/runtime.ts#L1386">runtime.ts:1386</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1386">runtime.ts:1386</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">
@@ -635,7 +635,7 @@ 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/78ba385fc/web/src/runtime.ts#L1279">runtime.ts:1279</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1279">runtime.ts:1279</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">
@@ -653,7 +653,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>The created shape tuple.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1960">runtime.ts:1960</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">
@@ -671,7 +671,7 @@ 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/78ba385fc/web/src/runtime.ts#L1951">runtime.ts:1951</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1951">runtime.ts:1951</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">
@@ -691,7 +691,7 @@ 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/78ba385fc/web/src/runtime.ts#L1939">runtime.ts:1939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1939">runtime.ts:1939</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">
@@ -716,7 +716,7 @@ 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/78ba385fc/web/src/runtime.ts#L1249">runtime.ts:1249</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1249">runtime.ts:1249</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">
@@ -726,7 +726,7 @@ alive when exit the current scope.</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/78ba385fc/web/src/runtime.ts#L1493">runtime.ts:1493</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1493">runtime.ts:1493</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">
@@ -744,7 +744,7 @@ 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/78ba385fc/web/src/runtime.ts#L1466">runtime.ts:1466</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1466">runtime.ts:1466</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">
@@ -762,7 +762,7 @@ 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/78ba385fc/web/src/runtime.ts#L1475">runtime.ts:1475</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1475">runtime.ts:1475</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">
@@ -785,7 +785,7 @@ 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/78ba385fc/web/src/runtime.ts#L1484">runtime.ts:1484</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1484">runtime.ts:1484</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">
@@ -813,7 +813,7 @@ These functions contains explicit continuation</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/78ba385fc/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncifyFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Asyncify<wbr/>Func</span><a href="#registerAsyncifyFunc" 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">
@@ -852,7 +852,7 @@ The wasm needs to be compiled with Asynctify</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/78ba385fc/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" 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">
@@ -875,7 +875,7 @@ The wasm needs to be compiled with Asynctify</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/78ba385fc/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" 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">
@@ -892,7 +892,7 @@ The wasm needs to be compiled with Asynctify</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/78ba385fc/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" 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">
@@ -917,7 +917,7 @@ The wasm needs to be compiled with Asynctify</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/78ba385fc/web/src/runtime.ts#L1997">runtime.ts:1997</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1997">runtime.ts:1997</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">
@@ -927,7 +927,7 @@ The wasm needs to be compiled with Asynctify</p>
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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/78ba385fc/web/src/runtime.ts#L1184">runtime.ts:1184</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1184">runtime.ts:1184</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" 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">
@@ -953,7 +953,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1836">runtime.ts:1836</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1836">runtime.ts:1836</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" 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">
@@ -975,7 +975,7 @@ The wasm needs to be compiled with Asynctify</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The sampled index.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1847">runtime.ts:1847</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>
 <ul class="tsd-signatures">
@@ -997,7 +997,7 @@ The wasm needs to be compiled with Asynctify</p>
 <h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><p>The created scalar.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1719">runtime.ts:1719</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1719">runtime.ts:1719</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2290">runtime.ts:2290</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1824">runtime.ts:1824</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1904">runtime.ts:1904</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1272">runtime.ts:1272</a></li></ul></aside></li></ul></section>
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@@ -1089,7 +1089,7 @@ 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/78ba385fc/web/src/runtime.ts#L1673">runtime.ts:1673</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1673">runtime.ts:1673</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>
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@@ -1107,7 +1107,7 @@ 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/78ba385fc/web/src/runtime.ts#L1397">runtime.ts:1397</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1397">runtime.ts:1397</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>
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@@ -1125,7 +1125,7 @@ System lib is a global module that contains self register functions in startup.<
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1969">runtime.ts:1969</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1969">runtime.ts:1969</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
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@@ -1155,7 +1155,7 @@ 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/78ba385fc/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
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@@ -1172,7 +1172,7 @@ 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/78ba385fc/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
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@@ -1205,7 +1205,7 @@ System lib is a global module that contains self register functions in startup.<
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapAsyncifyPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Asyncify<wbr/>Packed<wbr/>Func</span><a href="#wrapAsyncifyPackedFunc" 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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@@ -1228,7 +1228,7 @@ to make sure you use await when calling the funciton.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L2024">runtime.ts:2024</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/LinearCongruentialGenerator.html b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
index 7bc02f5d42..5904fe568a 100644
--- a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
+++ b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
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 <ul class="tsd-hierarchy">
 <li><span class="target">LinearCongruentialGenerator</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/support.ts#L87">support.ts:87</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L87">support.ts:87</a></li></ul></aside>
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 <h4 class="tsd-returns-title">Returns <a href="LinearCongruentialGenerator.html" class="tsd-signature-type tsd-kind-class">LinearCongruentialGenerator</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/support.ts#L97">support.ts:97</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L97">support.ts:97</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>increment</span><a href="#increment" 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/78ba385fc/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="modulus" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">modulus</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="multiplier" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>multiplier</span><a href="#multiplier" 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/78ba385fc/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L89">support.ts:89</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="nextInt" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
 </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/78ba385fc/web/src/support.ts#L126">support.ts:126</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L126">support.ts:126</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="randomFloat" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>random<wbr/>Float</span><a href="#randomFloat" 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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@@ -100,7 +100,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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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/78ba385fc/web/src/support.ts#L140">support.ts:140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L140">support.ts:140</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>set<wbr/>Seed</span><a href="#setSeed" 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 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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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/78ba385fc/web/src/support.ts#L110">support.ts:110</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/support.ts#L110">support.ts:110</a></li></ul></aside></li></ul></section></section></div>
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 528137abf2..8f9085e54a 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/78ba385fc/web/src/runtime.ts#L699">runtime.ts:699</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L699">runtime.ts:699</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">
@@ -73,7 +73,7 @@
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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/78ba385fc/web/src/runtime.ts#L704">runtime.ts:704</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L704">runtime.ts:704</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>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L714">runtime.ts:714</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L714">runtime.ts:714</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>
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@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L742">runtime.ts:742</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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@@ -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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L729">runtime.ts:729</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L729">runtime.ts:729</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>
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@@ -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">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L776">runtime.ts:776</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 a8975da169..d39f0259b5 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
+++ b/docs/reference/api/typedoc/classes/NDArray.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L462">runtime.ts:462</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="device" class="tsd-anchor"></a>
@@ -85,35 +85,35 @@
 <div class="tsd-comment tsd-typography"><p>Device of the array.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
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 <div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" 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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L450">runtime.ts:450</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L450">runtime.ts:450</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/78ba385fc/web/src/runtime.ts#L562">runtime.ts:562</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L562">runtime.ts:562</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/78ba385fc/web/src/runtime.ts#L606">runtime.ts:606</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L606">runtime.ts:606</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>
 <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/78ba385fc/web/src/runtime.ts#L547">runtime.ts:547</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L547">runtime.ts:547</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/78ba385fc/web/src/runtime.ts#L540">runtime.ts:540</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L540">runtime.ts:540</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">
@@ -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/78ba385fc/web/src/runtime.ts#L528">runtime.ts:528</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L528">runtime.ts:528</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>
 <ul class="tsd-signatures">
@@ -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/78ba385fc/web/src/runtime.ts#L672">runtime.ts:672</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L672">runtime.ts:672</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>
 <ul class="tsd-signatures">
@@ -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/78ba385fc/web/src/runtime.ts#L641">runtime.ts:641</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L641">runtime.ts:641</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/a39067bf7/web/src/runtime.ts#L517">runtime.ts:517</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/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 050f279c76..1912219498 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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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/78ba385fc/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/a39067bf7/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 739dba714e..38adce61a7 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/78ba385fc/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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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/78ba385fc/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L295">runtime.ts:295</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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L291">runtime.ts:291</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 3efc26a843..40cd953495 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/78ba385fc/web/src/runtime.ts#L873">runtime.ts:873</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L873">runtime.ts:873</a></li></ul></aside>
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@@ -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/78ba385fc/web/src/runtime.ts#L874">runtime.ts:874</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L874">runtime.ts:874</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/78ba385fc/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L804">runtime.ts:804</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/78ba385fc/web/src/runtime.ts#L893">runtime.ts:893</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L893">runtime.ts:893</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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L819">runtime.ts:819</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/78ba385fc/web/src/runtime.ts#L885">runtime.ts:885</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L885">runtime.ts:885</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/78ba385fc/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L827">runtime.ts:827</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/78ba385fc/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index fd03c68de4..5ad6fa1a0b 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/78ba385fc/web/src/runtime.ts#L789">runtime.ts:789</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L789">runtime.ts:789</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">
@@ -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/78ba385fc/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L794">runtime.ts:794</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/78ba385fc/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L804">runtime.ts:804</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/78ba385fc/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L819">runtime.ts:819</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/78ba385fc/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L827">runtime.ts:827</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>
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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/78ba385fc/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L847">runtime.ts:847</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 7641c63def..1aeb9145b9 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
 <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/78ba385fc/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
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@@ -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/78ba385fc/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L935">runtime.ts:935</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/78ba385fc/web/src/runtime.ts#L948">runtime.ts:948</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L948">runtime.ts:948</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/78ba385fc/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L956">runtime.ts:956</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>
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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/78ba385fc/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
index 2fcb8a1ce4..30f61201e2 100644
--- a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
+++ b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
@@ -24,7 +24,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">AsyncifyHandler</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -57,7 +57,7 @@
 <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_.AsyncifyHandler.html" class="tsd-signature-type tsd-kind-class">AsyncifyHandler</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L58">asyncify.ts:58</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L58">asyncify.ts:58</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="enabled" class="tsd-anchor"></a>
@@ -70,7 +70,7 @@
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getState" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>State</span><a href="#getState" 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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@@ -81,7 +81,7 @@
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapExport" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Export</span><a href="#wrapExport" 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">
@@ -124,7 +124,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapImport" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Import</span><a href="#wrapImport" 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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@@ -167,7 +167,7 @@
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 </li></ul></li></ul><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L88">asyncify.ts:88</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L88">asyncify.ts:88</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index 7e3b0ed9e9..40979e3ee9 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/78ba385fc/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
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@@ -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/78ba385fc/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/a39067bf7/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
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 <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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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@@ -199,7 +199,7 @@ No further store function should be called.</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/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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@@ -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/78ba385fc/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/a39067bf7/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>
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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/78ba385fc/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/a39067bf7/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.</
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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/78ba385fc/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/a39067bf7/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.</
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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/78ba385fc/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/a39067bf7/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.</
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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/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/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 eb46d1983e..6ef763a099 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/78ba385fc/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L168">webgpu.ts:168</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/78ba385fc/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L177">webgpu.ts:177</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/78ba385fc/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L251">webgpu.ts:251</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/78ba385fc/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L327">webgpu.ts:327</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/78ba385fc/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L277">webgpu.ts:277</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 010f1735f3..a44d7b9885 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
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 <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/78ba385fc/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/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 @@
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 <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/78ba385fc/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/a39067bf7/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/78ba385fc/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/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/78ba385fc/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/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/78ba385fc/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/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/78ba385fc/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/a39067bf7/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/78ba385fc/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/a39067bf7/web/src/environment.ts#L105">environment.ts:105</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_.FFILibrary.html b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
index e858deb9d7..7ff948e260 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
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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/78ba385fc/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L52">runtime.ts:52</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/78ba385fc/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L60">runtime.ts:60</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/78ba385fc/web/src/runtime.ts#L55">runtime.ts:55</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L55">runtime.ts:55</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/78ba385fc/web/src/runtime.ts#L54">runtime.ts:54</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L54">runtime.ts:54</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/78ba385fc/web/src/runtime.ts#L53">runtime.ts:53</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L53">runtime.ts:53</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/78ba385fc/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L56">runtime.ts:56</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/78ba385fc/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/a39067bf7/web/src/runtime.ts#L86">runtime.ts:86</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/78ba385fc/web/src/runtime.ts#L75">runtime.ts:75</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L75">runtime.ts:75</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/78ba385fc/web/src/runtime.ts#L94">runtime.ts:94</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L94">runtime.ts:94</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/78ba385fc/web/src/runtime.ts#L105">runtime.ts:105</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L105">runtime.ts:105</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/78ba385fc/web/src/runtime.ts#L82">runtime.ts:82</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L82">runtime.ts:82</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_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index a56868ebde..2a63efc5dd 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
@@ -24,7 +24,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">Memory</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/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">
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 <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/78ba385fc/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/a39067bf7/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/78ba385fc/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/memory.ts#L32">memory.ts:32</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><span class="tsd-signature-symbol"> = true</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/web/src/memory.ts#L33">memory.ts:33</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="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/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
@@ -114,7 +114,7 @@
 <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/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
@@ -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/78ba385fc/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/a39067bf7/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>
 <h3 class="tsd-anchor-link"><span>load<wbr/>I32</span><a href="#loadI32" 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 @@
 <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/78ba385fc/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/a39067bf7/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>
 <h3 class="tsd-anchor-link"><span>load<wbr/>I64</span><a href="#loadI64" 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">
@@ -153,7 +153,7 @@
 <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/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
@@ -166,7 +166,7 @@
 <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/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
@@ -187,7 +187,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
@@ -204,7 +204,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" 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">
@@ -217,7 +217,7 @@
 <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/78ba385fc/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/a39067bf7/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>
 <ul class="tsd-signatures">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
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 <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>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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>
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@@ -256,7 +256,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/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/a39067bf7/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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index 36ba5e9605..ca3e34c4b2 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L308">runtime.ts:308</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -74,7 +74,7 @@ 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/78ba385fc/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L313">runtime.ts:313</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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L322">runtime.ts:322</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L175">runtime.ts:175</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="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" 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">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">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<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">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
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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">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
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 <h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" 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">array<wbr/>Cache<wbr/>Clear</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/78ba385fc/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</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/78ba385fc/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
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 <h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" 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">array<wbr/>Cache<wbr/>Update</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/78ba385fc/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</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/78ba385fc/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Size</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/78ba385fc/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" 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">getFFIString</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/78ba385fc/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" 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">get<wbr/>Sys<wbr/>Lib</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/78ba385fc/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></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>
 <div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</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/78ba385fc/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">ndarray<wbr/>Create<wbr/>View</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/78ba385fc/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</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/78ba385fc/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" 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">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</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/78ba385fc/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" 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">sample<wbr/>TopPFrom<wbr/>Logits</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/78ba385fc/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" 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">sample<wbr/>TopPFrom<wbr/>Prob</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/78ba385fc/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" 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">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/78ba385fc/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L155">runtime.ts:155</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>
@@ -225,7 +225,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>the same object.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L247">runtime.ts:247</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">
@@ -233,7 +233,7 @@
 <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/78ba385fc/web/src/runtime.ts#L221">runtime.ts:221</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L221">runtime.ts:221</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">
@@ -251,7 +251,7 @@
 <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/78ba385fc/web/src/runtime.ts#L266">runtime.ts:266</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L266">runtime.ts:266</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">
@@ -264,7 +264,7 @@ 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/78ba385fc/web/src/runtime.ts#L198">runtime.ts:198</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L198">runtime.ts:198</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">
@@ -272,7 +272,7 @@ 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/78ba385fc/web/src/runtime.ts#L225">runtime.ts:225</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L225">runtime.ts:225</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">
@@ -290,7 +290,7 @@ 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/78ba385fc/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L256">runtime.ts:256</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 21dfe9723f..cbc8d2b2d7 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
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 <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/78ba385fc/web/src/runtime.ts#L899">runtime.ts:899</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L899">runtime.ts:899</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="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</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/78ba385fc/web/src/runtime.ts#L900">runtime.ts:900</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L900">runtime.ts:900</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/78ba385fc/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L804">runtime.ts:804</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/78ba385fc/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L819">runtime.ts:819</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/78ba385fc/web/src/runtime.ts#L911">runtime.ts:911</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L911">runtime.ts:911</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/78ba385fc/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L827">runtime.ts:827</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>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 6d1b26d323..066107bc15 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
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 <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/78ba385fc/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L345">webgpu.ts:345</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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
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 <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/78ba385fc/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L346">webgpu.ts:346</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/78ba385fc/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L347">webgpu.ts:347</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>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L454">webgpu.ts:454</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>
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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/78ba385fc/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L446">webgpu.ts:446</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/78ba385fc/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L428">webgpu.ts:428</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>
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@@ -160,7 +160,7 @@ via createComputePipeline</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/a39067bf7/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" 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">
@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L478">webgpu.ts:478</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">
@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" 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">
@@ -216,7 +216,7 @@ via createComputePipelineAsync</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/78ba385fc/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" 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">
@@ -232,7 +232,7 @@ via createComputePipelineAsync</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The corresponding device api.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L734">webgpu.ts:734</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">
@@ -242,7 +242,7 @@ via createComputePipelineAsync</p>
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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/78ba385fc/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sync</span><a href="#sync" 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">
@@ -252,7 +252,7 @@ via createComputePipelineAsync</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L393">webgpu.ts:393</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/enums/_internal_.AsyncifyStateKind.html b/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
index 6cf3312782..95041d3f26 100644
--- a/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
+++ b/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L31">asyncify.ts:31</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L31">asyncify.ts:31</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="Rewinding" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Rewinding</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/asyncify.ts#L33">asyncify.ts:33</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L33">asyncify.ts:33</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="Unwinding" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Unwinding</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">1</span></div><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/asyncify.ts#L32">asyncify.ts:32</a></li></ul></aside></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index 8989da74c4..93eba5aa94 100644
--- a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
+++ b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L993">runtime.ts:993</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></section></section></div>
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index ef47a68ed7..ca3007ee51 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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index f30072bfc4..511482e655 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/artifact_cache.ts#L41">artifact_cache.ts:41</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/artifact_cache.ts#L36">artifact_cache.ts:36</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/78ba385fc/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a39067bf7/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section></section></div>
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diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index c7badf573e..ad3e03f58e 100644
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@@ -619,7 +619,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
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-yolov3-tiny inference graph built in 27.81s!
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index c3d168883f..4b0ca1e11c 100644
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-<p><strong>01:00.632</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
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-<p><strong>00:03.183</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.228</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
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-<p><strong>00:00.807</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 90.198 ms
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 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  18.012 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  31.166 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 75ae2d07fb..5ac8126602 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: 13.13/13.13     result: MeasureResult(costs=(0.0204473374,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6248328685760498, timestamp=1711843323.81564) [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 256])],None,82
-No: 2   GFLOPS: 11.74/13.13     result: MeasureResult(costs=(0.0228712028,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6683762073516846, timestamp=1711843324.4509404)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 256])],None,86
-No: 3   GFLOPS: 8.60/13.13      result: MeasureResult(costs=(0.0312259482,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8316295146942139, timestamp=1711843325.2074287)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 64])],None,69
-No: 4   GFLOPS: 2.09/13.13      result: MeasureResult(costs=(0.1285749504,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.32204008102417, timestamp=1711843327.5284424) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 4])],None,27
-No: 5   GFLOPS: 7.46/13.13      result: MeasureResult(costs=(0.036005548,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8390171527862549, timestamp=1711843328.5834336)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 8])],None,30
-No: 6   GFLOPS: 11.69/13.13     result: MeasureResult(costs=(0.0229636626,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6808011531829834, timestamp=1711843329.2171254)       [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 128])],None,72
-No: 7   GFLOPS: 11.78/13.13     result: MeasureResult(costs=(0.022780525399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6668691635131836, timestamp=1711843329.853601)        [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 256])],None,85
-No: 8   GFLOPS: 14.37/14.37     result: MeasureResult(costs=(0.0186769704,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6676244735717773, timestamp=1711843330.4203448)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 128])],None,76
-No: 9   GFLOPS: 0.52/14.37      result: MeasureResult(costs=(0.5142104958,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.452771186828613, timestamp=1711843339.0025077)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 1])],None,8
-No: 10  GFLOPS: 12.03/14.37     result: MeasureResult(costs=(0.022314545,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.602294921875, timestamp=1711843339.6247697)    [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 512])],None,96
+No: 1   GFLOPS: 4.72/4.72       result: MeasureResult(costs=(0.0568760316,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.1848053932189941, timestamp=1711846719.9270415)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 2])],None,13
+No: 2   GFLOPS: 7.76/7.76       result: MeasureResult(costs=(0.034578886399999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8141133785247803, timestamp=1711846720.7325373)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 16])],None,49
+No: 3   GFLOPS: 10.68/10.68     result: MeasureResult(costs=(0.025126202599999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.701343297958374, timestamp=1711846721.3984642)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 128])],None,70
+No: 4   GFLOPS: 2.66/10.68      result: MeasureResult(costs=(0.10108003759999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8542912006378174, timestamp=1711846723.2676454)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 2])],None,10
+No: 5   GFLOPS: 12.70/12.70     result: MeasureResult(costs=(0.0211370518,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6092073917388916, timestamp=1711846724.013489)        [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 512])],None,93
+No: 6   GFLOPS: 11.97/12.70     result: MeasureResult(costs=(0.022421370200000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6564300060272217, timestamp=1711846724.6352513)       [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 256])],None,87
+No: 7   GFLOPS: 0.53/12.70      result: MeasureResult(costs=(0.5095386102,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.41348385810852, timestamp=1711846733.0441477) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 1])],None,7
+No: 8   GFLOPS: 1.82/12.70      result: MeasureResult(costs=(0.14744527359999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.6072092056274414, timestamp=1711846735.6603913)        [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 1])],None,2
+No: 9   GFLOPS: 13.18/13.18     result: MeasureResult(costs=(0.0203599482,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.559013843536377, timestamp=1711846736.328359) [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 256])],None,82
+No: 10  GFLOPS: 1.52/13.18      result: MeasureResult(costs=(0.17611642919999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.0300419330596924, timestamp=1711846739.4054759)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 1])],None,0
 </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 21e7227760..155ec1e81b 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;: 475.49258002003626, &#39;median&#39;: 475.52426089996516, &#39;std&#39;: 1.1890464750872796}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 468.36341127000196, &#39;median&#39;: 467.8212777500448, &#39;std&#39;: 1.6310418364036179}
 </pre></div>
 </div>
 </div>
@@ -767,178 +767,177 @@ 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:   14.31/  21.67 GFLOPS | Progress: (4/20) | 8.59 s
-[Task  1/25]  Current/Best:   15.07/  21.67 GFLOPS | Progress: (8/20) | 12.30 s
-[Task  1/25]  Current/Best:   23.54/  23.54 GFLOPS | Progress: (12/20) | 14.49 s
-[Task  1/25]  Current/Best:   10.12/  23.54 GFLOPS | Progress: (16/20) | 17.48 s
-[Task  1/25]  Current/Best:   10.19/  23.54 GFLOPS | Progress: (20/20) | 20.18 s Done.
+[Task  1/25]  Current/Best:    8.82/  20.06 GFLOPS | Progress: (4/20) | 7.94 s
+[Task  1/25]  Current/Best:   14.08/  20.06 GFLOPS | Progress: (8/20) | 11.37 s
+[Task  1/25]  Current/Best:   15.12/  20.83 GFLOPS | Progress: (12/20) | 14.69 s
+[Task  1/25]  Current/Best:   14.16/  20.83 GFLOPS | Progress: (16/20) | 17.90 s
+[Task  1/25]  Current/Best:   24.67/  24.67 GFLOPS | Progress: (20/20) | 21.53 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   13.23/  19.51 GFLOPS | Progress: (4/20) | 4.26 s
-[Task  2/25]  Current/Best:   19.79/  19.79 GFLOPS | Progress: (8/20) | 5.80 s
-[Task  2/25]  Current/Best:   17.36/  19.79 GFLOPS | Progress: (12/20) | 7.27 s
-[Task  2/25]  Current/Best:   12.91/  19.79 GFLOPS | Progress: (16/20) | 8.82 s
-[Task  2/25]  Current/Best:   13.87/  21.52 GFLOPS | Progress: (20/20) | 10.59 s Done.
+[Task  2/25]  Current/Best:   17.43/  19.15 GFLOPS | Progress: (4/20) | 4.04 s
+[Task  2/25]  Current/Best:    7.52/  19.15 GFLOPS | Progress: (8/20) | 5.62 s
+[Task  2/25]  Current/Best:   12.52/  19.15 GFLOPS | Progress: (12/20) | 7.34 s
+[Task  2/25]  Current/Best:   17.30/  19.15 GFLOPS | Progress: (16/20) | 8.87 s
+[Task  2/25]  Current/Best:   11.91/  19.15 GFLOPS | Progress: (20/20) | 10.65 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   21.88/  21.88 GFLOPS | Progress: (4/20) | 6.23 s
-[Task  3/25]  Current/Best:   14.48/  21.88 GFLOPS | Progress: (8/20) | 8.77 s
-[Task  3/25]  Current/Best:   13.54/  21.88 GFLOPS | Progress: (12/20) | 11.38 s
-[Task  3/25]  Current/Best:    7.22/  21.88 GFLOPS | Progress: (16/20) | 16.11 s
-[Task  3/25]  Current/Best:   23.44/  23.44 GFLOPS | Progress: (20/20) | 18.23 s Done.
+[Task  3/25]  Current/Best:   17.13/  19.66 GFLOPS | Progress: (4/20) | 6.46 s
+[Task  3/25]  Current/Best:    6.35/  24.92 GFLOPS | Progress: (8/20) | 9.15 s
+[Task  3/25]  Current/Best:   24.99/  24.99 GFLOPS | Progress: (12/20) | 11.63 s
+[Task  3/25]  Current/Best:   12.15/  24.99 GFLOPS | Progress: (16/20) | 13.86 s
+[Task  3/25]  Current/Best:    3.28/  24.99 GFLOPS | Progress: (20/20) | 16.82 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:   21.20/  21.20 GFLOPS | Progress: (4/20) | 4.27 s
-[Task  4/25]  Current/Best:   17.82/  21.20 GFLOPS | Progress: (8/20) | 5.96 s
-[Task  4/25]  Current/Best:   11.04/  21.20 GFLOPS | Progress: (12/20) | 9.11 s
-[Task  4/25]  Current/Best:    5.22/  21.20 GFLOPS | Progress: (16/20) | 11.66 s
-[Task  4/25]  Current/Best:    8.43/  21.20 GFLOPS | Progress: (20/20) | 13.67 s Done.
+[Task  4/25]  Current/Best:   22.06/  22.06 GFLOPS | Progress: (4/20) | 5.39 s
+[Task  4/25]  Current/Best:    5.73/  22.06 GFLOPS | Progress: (8/20) | 7.52 s
+[Task  4/25]  Current/Best:   18.01/  22.06 GFLOPS | Progress: (12/20) | 9.35 s
+[Task  4/25]  Current/Best:   13.25/  22.06 GFLOPS | Progress: (16/20) | 12.07 s
+[Task  4/25]  Current/Best:   14.08/  22.06 GFLOPS | Progress: (20/20) | 14.49 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:   18.53/  18.53 GFLOPS | Progress: (4/20) | 4.75 s
-[Task  5/25]  Current/Best:   11.37/  19.76 GFLOPS | Progress: (8/20) | 6.50 s
-[Task  5/25]  Current/Best:   16.01/  22.00 GFLOPS | Progress: (12/20) | 8.47 s
-[Task  5/25]  Current/Best:   14.31/  22.00 GFLOPS | Progress: (16/20) | 10.35 s
-[Task  5/25]  Current/Best:   15.16/  22.00 GFLOPS | Progress: (20/20) | 13.22 s Done.
+[Task  5/25]  Current/Best:   11.05/  18.51 GFLOPS | Progress: (4/20) | 4.32 s
+[Task  5/25]  Current/Best:   13.66/  18.51 GFLOPS | Progress: (8/20) | 7.27 s
+[Task  5/25]  Current/Best:   14.30/  18.51 GFLOPS | Progress: (12/20) | 9.42 s
+[Task  5/25]  Current/Best:    5.82/  18.51 GFLOPS | Progress: (16/20) | 11.69 s
+[Task  5/25]  Current/Best:    5.18/  20.56 GFLOPS | Progress: (20/20) | 13.95 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:   21.02/  22.18 GFLOPS | Progress: (4/20) | 4.54 s
-[Task  6/25]  Current/Best:   15.91/  22.18 GFLOPS | Progress: (8/20) | 6.56 s
-[Task  6/25]  Current/Best:   11.51/  22.18 GFLOPS | Progress: (12/20) | 9.36 s
-[Task  6/25]  Current/Best:    7.00/  22.18 GFLOPS | Progress: (16/20) | 11.60 s
-[Task  6/25]  Current/Best:   15.44/  22.18 GFLOPS | Progress: (20/20) | 14.84 s Done.
+[Task  6/25]  Current/Best:    5.60/  19.77 GFLOPS | Progress: (4/20) | 5.00 s
+[Task  6/25]  Current/Best:    2.98/  19.77 GFLOPS | Progress: (8/20) | 8.05 s
+[Task  6/25]  Current/Best:   14.60/  19.77 GFLOPS | Progress: (12/20) | 11.46 s
+[Task  6/25]  Current/Best:    3.54/  19.77 GFLOPS | Progress: (16/20) | 14.14 s
+[Task  6/25]  Current/Best:    4.03/  19.77 GFLOPS | Progress: (20/20) | 16.71 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:    6.90/  21.13 GFLOPS | Progress: (4/20) | 5.59 s
-[Task  7/25]  Current/Best:    5.10/  21.13 GFLOPS | Progress: (8/20) | 8.50 s
-[Task  7/25]  Current/Best:   17.52/  21.13 GFLOPS | Progress: (12/20) | 11.00 s
-[Task  7/25]  Current/Best:   12.88/  21.13 GFLOPS | Progress: (16/20) | 15.38 s
-[Task  7/25]  Current/Best:   15.86/  21.13 GFLOPS | Progress: (20/20) | 18.30 s Done.
+[Task  7/25]  Current/Best:    7.99/  21.41 GFLOPS | Progress: (4/20) | 5.33 s
+[Task  7/25]  Current/Best:    9.74/  21.41 GFLOPS | Progress: (8/20) | 9.18 s
+[Task  7/25]  Current/Best:   11.64/  21.41 GFLOPS | Progress: (12/20) | 11.51 s
+[Task  7/25]  Current/Best:   12.82/  21.41 GFLOPS | Progress: (16/20) | 14.14 s
+[Task  7/25]  Current/Best:   19.90/  21.41 GFLOPS | Progress: (20/20) | 16.86 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:    6.47/  15.92 GFLOPS | Progress: (4/20) | 9.29 s
-[Task  8/25]  Current/Best:   14.15/  18.78 GFLOPS | Progress: (8/20) | 13.44 s
-[Task  8/25]  Current/Best:    4.77/  18.78 GFLOPS | Progress: (12/20) | 20.02 s
-[Task  8/25]  Current/Best:   14.46/  18.78 GFLOPS | Progress: (16/20) | 25.86 s
-[Task  8/25]  Current/Best:   13.67/  18.78 GFLOPS | Progress: (20/20) | 28.66 s Done.
+[Task  8/25]  Current/Best:    8.88/  14.35 GFLOPS | Progress: (4/20) | 9.00 s
+[Task  8/25]  Current/Best:   11.55/  14.35 GFLOPS | Progress: (8/20) | 12.95 s
+[Task  8/25]  Current/Best:   12.25/  14.35 GFLOPS | Progress: (12/20) | 24.16 s
+[Task  8/25]  Current/Best:   10.45/  14.75 GFLOPS | Progress: (16/20) | 26.80 s
+[Task  8/25]  Current/Best:   21.19/  21.19 GFLOPS | Progress: (20/20) | 29.62 s Done.
 
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:    3.28/  13.68 GFLOPS | Progress: (4/20) | 4.90 s
-[Task  9/25]  Current/Best:   17.79/  18.30 GFLOPS | Progress: (8/20) | 15.94 s
-[Task  9/25]  Current/Best:   12.93/  21.03 GFLOPS | Progress: (12/20) | 18.74 s
-[Task  9/25]  Current/Best:   18.72/  21.03 GFLOPS | Progress: (16/20) | 20.93 s
-[Task  9/25]  Current/Best:   12.55/  21.03 GFLOPS | Progress: (20/20) | 22.65 s
+[Task  9/25]  Current/Best:   11.73/  19.11 GFLOPS | Progress: (4/20) | 5.45 s
+[Task  9/25]  Current/Best:   13.59/  19.11 GFLOPS | Progress: (8/20) | 8.22 s
+[Task  9/25]  Current/Best:   17.09/  19.11 GFLOPS | Progress: (12/20) | 13.66 s
+[Task  9/25]  Current/Best:   20.00/  20.00 GFLOPS | Progress: (16/20) | 21.38 s
+[Task  9/25]  Current/Best:   18.65/  20.00 GFLOPS | Progress: (20/20) | 23.34 s Done.
+
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   20.12/  20.12 GFLOPS | Progress: (4/20) | 4.72 s
-[Task 10/25]  Current/Best:   14.31/  23.51 GFLOPS | Progress: (8/20) | 7.23 s
-[Task 10/25]  Current/Best:   15.62/  23.51 GFLOPS | Progress: (12/20) | 8.95 s
-[Task 10/25]  Current/Best:   10.27/  23.51 GFLOPS | Progress: (16/20) | 10.82 s
-[Task 10/25]  Current/Best:   15.44/  23.51 GFLOPS | Progress: (20/20) | 14.25 s Done.
+[Task 10/25]  Current/Best:    8.66/  19.36 GFLOPS | Progress: (4/20) | 5.72 s
+[Task 10/25]  Current/Best:    3.55/  19.36 GFLOPS | Progress: (8/20) | 7.71 s
+[Task 10/25]  Current/Best:   12.29/  19.60 GFLOPS | Progress: (12/20) | 9.63 s
+[Task 10/25]  Current/Best:   13.33/  19.64 GFLOPS | Progress: (16/20) | 12.16 s
+[Task 10/25]  Current/Best:    4.98/  19.64 GFLOPS | Progress: (20/20) | 14.28 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:   22.76/  22.76 GFLOPS | Progress: (4/20) | 4.65 s
-[Task 11/25]  Current/Best:   23.00/  23.96 GFLOPS | Progress: (8/20) | 6.65 s
-[Task 11/25]  Current/Best:   22.58/  23.96 GFLOPS | Progress: (12/20) | 10.01 s
-[Task 11/25]  Current/Best:   12.37/  23.96 GFLOPS | Progress: (16/20) | 12.69 s
-[Task 11/25]  Current/Best:   12.06/  23.96 GFLOPS | Progress: (20/20) | 15.49 s Done.
+[Task 11/25]  Current/Best:   19.87/  19.87 GFLOPS | Progress: (4/20) | 4.48 s
+[Task 11/25]  Current/Best:   18.64/  19.87 GFLOPS | Progress: (8/20) | 7.04 s
+[Task 11/25]  Current/Best:   20.40/  20.40 GFLOPS | Progress: (12/20) | 9.72 s
+[Task 11/25]  Current/Best:    6.38/  20.40 GFLOPS | Progress: (16/20) | 12.79 s
+[Task 11/25]  Current/Best:   18.71/  22.64 GFLOPS | Progress: (20/20) | 14.67 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   19.35/  19.35 GFLOPS | Progress: (4/20) | 6.17 s
-[Task 12/25]  Current/Best:   15.86/  19.35 GFLOPS | Progress: (8/20) | 8.30 s
-[Task 12/25]  Current/Best:    5.80/  19.35 GFLOPS | Progress: (12/20) | 10.97 s
-[Task 12/25]  Current/Best:   13.31/  19.35 GFLOPS | Progress: (16/20) | 13.95 s
-[Task 12/25]  Current/Best:   14.91/  19.35 GFLOPS | Progress: (20/20) | 16.36 s Done.
+[Task 12/25]  Current/Best:   13.90/  21.97 GFLOPS | Progress: (4/20) | 4.32 s
+[Task 12/25]  Current/Best:    3.10/  21.97 GFLOPS | Progress: (8/20) | 7.56 s
+[Task 12/25]  Current/Best:    5.42/  21.97 GFLOPS | Progress: (12/20) | 11.43 s
+[Task 12/25]  Current/Best:   16.34/  21.97 GFLOPS | Progress: (16/20) | 14.17 s
+[Task 12/25]  Current/Best:   17.08/  22.92 GFLOPS | Progress: (20/20) | 17.58 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   14.21/  20.60 GFLOPS | Progress: (4/20) | 5.04 s
-[Task 13/25]  Current/Best:   18.19/  20.60 GFLOPS | Progress: (8/20) | 7.55 s
-[Task 13/25]  Current/Best:   18.59/  20.60 GFLOPS | Progress: (12/20) | 10.48 s
-[Task 13/25]  Current/Best:   20.64/  22.83 GFLOPS | Progress: (16/20) | 13.56 s
-[Task 13/25]  Current/Best:   21.73/  22.83 GFLOPS | Progress: (20/20) | 17.39 s Done.
+[Task 13/25]  Current/Best:   14.14/  19.38 GFLOPS | Progress: (4/20) | 5.79 s
+[Task 13/25]  Current/Best:    6.37/  19.38 GFLOPS | Progress: (8/20) | 8.35 s
+[Task 13/25]  Current/Best:   20.09/  20.09 GFLOPS | Progress: (12/20) | 11.90 s
+[Task 13/25]  Current/Best:   20.62/  20.98 GFLOPS | Progress: (16/20) | 14.89 s
+[Task 13/25]  Current/Best:    6.20/  20.98 GFLOPS | Progress: (20/20) | 18.76 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:    8.32/  19.89 GFLOPS | Progress: (4/20) | 7.19 s
-[Task 14/25]  Current/Best:   14.35/  21.73 GFLOPS | Progress: (8/20) | 9.92 s
-[Task 14/25]  Current/Best:   11.20/  21.73 GFLOPS | Progress: (12/20) | 18.95 s
-[Task 14/25]  Current/Best:   14.94/  21.73 GFLOPS | Progress: (16/20) | 22.94 s
-[Task 14/25]  Current/Best:   13.42/  21.73 GFLOPS | Progress: (20/20) | 25.75 s Done.
+[Task 14/25]  Current/Best:   16.33/  19.75 GFLOPS | Progress: (4/20) | 6.24 s
+[Task 14/25]  Current/Best:    3.19/  19.75 GFLOPS | Progress: (8/20) | 10.34 s
+[Task 14/25]  Current/Best:   11.97/  19.75 GFLOPS | Progress: (12/20) | 13.12 s
+[Task 14/25]  Current/Best:    9.71/  19.75 GFLOPS | Progress: (16/20) | 15.25 s
+[Task 14/25]  Current/Best:   13.92/  19.75 GFLOPS | Progress: (20/20) | 17.59 s Done.
 
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:   16.71/  16.71 GFLOPS | Progress: (4/20) | 7.33 s
-[Task 15/25]  Current/Best:   15.35/  16.71 GFLOPS | Progress: (8/20) | 9.61 s
-[Task 15/25]  Current/Best:   16.40/  16.71 GFLOPS | Progress: (12/20) | 12.56 s
-[Task 15/25]  Current/Best:   17.73/  21.91 GFLOPS | Progress: (16/20) | 23.55 s
-[Task 15/25]  Current/Best:   22.33/  22.33 GFLOPS | Progress: (20/20) | 26.25 s
+[Task 15/25]  Current/Best:   22.77/  22.77 GFLOPS | Progress: (4/20) | 5.11 s
+[Task 15/25]  Current/Best:    4.87/  22.77 GFLOPS | Progress: (8/20) | 6.90 s
+[Task 15/25]  Current/Best:    5.03/  22.77 GFLOPS | Progress: (12/20) | 9.12 s
+[Task 15/25]  Current/Best:   12.70/  22.81 GFLOPS | Progress: (16/20) | 11.17 s
+[Task 15/25]  Current/Best:   15.63/  22.81 GFLOPS | Progress: (20/20) | 14.39 s Done.
+
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   11.02/  17.06 GFLOPS | Progress: (4/20) | 5.38 s
-[Task 16/25]  Current/Best:    6.65/  17.06 GFLOPS | Progress: (8/20) | 7.13 s
-[Task 16/25]  Current/Best:   17.78/  17.78 GFLOPS | Progress: (12/20) | 10.66 s
-[Task 16/25]  Current/Best:   19.16/  19.16 GFLOPS | Progress: (16/20) | 12.47 s
-[Task 16/25]  Current/Best:   18.59/  19.16 GFLOPS | Progress: (20/20) | 14.61 s Done.
+[Task 16/25]  Current/Best:    3.07/  20.25 GFLOPS | Progress: (4/20) | 4.36 s
+[Task 16/25]  Current/Best:    3.20/  20.25 GFLOPS | Progress: (8/20) | 7.55 s
+[Task 16/25]  Current/Best:    9.71/  20.25 GFLOPS | Progress: (12/20) | 10.56 s
+[Task 16/25]  Current/Best:   16.57/  20.25 GFLOPS | Progress: (16/20) | 13.32 s
+[Task 16/25]  Current/Best:   15.74/  20.25 GFLOPS | Progress: (20/20) | 15.02 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:    9.27/  23.90 GFLOPS | Progress: (4/20) | 6.59 s
-[Task 17/25]  Current/Best:   11.12/  23.90 GFLOPS | Progress: (8/20) | 10.85 s Done.
- Done.
-
-[Task 17/25]  Current/Best:    6.34/  23.90 GFLOPS | Progress: (12/20) | 13.69 s
-[Task 17/25]  Current/Best:   24.02/  24.02 GFLOPS | Progress: (16/20) | 17.09 s
-[Task 17/25]  Current/Best:    5.50/  24.02 GFLOPS | Progress: (20/20) | 19.49 s Done.
+[Task 17/25]  Current/Best:    9.29/  10.49 GFLOPS | Progress: (4/20) | 6.08 s
+[Task 17/25]  Current/Best:    6.42/  16.17 GFLOPS | Progress: (8/20) | 9.59 s
+[Task 17/25]  Current/Best:   21.42/  22.24 GFLOPS | Progress: (12/20) | 11.71 s
+[Task 17/25]  Current/Best:   12.17/  22.24 GFLOPS | Progress: (16/20) | 14.45 s
+[Task 17/25]  Current/Best:   12.69/  22.24 GFLOPS | Progress: (20/20) | 16.66 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:   11.62/  19.76 GFLOPS | Progress: (4/20) | 7.87 s
-[Task 18/25]  Current/Best:    9.11/  20.15 GFLOPS | Progress: (8/20) | 10.73 s
-[Task 18/25]  Current/Best:    9.46/  20.15 GFLOPS | Progress: (12/20) | 16.23 s
-[Task 18/25]  Current/Best:    6.20/  20.15 GFLOPS | Progress: (16/20) | 21.02 s
-[Task 18/25]  Current/Best:   17.69/  20.15 GFLOPS | Progress: (20/20) | 22.97 s Done.
+[Task 18/25]  Current/Best:   12.85/  16.88 GFLOPS | Progress: (4/20) | 5.50 s
+[Task 18/25]  Current/Best:   12.48/  16.88 GFLOPS | Progress: (8/20) | 7.97 s
+[Task 18/25]  Current/Best:   10.85/  16.88 GFLOPS | Progress: (12/20) | 11.29 s
+[Task 18/25]  Current/Best:   16.60/  19.66 GFLOPS | Progress: (16/20) | 13.36 s
+[Task 18/25]  Current/Best:    9.55/  19.66 GFLOPS | Progress: (20/20) | 17.01 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:   21.95/  21.95 GFLOPS | Progress: (4/20) | 6.38 s
-[Task 19/25]  Current/Best:    9.23/  21.95 GFLOPS | Progress: (8/20) | 10.96 s
-[Task 19/25]  Current/Best:   12.09/  21.95 GFLOPS | Progress: (12/20) | 15.82 s
-[Task 19/25]  Current/Best:   14.83/  21.95 GFLOPS | Progress: (16/20) | 19.68 s
-[Task 19/25]  Current/Best:   20.50/  21.95 GFLOPS | Progress: (20/20) | 22.29 s Done.
+[Task 19/25]  Current/Best:    7.46/  22.24 GFLOPS | Progress: (4/20) | 5.38 s
+[Task 19/25]  Current/Best:    9.13/  22.24 GFLOPS | Progress: (8/20) | 8.30 s
+[Task 19/25]  Current/Best:   22.34/  22.34 GFLOPS | Progress: (12/20) | 10.89 s
+[Task 19/25]  Current/Best:   18.68/  22.34 GFLOPS | Progress: (16/20) | 14.98 s
+[Task 19/25]  Current/Best:   22.24/  22.34 GFLOPS | Progress: (20/20) | 18.06 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:    3.71/  23.19 GFLOPS | Progress: (4/20) | 6.55 s
-[Task 20/25]  Current/Best:    7.53/  23.19 GFLOPS | Progress: (8/20) | 13.21 s
-[Task 20/25]  Current/Best:    7.37/  23.19 GFLOPS | Progress: (12/20) | 17.05 s
-[Task 20/25]  Current/Best:   18.43/  23.19 GFLOPS | Progress: (16/20) | 28.81 s
-[Task 20/25]  Current/Best:   16.39/  23.19 GFLOPS | Progress: (20/20) | 31.98 s
+[Task 20/25]  Current/Best:   11.04/  19.44 GFLOPS | Progress: (4/20) | 5.12 s
+[Task 20/25]  Current/Best:   18.49/  19.44 GFLOPS | Progress: (8/20) | 7.12 s
+[Task 20/25]  Current/Best:   13.24/  19.44 GFLOPS | Progress: (12/20) | 9.53 s
+[Task 20/25]  Current/Best:   11.16/  19.44 GFLOPS | Progress: (16/20) | 21.71 s
+[Task 20/25]  Current/Best:    8.63/  21.51 GFLOPS | Progress: (20/20) | 28.94 s
 [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25]  Current/Best:    6.97/  20.30 GFLOPS | Progress: (4/20) | 8.60 s
-[Task 21/25]  Current/Best:    9.92/  20.30 GFLOPS | Progress: (8/20) | 12.23 s
-[Task 21/25]  Current/Best:    2.80/  20.30 GFLOPS | Progress: (12/20) | 14.51 s
-[Task 21/25]  Current/Best:   19.05/  20.30 GFLOPS | Progress: (16/20) | 19.85 s
-[Task 21/25]  Current/Best:   15.41/  20.30 GFLOPS | Progress: (20/20) | 22.02 s Done.
-
-[Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:   14.03/  21.12 GFLOPS | Progress: (4/20) | 4.64 s
-[Task 22/25]  Current/Best:   21.61/  21.61 GFLOPS | Progress: (8/20) | 6.24 s
-[Task 22/25]  Current/Best:    1.61/  21.61 GFLOPS | Progress: (12/20) | 9.01 s
-[Task 22/25]  Current/Best:   16.24/  21.61 GFLOPS | Progress: (16/20) | 11.12 s
-[Task 22/25]  Current/Best:    7.07/  21.61 GFLOPS | Progress: (20/20) | 16.10 s Done.
+[Task 21/25]  Current/Best:   17.32/  18.48 GFLOPS | Progress: (4/20) | 5.04 s
+[Task 21/25]  Current/Best:    7.81/  18.83 GFLOPS | Progress: (8/20) | 9.50 s
+[Task 21/25]  Current/Best:   10.02/  18.83 GFLOPS | Progress: (12/20) | 20.77 s
+[Task 21/25]  Current/Best:   18.70/  18.83 GFLOPS | Progress: (16/20) | 29.56 s
+[Task 21/25]  Current/Best:   13.12/  18.83 GFLOPS | Progress: (20/20) | 31.49 s
+[Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
 
+[Task 22/25]  Current/Best:    3.82/  14.85 GFLOPS | Progress: (4/20) | 5.01 s
+[Task 22/25]  Current/Best:   19.31/  19.31 GFLOPS | Progress: (8/20) | 7.34 s
+[Task 22/25]  Current/Best:   11.24/  19.31 GFLOPS | Progress: (12/20) | 9.59 s
+[Task 22/25]  Current/Best:   19.38/  19.38 GFLOPS | Progress: (16/20) | 12.84 s
+[Task 22/25]  Current/Best:   19.80/  19.80 GFLOPS | Progress: (20/20) | 23.91 s
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   19.57/  20.82 GFLOPS | Progress: (4/20) | 4.98 s
-[Task 23/25]  Current/Best:   19.05/  20.82 GFLOPS | Progress: (8/20) | 8.63 s
-[Task 23/25]  Current/Best:    8.36/  20.82 GFLOPS | Progress: (12/20) | 13.44 s
-[Task 23/25]  Current/Best:    5.53/  20.82 GFLOPS | Progress: (16/20) | 17.48 s
-[Task 23/25]  Current/Best:   13.76/  23.54 GFLOPS | Progress: (20/20) | 20.03 s Done.
+[Task 23/25]  Current/Best:   14.17/  20.46 GFLOPS | Progress: (4/20) | 5.82 s
+[Task 23/25]  Current/Best:   24.32/  24.32 GFLOPS | Progress: (8/20) | 11.57 s
+[Task 23/25]  Current/Best:   10.93/  24.32 GFLOPS | Progress: (12/20) | 15.99 s
+[Task 23/25]  Current/Best:   19.05/  24.32 GFLOPS | Progress: (16/20) | 18.40 s
+[Task 23/25]  Current/Best:   11.95/  24.32 GFLOPS | Progress: (20/20) | 22.79 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    3.67/   8.26 GFLOPS | Progress: (4/20) | 13.64 s
-[Task 24/25]  Current/Best:    1.17/   8.26 GFLOPS | Progress: (8/20) | 26.14 s
-[Task 24/25]  Current/Best:    7.49/   8.26 GFLOPS | Progress: (12/20) | 37.15 s
-[Task 24/25]  Current/Best:    3.36/   8.26 GFLOPS | Progress: (16/20) | 48.25 s Done.
-
-[Task 24/25]  Current/Best:    4.03/   8.26 GFLOPS | Progress: (20/20) | 59.32 s
+[Task 24/25]  Current/Best:    3.91/   7.02 GFLOPS | Progress: (4/20) | 13.59 s
+[Task 24/25]  Current/Best:    2.51/   7.02 GFLOPS | Progress: (8/20) | 26.32 s
+[Task 24/25]  Current/Best:    6.02/   7.02 GFLOPS | Progress: (12/20) | 37.31 s
+[Task 24/25]  Current/Best:    6.09/   7.02 GFLOPS | Progress: (16/20) | 39.78 s
+[Task 24/25]  Current/Best:    6.96/   7.02 GFLOPS | Progress: (20/20) | 50.50 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    6.30/   8.82 GFLOPS | Progress: (4/20) | 5.46 s
-[Task 25/25]  Current/Best:    9.74/   9.74 GFLOPS | Progress: (8/20) | 16.44 s
-[Task 25/25]  Current/Best:    5.80/   9.74 GFLOPS | Progress: (12/20) | 28.63 s
-[Task 25/25]  Current/Best:    9.15/   9.74 GFLOPS | Progress: (16/20) | 31.58 s
-[Task 25/25]  Current/Best:    4.24/   9.74 GFLOPS | Progress: (20/20) | 42.27 s
+[Task 25/25]  Current/Best:    5.70/   5.70 GFLOPS | Progress: (4/20) | 7.73 s
+[Task 25/25]  Current/Best:    1.56/   8.76 GFLOPS | Progress: (8/20) | 9.39 s
+[Task 25/25]  Current/Best:    8.08/   8.76 GFLOPS | Progress: (12/20) | 15.79 s
+[Task 25/25]  Current/Best:    3.12/   8.76 GFLOPS | Progress: (16/20) | 17.26 s
+[Task 25/25]  Current/Best:    6.04/   8.76 GFLOPS | Progress: (20/20) | 28.22 s
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -987,6 +986,7 @@ model using optimized operators to speed up our computations.</p>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Done.
 Done.
+Done.
 </pre></div>
 </div>
 <p>Verify that the optimized model runs and produces the same results:</p>
@@ -1003,8 +1003,8 @@ Done.
     <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;class=&#39;</span><span class="si">%s</span><span class="s2">&#39; with probability=</span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621103
-class=&#39;n02123159 tiger cat&#39; with probability=0.356379
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621105
+class=&#39;n02123159 tiger cat&#39; with probability=0.356378
 class=&#39;n02124075 Egyptian cat&#39; with probability=0.019712
 class=&#39;n02129604 tiger, Panthera tigris&#39; with probability=0.001215
 class=&#39;n04040759 radiator&#39; with probability=0.000262
@@ -1041,8 +1041,8 @@ 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;: 378.9396312799727, &#39;median&#39;: 377.57532649993664, &#39;std&#39;: 2.9796437501239397}
-unoptimized: {&#39;mean&#39;: 475.49258002003626, &#39;median&#39;: 475.52426089996516, &#39;std&#39;: 1.1890464750872796}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 389.6782844599693, &#39;median&#39;: 389.64063909998004, &#39;std&#39;: 1.1335924221066218}
+unoptimized: {&#39;mean&#39;: 468.36341127000196, &#39;median&#39;: 467.8212777500448, &#39;std&#39;: 1.6310418364036179}
 </pre></div>
 </div>
 </div>
@@ -1056,7 +1056,7 @@ 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  21.521 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes  38.794 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 a60baa08a7..90cd3a6bbd 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>1.321e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.204e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index f45f2b1c04..97c79611c5 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, 0x238cfc30)), stage(b, placeholder(b, 0x23eb4090)), 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, 0x134e8d70)), stage(b, placeholder(b, 0x124f87a0)), 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 acd7431709..a78fdbf630 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>16:47.727</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:19.683</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>13:21.521</p></td>
+<td><p>12:38.794</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>01:18.012</p></td>
+<td><p>01:31.166</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>01:00.062</p></td>
+<td><p>00:58.830</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>00:43.352</p></td>
+<td><p>00:42.289</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>00:22.716</p></td>
+<td><p>00:26.583</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><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>00:00.956</p></td>
+<td><p>00:00.974</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><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>00:00.902</p></td>
+<td><p>00:00.869</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>00:00.205</p></td>
+<td><p>00:00.178</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 30aabad88b..3edd024e46 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -570,7 +570,7 @@ helper function to run a profile of the TVM generated code.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000006
-naive: 0.000006
+naive: 0.000007
 </pre></div>
 </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    5.9229100043012294e-06                   1.0
-   naive              5.7601e-06      0.9725118220295436
-parallel              6.0327e-06      1.0185364956784826
-  vector             3.81147e-05       6.435130699659632
+   numpy    6.037990006007021e-06                    1.0
+   naive    7.2398000000000005e-06    1.1990414016580573
+parallel    6.082900000000001e-06      1.007437904658388
+  vector             3.92014e-05       6.492458576612361
 </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: 0.016413
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.015313
 </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: 3.429024
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.402779
 </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: 0.300595
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.283734
 </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: 0.290542
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.261641
 # 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: 0.115112
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.109170
 # 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: 0.103810
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.102434
 # 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: 0.098264
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.097154
 # 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: 0.116092
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.115201
 # 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      3.4290236333000004                     1.0
-        blocking            0.3005950691      0.0876619998126742
-   vectorization            0.2905422141     0.08473030377466076
-loop permutation            0.1151115869    0.033569785224612084
-   array packing            0.1038104401    0.030274052092226503
-   block caching            0.0982635256    0.028656415384758903
- parallelization            0.1160921442     0.03385574338788561
+            none             3.402779083                     1.0
+        blocking            0.2837340743      0.0833830429126333
+   vectorization             0.261640903     0.07689035832714973
+loop permutation     0.10916956789999999    0.032082472954357226
+   array packing             0.102434403    0.030103159947042615
+   block caching            0.0971541492    0.028551412486744737
+ parallelization     0.11520056110000002    0.033854845786355156
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a
@@ -1507,7 +1507,6 @@ is</p>
 you can build generic templates of the matrix multiplication and other
 operations with tunable parameters that allows you to automatically optimize
 the computation for specific platforms.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  0.062 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-tensor-expr-get-started-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/40a01cffb015a67aaec0fad7e27cf80d/tensor_expr_get_started.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">tensor_expr_get_started.py</span></code></a></p>