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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/02/23 19:42:28 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@a6ab8cb8576df762a009c456c54059547bc643e8)

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 6d6e643295 deploying docs (apache/tvm@a6ab8cb8576df762a009c456c54059547bc643e8)
6d6e643295 is described below

commit 6d6e643295536f0f870468c58f595a819d6b3a87
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Fri Feb 23 19:42:21 2024 +0000

    deploying docs (apache/tvm@a6ab8cb8576df762a009c456c54059547bc643e8)
---
 .../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       |  20 +-
 .../how_to/extend_tvm/sg_execution_times.rst.txt   |   6 +-
 .../how_to/extend_tvm/use_pass_instrument.rst.txt  |  16 +-
 .../optimize_operators/opt_conv_cuda.rst.txt       |   2 +-
 .../optimize_operators/opt_conv_tensorcore.rst.txt |   2 +-
 .../how_to/optimize_operators/opt_gemm.rst.txt     |  16 +-
 .../optimize_operators/sg_execution_times.rst.txt  |   8 +-
 .../sg_execution_times.rst.txt                     |  14 +-
 .../tune_conv2d_layer_cuda.rst.txt                 |   2 +-
 .../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 |  16 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   7 +-
 .../tutorials/frontend/sg_execution_times.rst.txt  |   4 +-
 .../tutorials/optimize/sg_execution_times.rst.txt  |   4 +-
 .../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   |  60 ++---
 .../tutorial/cross_compilation_and_rpc.rst.txt     |   2 +-
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  22 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  46 ++--
 docs/commit_hash                                   |   2 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  18 +-
 docs/how_to/compile_models/from_paddle.html        |   1 -
 docs/how_to/compile_models/from_pytorch.html       |  14 +-
 docs/how_to/compile_models/from_tensorflow.html    |   2 +-
 docs/how_to/compile_models/sg_execution_times.html |  24 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  16 +-
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  59 +++--
 docs/how_to/deploy_models/deploy_prequantized.html |   8 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  20 +-
 docs/how_to/extend_tvm/sg_execution_times.html     |   6 +-
 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_conv2d_layer_cuda.html                    |   2 +-
 .../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     |  18 +-
 .../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    |  16 +-
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |  10 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 104 ++++----
 docs/reference/api/typedoc/classes/Module.html     |  12 +-
 docs/reference/api/typedoc/classes/NDArray.html    |  30 +--
 docs/reference/api/typedoc/classes/RPCServer.html  |  16 +-
 docs/reference/api/typedoc/classes/Scalar.html     |   8 +-
 docs/reference/api/typedoc/classes/TVMArray.html   |  16 +-
 docs/reference/api/typedoc/classes/TVMObject.html  |  12 +-
 .../api/typedoc/classes/VirtualMachine.html        |  10 +-
 .../classes/_internal_.CachedCallStack.html        |  36 +--
 .../classes/_internal_.CanvasRenderManager.html    |  10 +-
 .../typedoc/classes/_internal_.Environment.html    |  14 +-
 .../api/typedoc/classes/_internal_.FFILibrary.html |  22 +-
 .../api/typedoc/classes/_internal_.Memory.html     |  36 +--
 .../typedoc/classes/_internal_.PackedFuncCell.html |   8 +-
 .../typedoc/classes/_internal_.RuntimeContext.html |  54 ++--
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +--
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/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          |   8 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.html   |   2 +-
 .../types/_internal_.FObjectConstructor.html       |   2 +-
 .../types/_internal_.FTVMWasmAllocSpace.html       |   2 +-
 .../types/_internal_.FTVMWasmFreeSpace.html        |   2 +-
 .../types/_internal_.FTVMWasmPackedCFunc.html      |   2 +-
 .../api/typedoc/types/_internal_.Pointer.html      |   2 +-
 .../typedoc/types/_internal_.TVMObjectBase.html    |   2 +-
 docs/searchindex.js                                |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   3 +-
 .../vta/tutorials/frontend/sg_execution_times.html |   4 +-
 .../vta/tutorials/optimize/sg_execution_times.html |   4 +-
 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               | 278 ++++++++++-----------
 docs/tutorial/cross_compilation_and_rpc.html       |   2 +-
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  22 +-
 docs/tutorial/tensor_expr_get_started.html         |  46 ++--
 133 files changed, 862 insertions(+), 863 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 cb7848f61d..d6bd6f6754 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  36.632 seconds)
+   **Total running time of the script:** ( 1 minutes  34.245 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 109f23376b..3a2b3679f2 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ Load a pretrained OneFlow model and save model
  .. code-block:: none
 
     Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:01, 28.3MB/s]      22%|##1       | 9.03M/41.5M [00:00<00:01, 25.1MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:01, 27.9MB/s]      41%|####      | 16.9M/41.5M [00:00<00:01, 25.1MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 23.8MB/s]      59%|#####9    | 24.6M/41.5M [00:01<00:00, 20.9MB/s]      77%|#######7  | 32.0M/41.5M [00:01<00:00, 29.0MB/s]      92%|#########2| 38.3M/41.5M [00:01<00:00, 31.9MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 29.2MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]       6%|6         | 2.66M/41.5M [00:00<00:02, 15.8MB/s]      15%|#5        | 6.33M/41.5M [00:00<00:01, 23.6MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:00, 37.2MB/s]      43%|####3     | 17.9M/41.5M [00:00<00:00, 34.0MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 34.2MB/s]      76%|#######6  | 31.7M/41.5M [00:00<00:00, 42.9MB/s]      87%|########6 | 35.9M/41.5M [00:01<00:00, 38.8MB/s]      96%|#########5| 39.7M/41.5M [00:01<00:00, 37.3MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 34.0MB/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 6e5a98a434..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  0.217 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 a2e73b6524..4ab9475f41 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
-       0%|          | 0.00/44.7M [00:00<?, ?B/s]      18%|#7        | 7.99M/44.7M [00:00<00:00, 41.4MB/s]      32%|###2      | 14.3M/44.7M [00:00<00:01, 25.3MB/s]      43%|####3     | 19.3M/44.7M [00:00<00:00, 31.4MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 35.1MB/s]      68%|######7   | 30.3M/44.7M [00:00<00:00, 38.3MB/s]      86%|########5 | 38.3M/44.7M [00:01<00:00, 43.5MB/s]      96%|#########5| 42.7M/44.7M [00:01<00:00, 38.3MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 37.8MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      18%|#7        | 7.99M/44.7M [00:00<00:00, 74.0MB/s]      34%|###3      | 15.1M/44.7M [00:00<00:00, 66.3MB/s]      52%|#####1    | 23.0M/44.7M [00:00<00:00, 73.4MB/s]      69%|######8   | 30.6M/44.7M [00:00<00:00, 75.9MB/s]      90%|########9 | 40.0M/44.7M [00:00<00:00, 80.1MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 74.3MB/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 9db27d7fc1..0a64e9ef15 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  29.382 seconds)
+   **Total running time of the script:** ( 1 minutes  29.221 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 3f6ea0038d..99e333eba0 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
 =================
-**06:35.801** total execution time for **how_to_compile_models** files:
+**06:31.195** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:36.632 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:34.245 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.382 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.221 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:00.217 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:58.971 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:43.078 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:42.074 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:37.354 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:37.392 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:28.258 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:27.637 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.965 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:27.337 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.082 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:11.539 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.832 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.779 | 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 3c1989052b..8fd6e9fb6f 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)  
-     3994.3073    3993.7737    3997.3790    3992.8868      1.3006                  
+     3990.0556    3989.0571    3998.5293    3987.5312      3.1488                  
 
 
 
@@ -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  17.569 seconds)
+   **Total running time of the script:** ( 1 minutes  16.859 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 a101d04783..f2bf966b3f 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       8380416/102967424 [=>............................] - ETA: 0s      16769024/102967424 [===>..........................] - ETA: 0s      25157632/102967424 [======>.......................] - ETA: 0s      33546240/102967424 [========>.....................] - ETA: 0s      40656896/102967424 [==========>...................] - ETA: 0s      41934848/102967424 [===========>..................] - ETA: 0s      48578560/102967424 [=============>................] - ETA: 0s
       51470336/102967424 [=============>................] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      69296128/102967424 [===================>..........] - 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       7618560/102967424 [=>............................] - ETA: 0s      11796480/102967424 [==>...........................] - ETA: 0s      16769024/102967424 [===>..........................] - ETA: 0s      25157632/102967424 [======>.......................] - ETA: 0s      31031296/102967424 [========>.....................] - ETA: 0s      33546240/102967424 [========>.....................] - ETA: 0s      41934848/102967424 [===========>..................] - ETA: 0s
       48578560/102967424 [=============>................] - ETA: 0s      57286656/102967424 [===============>..............] - ETA: 0s      62046208/102967424 [=================>............] - ETA: 0s      70541312/102967424 [===================>..........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s      94806016/102967424 [==========================>...] -
  ETA: 0s      98910208/102967424 [===========================>..] - ETA: 0s     102883328/102967424 [============================>.] - 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 dc01825f81..6642d2e638 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)  
-      15.1627      15.2266      15.4761      14.5947       0.2311                  
+      14.4100      14.3660      15.2845      14.0266       0.3226                  
 
 
 
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 36046ed133..922714a20e 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-       0%|          | 0.00/170M [00:00<?, ?B/s]       4%|3         | 6.30M/170M [00:00<00:03, 53.4MB/s]       7%|6         | 11.4M/170M [00:00<00:03, 50.6MB/s]      10%|9         | 16.2M/170M [00:00<00:04, 33.7MB/s]      14%|#4        | 24.0M/170M [00:00<00:03, 40.1MB/s]      18%|#7        | 30.3M/170M [00:00<00:03, 43.4MB/s]      20%|##        | 34.7M/170M [00:00<00:03, 41.5MB/s]      24%|##3       | 40.0M/170M [00:01<00:03, 41.5MB/s]      28%|##8       | 48.0M/170M [00:01<00:03, 41.3MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 48.3MB/s]      37%|###6      | 62.3M/170M [00:01<00:02, 50.1MB/s]      40%|###9      | 67.2M/170M [00:01<00:02, 39.3MB/s]      42%|####2     | 72.0M/170M [00:01<00:02, 40.7MB/s]      46%|####6     | 78.3M/170M [00:01<00:02, 44.7MB/s]      49%|####8     | 82.8M/170M [00:02<00:02, 37.5MB/s]      52%|#####1    | 88.0M/170M [00:02<00:02, 30.1MB/s]      56%|#####5    | 94.3M/170M [00:02<00:02, 36.2MB/s]      58%|#####7    | 98.4M/170M [00:02<00:02, 35.2MB/
 s]      60%|######    | 102M/170M [00:03<00:03, 21.0MB/s]       62%|######1   | 105M/170M [00:03<00:03, 20.8MB/s]      66%|######5   | 112M/170M [00:03<00:02, 29.2MB/s]      71%|#######   | 120M/170M [00:03<00:01, 36.7MB/s]      75%|#######5  | 128M/170M [00:03<00:01, 38.9MB/s]      79%|#######9  | 134M/170M [00:03<00:00, 37.9MB/s]      81%|########1 | 138M/170M [00:03<00:00, 33.3MB/s]      85%|########4 | 144M/170M [00:04<00:00, 33.1MB/s]      89%|########9 | 152M/170M [00:04<00:00, 34.8MB/s]      94%|#########4| 160M/170M [00:04<00:00, 39.2MB/s]      98%|#########7| 166M/170M [00:04<00:00, 31.4MB/s]     100%|##########| 170M/170M [00:04<00:00, 36.0MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       5%|4         | 7.99M/170M [00:00<00:03, 44.3MB/s]       8%|8         | 14.3M/170M [00:00<00:03, 51.1MB/s]      11%|#1        | 19.4M/170M [00:00<00:03, 47.0MB/s]      14%|#4        | 23.9M/170M [00:00<00:04, 34.8MB/s]      16%|#6        | 27.5M/170M [00:00<00:04, 34.2MB/s]      19%|#8        | 32.0M/170M [00:00<00:04, 30.8MB/s]      24%|##3       | 40.0M/170M [00:01<00:03, 39.5MB/s]      27%|##7       | 46.3M/170M [00:01<00:02, 44.5MB/s]      30%|##9       | 50.8M/170M [00:01<00:03, 39.1MB/s]      33%|###2      | 56.0M/170M [00:01<00:03, 36.2MB/s]      38%|###7      | 64.0M/170M [00:01<00:03, 36.7MB/s]      42%|####2     | 72.0M/170M [00:01<00:02, 41.0MB/s]      46%|####6     | 78.3M/170M [00:02<00:02, 36.6MB/s]      48%|####8     | 81.9M/170M [00:02<00:02, 35.5MB/s]      51%|#####     | 86.3M/170M [00:02<00:02, 37.2MB/s]      53%|#####2    | 90.0M/170M [00:02<00:02, 37.0MB/s]      57%|#####6    | 96.0M/170M [00:02<00:02, 32.3MB/
 s]      61%|######1   | 104M/170M [00:02<00:01, 35.5MB/s]       66%|######5   | 112M/170M [00:03<00:01, 45.0MB/s]      71%|#######   | 120M/170M [00:03<00:01, 50.3MB/s]      75%|#######5  | 128M/170M [00:03<00:01, 43.5MB/s]      80%|########  | 136M/170M [00:03<00:00, 46.1MB/s]      85%|########4 | 144M/170M [00:03<00:00, 49.6MB/s]      88%|########8 | 150M/170M [00:03<00:00, 51.3MB/s]      92%|#########1| 155M/170M [00:03<00:00, 50.3MB/s]      94%|#########4| 160M/170M [00:04<00:00, 36.2MB/s]      98%|#########7| 166M/170M [00:04<00:00, 38.6MB/s]     100%|##########| 170M/170M [00:04<00:00, 40.5MB/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  33.599 seconds)
+   **Total running time of the script:** ( 3 minutes  26.433 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 494d9907a1..84157387ff 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, 59.1MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 45.9MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      59%|#####8    | 7.99M/13.6M [00:00<00:00, 53.9MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 63.9MB/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)  
-      86.2617      86.1923      87.2707      85.9810       0.2138                  
+      86.1678      86.1296      87.5604      85.7649       0.2445                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  27.248 seconds)
+   **Total running time of the script:** ( 1 minutes  25.944 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 0103bda0c1..d3982147d6 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)  
-      107.3106     107.2776     108.5267     106.8905      0.2694                  
+      106.9944     106.9412     112.0087     105.6538      0.6166                  
 
 
 
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 c9541ef708..26f727a2d3 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**09:43.466** total execution time for **how_to_deploy_models** files:
+**09:31.786** 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``) | 03:33.599 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:26.433 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:27.248 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:25.944 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:17.569 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:16.859 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:50.835 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:50.226 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:50.211 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:49.640 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:45.778 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:44.913 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.249 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.012 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.966 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.751 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.012 | 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 b67740f602..342deb71c4 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
 =================
-**00:03.982** total execution time for **how_to_extend_tvm** files:
+**00:04.054** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.793 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.857 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.182 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.190 | 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 7eba3d8f0f..d8ee0dde7b 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: 24588us [24588us] (48.56%; 48.56%)
-    FoldScaleAxis: 26045us [9us] (51.44%; 51.44%)
-            FoldConstant: 26035us [1786us] (51.42%; 99.96%)
-                    InferType: 24249us [24249us] (47.89%; 93.14%)
+    InferType: 25280us [25280us] (48.53%; 48.53%)
+    FoldScaleAxis: 26811us [7us] (51.47%; 51.47%)
+            FoldConstant: 26804us [1792us] (51.46%; 99.97%)
+                    InferType: 25012us [25012us] (48.02%; 93.31%)
 
 
 
@@ -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: 24482us [24482us] (47.29%; 47.29%)
-    FoldScaleAxis: 27289us [8us] (52.71%; 52.71%)
-            FoldConstant: 27281us [1820us] (52.70%; 99.97%)
-                    InferType: 25461us [25461us] (49.18%; 93.33%)
+    InferType: 25097us [25097us] (48.47%; 48.47%)
+    FoldScaleAxis: 26676us [7us] (51.53%; 51.53%)
+            FoldConstant: 26669us [1840us] (51.51%; 99.97%)
+                    InferType: 24829us [24829us] (47.96%; 93.10%)
 
 
 
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 a530f2b033..2d281ac5b8 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: 36.734336 ms
+    Convolution: 53.549087 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 f80c97dfb6..35d5dac521 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: 12.271622 ms
+    conv2d with tensor core: 11.068355 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 fca257fccf..3cd12f2a66 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: 0.018585
-    Baseline: 3.280685
+    Numpy running time: 0.014256
+    Baseline: 3.411588
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.284608
+    Opt1: 0.280367
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.269969
+    Opt2: 0.271664
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.112711
+    Opt3: 0.112447
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.102913
+    Opt4: 0.104239
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.108058
+    Opt5: 0.098505
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.128029
+    Opt6: 0.116369
 
 
 
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 6df7771bad..60814e49e2 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
 =================
-**00:32.816** total execution time for **how_to_optimize_operators** files:
+**00:32.109** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:29.880 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:29.082 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.782 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.763 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.153 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.264 | 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 c4734f482a..3ad49e8bfc 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/sg_execution_times.rst.txt
@@ -5,18 +5,18 @@
 
 Computation times
 =================
-**03:33.813** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:30.335** total execution time for **how_to_tune_with_autoscheduler** files:
 
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:32.850 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:31.495 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:11.542 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:10.868 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:17.485 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:17.278 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:16.151 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:15.852 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:15.684 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.743 | 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``)               | 00:00.099 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index d85b3f249a..e4320ab4cc 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
@@ -766,7 +766,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 0.334 ms
+    Execution time of this operator: 0.337 ms
 
 
 
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
index b17e1d1239..7b36b1f053 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)  
-       3.2006       3.2006       3.2007       3.2005       0.0001                  
+       3.2118       3.2109       3.2141       3.2104       0.0016                  
 
 
 
@@ -660,7 +660,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  11.542 seconds)
+   **Total running time of the script:** ( 1 minutes  10.868 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 414720afd9..289db6b2d2 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)  
-      737.8320     738.8249     740.6626     734.0085      2.8058                  
+      722.2385     722.5255     724.6662     719.5238      2.1092                  
 
 
 
@@ -682,7 +682,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  32.850 seconds)
+   **Total running time of the script:** ( 1 minutes  31.495 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 0c820697e4..1f0356b4f1 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
 =================
-**00:23.906** total execution time for **how_to_tune_with_autotvm** files:
+**00:22.696** 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``)           | 00:23.870 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:22.664 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.021 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.017 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)             | 00:00.005 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
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 8dbd9b9a53..367f59d666 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: 0.036959
+    Time cost of this operator: 0.037088
 
 
 
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 40dc637d67..1906a62c4f 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
@@ -360,10 +360,10 @@ Timing the untuned program
     ########## Build without Autotuning ##########
     Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)  
     ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------  
-    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  295.5     98.728   (1, 2, 10, 10, 3)  2       1        [295.5]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.869     0.958    (1, 6, 10, 10)     1       1        [2.869]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.94      0.314    (1, 1, 10, 10, 3)  1       1        [0.94]            
-    Total_time                                    -                                             299.308   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  302.6     98.715   (1, 2, 10, 10, 3)  2       1        [302.6]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.962     0.966    (1, 6, 10, 10)     1       1        [2.962]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.978     0.319    (1, 1, 10, 10, 3)  1       1        [0.978]           
+    Total_time                                    -                                             306.54    -        -                  -       -        -                 
 
 
 
@@ -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  97.75     97.356   (1, 6, 10, 10, 1)  2       1        [97.75]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.701     1.694    (1, 6, 10, 10)     1       1        [1.701]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.953     0.949    (1, 1, 10, 10, 3)  1       1        [0.953]           
-    Total_time                                    -                                             100.404   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  104.9     97.559   (1, 6, 10, 10, 1)  2       1        [104.9]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.777     1.652    (1, 6, 10, 10)     1       1        [1.777]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.848     0.789    (1, 3, 10, 10, 1)  1       1        [0.848]           
+    Total_time                                    -                                             107.525   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  24.703 seconds)
+   **Total running time of the script:** ( 1 minutes  26.424 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 de264de59f..52903d3cac 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, 18.8MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 29.3MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]      61%|######    | 2.09M/3.42M [00:00<00:00, 11.9MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 18.7MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
       device=storage.device,
     /workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  27.866 seconds)
+   **Total running time of the script:** ( 1 minutes  26.353 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 88c72542e9..b1fe36184f 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/tmpeogazip9/images/random'
+    '/tmp/tmppv7imotm/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmpeogazip9/images/target contains 8144 images
-    /tmp/tmpeogazip9/images/random contains 5000 images
+    /tmp/tmppv7imotm/images/target contains 8144 images
+    /tmp/tmppv7imotm/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: 0.2118 - accuracy: 0.9250 - val_loss: 0.1323 - val_accuracy: 0.9562 - 39s/epoch - 117ms/step
+    328/328 - 39s - loss: 0.2166 - accuracy: 0.9249 - val_loss: 0.1258 - val_accuracy: 0.9554 - 39s/epoch - 118ms/step
     Epoch 2/3
-    328/328 - 34s - loss: 0.1026 - accuracy: 0.9631 - val_loss: 0.1074 - val_accuracy: 0.9619 - 34s/epoch - 105ms/step
+    328/328 - 34s - loss: 0.0964 - accuracy: 0.9662 - val_loss: 0.1384 - val_accuracy: 0.9498 - 34s/epoch - 105ms/step
     Epoch 3/3
-    328/328 - 34s - loss: 0.0644 - accuracy: 0.9767 - val_loss: 0.0998 - val_accuracy: 0.9660 - 34s/epoch - 105ms/step
+    328/328 - 35s - loss: 0.0661 - accuracy: 0.9753 - val_loss: 0.1024 - val_accuracy: 0.9653 - 35s/epoch - 105ms/step
 
-    <keras.callbacks.History object at 0x7f969c353a60>
+    <keras.callbacks.History object at 0x7f2295556e20>
 
 
 
@@ -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  38.338 seconds)
+   **Total running time of the script:** ( 4 minutes  46.713 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 447e797a5e..08ec3238da 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**07:59.792** total execution time for **how_to_work_with_microtvm** files:
+**08:08.371** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:38.338 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:46.713 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:27.866 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:26.424 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:24.703 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:26.353 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.998 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.701 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.662 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:09.123 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.224 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.057 | 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 e5f1f661e6..71bedc804c 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**00:38.398** total execution time for **how_to_work_with_relay** files:
+**00:37.575** 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``) | 00:33.359 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.555 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.160 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.128 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.872 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.884 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)                 | 00:00.007 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 22bb085e43..960020b438 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 0x7f97525fe670>
+    <function my_cuda_math_rule at 0x7f2299d63550>
 
 
 
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 d4c931a135..9b2035e717 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
 =================
-**00:05.630** total execution time for **how_to_work_with_schedules** files:
+**00:05.468** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.518 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.449 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.402 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.342 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.716 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.706 | 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``)                               | 00:00.685 | 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_extern_op.py` (``extern_op.py``)                     | 00:00.121 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.069 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.067 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.066 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.032 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.031 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index b259193253..13f8889af2 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ The compilation steps are:
 
     /workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
       warnings.warn(
-    yolov3-tiny inference graph built in 26.31s!
+    yolov3-tiny inference graph built in 26.74s!
 
 
 
@@ -445,6 +445,11 @@ Download test image
 
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 1 minutes  0.381 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 49998939a2..bc41656364 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
 
 Computation times
 =================
-**00:59.031** total execution time for **topic_vta_tutorials_frontend** files:
+**01:00.381** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.031 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:00.381 | 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 5b3fb2e039..44883f3c28 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
 =================
-**00:03.224** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.272** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.737 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.785 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.487 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/sg_execution_times.rst.txt
index 8c4521419f..66f49ee5e5 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
 =================
-**00:00.813** total execution time for **topic_vta_tutorials** files:
+**00:00.791** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.424 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.412 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.389 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.379 | 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 a1ad610489..dba3b383dc 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -325,7 +325,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 94.599 ms
+    Execution time of this operator: 90.137 ms
 
 
 
@@ -441,7 +441,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  39.185 seconds)
+   **Total running time of the script:** ( 1 minutes  45.176 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 898d4fd12c..8cc77cd0c6 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: 8.11/8.11       result: MeasureResult(costs=(0.033105321,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8159241676330566, timestamp=1708705386.5702653)        [('tile_y', [-1, 4]), ('tile_x', [-1, 8])],None,32
-    No: 2   GFLOPS: 7.47/8.11       result: MeasureResult(costs=(0.03594912979999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8984124660491943, timestamp=1708705387.40602)  [('tile_y', [-1, 64]), ('tile_x', [-1, 16])],None,46
-    No: 3   GFLOPS: 11.02/11.02     result: MeasureResult(costs=(0.024356222,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6921930313110352, timestamp=1708705388.0619438)        [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
-    No: 4   GFLOPS: 2.88/11.02      result: MeasureResult(costs=(0.09332523340000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7557992935180664, timestamp=1708705389.8160553)        [('tile_y', [-1, 16]), ('tile_x', [-1, 2])],None,14
-    No: 5   GFLOPS: 13.31/13.31     result: MeasureResult(costs=(0.0201634292,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6430220603942871, timestamp=1708705390.5712965)       [('tile_y', [-1, 128]), ('tile_x', [-1, 128])],None,77
-    No: 6   GFLOPS: 10.52/13.31     result: MeasureResult(costs=(0.025512842599999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6916074752807617, timestamp=1708705391.2389426)       [('tile_y', [-1, 8]), ('tile_x', [-1, 16])],None,43
-    No: 7   GFLOPS: 10.26/13.31     result: MeasureResult(costs=(0.026161014599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.674053430557251, timestamp=1708705391.9281917)        [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
-    No: 8   GFLOPS: 7.05/13.31      result: MeasureResult(costs=(0.038076751799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8770608901977539, timestamp=1708705392.805586)        [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
-    No: 9   GFLOPS: 8.48/13.31      result: MeasureResult(costs=(0.031644193,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7818388938903809, timestamp=1708705393.6986644)        [('tile_y', [-1, 1]), ('tile_x', [-1, 64])],None,60
-    No: 10  GFLOPS: 11.77/13.31     result: MeasureResult(costs=(0.022799952800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.607612133026123, timestamp=1708705394.3227592)        [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+    No: 1   GFLOPS: 12.97/12.97     result: MeasureResult(costs=(0.0206897024,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6065568923950195, timestamp=1708711204.2834284)       [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
+    No: 2   GFLOPS: 8.85/12.97      result: MeasureResult(costs=(0.030322223400000004,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7664384841918945, timestamp=1708711205.025699)        [('tile_y', [-1, 4]), ('tile_x', [-1, 8])],None,32
+    No: 3   GFLOPS: 11.74/12.97     result: MeasureResult(costs=(0.0228620754,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6322653293609619, timestamp=1708711205.654316)        [('tile_y', [-1, 2]), ('tile_x', [-1, 256])],None,81
+    No: 4   GFLOPS: 10.41/12.97     result: MeasureResult(costs=(0.025780368600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6807208061218262, timestamp=1708711206.3231006)       [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
+    No: 5   GFLOPS: 7.60/12.97      result: MeasureResult(costs=(0.0353249162,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8130064010620117, timestamp=1708711207.2685528)       [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
+    No: 6   GFLOPS: 15.72/15.72     result: MeasureResult(costs=(0.0170793576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.541215181350708, timestamp=1708711207.8074367)        [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
+    No: 7   GFLOPS: 12.14/15.72     result: MeasureResult(costs=(0.02210255,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6154811382293701, timestamp=1708711208.4237812) [('tile_y', [-1, 128]), ('tile_x', [-1, 512])],None,97
+    No: 8   GFLOPS: 3.76/15.72      result: MeasureResult(costs=(0.07138183940000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.403984785079956, timestamp=1708711209.8256555) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
+    No: 9   GFLOPS: 8.21/15.72      result: MeasureResult(costs=(0.0326766628,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7399241924285889, timestamp=1708711210.6809258)       [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
+    No: 10  GFLOPS: 1.06/15.72      result: MeasureResult(costs=(0.25376674920000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.292267322540283, timestamp=1708711215.0028558) [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index c723d87738..94b5089902 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': 481.34812769001655, 'median': 481.4714336000179, 'std': 3.101052305308833}
+    {'mean': 500.5685418899884, 'median': 501.0803453499648, 'std': 3.744422612045327}
 
 
 
@@ -582,30 +582,31 @@ the tuning data to.
 
  .. code-block:: none
 
-     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   15.22/  17.49 GFLOPS | Progress: (4/20) | 9.22 s     [Task  1/25]  Current/Best:   16.10/  24.67 GFLOPS | Progress: (8/20) | 12.80 s     [Task  1/25]  Current/Best:   13.20/  24.67 GFLOPS | Progress: (12/20) | 16.48 s     [Task  1/25]  Current/Best:   10.71/  24.67 GFLOPS | Progress: (16/20) | 18.63 s     [Task  1/25]  Current/Best:    9.85/  24.67 GFLOPS | Progress: (20/20) | 22.19 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   20.06/  20.06 GFLOPS | Progress: (4/20) | 4.10 s     [Task  2/25]  Current/Best:   13.29/  20.06 GFLOPS | Progress: (8/20) | 5.80 s     [Task  2/25]  Current/Best:    4.88/  20.06 GFLOPS | Progress: (12/20) | 7.55 s     [Task  2/25]  Current/Best:    8.04/  20.15 GFLOPS | Progress: (16/20) | 9.16 s     [Task  2/25]  Current/Best:   16.38/  20.15 GFLOPS | Progress: (20/20) | 10.81 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   20.30/  24.24 GFLOPS | Progress: (4/20) | 4.59 s     [Task  3/25]  Current/Best:   21.36/  24.24 GFLOPS | Progress: (8/20) | 7.95 s     [Task  3/25]  Current/Best:   14.33/  24.24 GFLOPS | Progress: (12/20) | 10.42 s     [Task  3/25]  Current/Best:    9.79/  24.24 GFLOPS | Progress: (16/20) | 13.34 s     [Task  3/25]  Current/Best:   11.41/  24.24 GFLOPS | Progress: (20/20) | 15.75 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:    8.10/  16.69 GFLOPS | Progress: (4/20) | 4.64 s     [Task  4/25]  Current/Best:    9.93/  16.69 GFLOPS | Progress: (8/20) | 11.19 s     [Task  4/25]  Current/Best:   13.27/  16.69 GFLOPS | Progress: (12/20) | 15.60 s     [Task  4/25]  Current/Best:   15.41/  16.69 GFLOPS | Progress: (16/20) | 19.78 s     [Task  4/25]  Current/Best:   10.66/  20.17 GFLOPS | Progress: (20/20) | 25.34 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   11.18/  17.95 GFLOPS | Progress: (4/20) | 4.32 s     [Task  5/25]  Current/Best:   14.47/  17.95 GFLOPS | Progress: (8/20) | 6.39 s     [Task  5/25]  Current/Best:   17.31/  18.86 GFLOPS | Progress: (12/20) | 8.24 s     [Task  5/25]  Current/Best:    3.67/  18.86 GFLOPS | Progress: (16/20) | 10.47 s     [Task  5/25]  Current/Best:   10.90/  18.86 GFLOPS | Progress: (20/20) | 12.30 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   15.74/  15.74 GFLOPS | Progress: (4/20) | 6.66 s     [Task  6/25]  Current/Best:    3.31/  18.08 GFLOPS | Progress: (8/20) | 11.12 s     [Task  6/25]  Current/Best:   14.69/  23.34 GFLOPS | Progress: (12/20) | 12.89 s     [Task  6/25]  Current/Best:   18.23/  23.34 GFLOPS | Progress: (16/20) | 15.31 s     [Task  6/25]  Current/Best:   14.08/  23.34 GFLOPS | Progress: (20/20) | 20.03 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   12.15/  19.82 GFLOPS | Progress: (4/20) | 5.08 s     [Task  7/25]  Current/Best:    3.21/  22.43 GFLOPS | Progress: (8/20) | 8.00 s     [Task  7/25]  Current/Best:   18.78/  22.43 GFLOPS | Progress: (12/20) | 10.37 s     [Task  7/25]  Current/Best:   17.06/  22.43 GFLOPS | Progress: (16/20) | 12.88 s     [Task  7/25]  Current/Best:    6.27/  22.43 GFLOPS | Progress: (20/20) | 15.14 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   15.15/  15.15 GFLOPS | Progress: (4/20) | 5.71 s     [Task  8/25]  Current/Best:    8.68/  15.15 GFLOPS | Progress: (8/20) | 12.41 s     [Task  8/25]  Current/Best:    9.10/  15.15 GFLOPS | Progress: (12/20) | 16.65 s     [Task  8/25]  Current/Best:   10.11/  17.22 GFLOPS | Progress: (16/20) | 22.41 s     [Task  8/25]  Current/Best:   11.89/  17.22 GFLOPS | Progress: (20/20) | 27.54 s Done.
-     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   14.43/  20.14 GFLOPS | Progress: (4/20) | 4.69 s     [Task  9/25]  Current/Best:    9.95/  20.14 GFLOPS | Progress: (8/20) | 9.39 s     [Task  9/25]  Current/Best:   14.49/  21.65 GFLOPS | Progress: (12/20) | 11.05 s     [Task  9/25]  Current/Best:   17.22/  21.65 GFLOPS | Progress: (16/20) | 12.64 s     [Task  9/25]  Current/Best:    6.58/  21.65 GFLOPS | Progress: (20/20) | 14.40 s Done.
-     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:    7.61/  19.98 GFLOPS | Progress: (4/20) | 4.37 s     [Task 10/25]  Current/Best:   11.31/  19.98 GFLOPS | Progress: (8/20) | 7.19 s     [Task 10/25]  Current/Best:   13.48/  22.24 GFLOPS | Progress: (12/20) | 9.57 s     [Task 10/25]  Current/Best:   12.69/  22.24 GFLOPS | Progress: (16/20) | 11.89 s     [Task 10/25]  Current/Best:   15.44/  22.24 GFLOPS | Progress: (20/20) | 14.26 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    9.87/  24.42 GFLOPS | Progress: (4/20) | 4.66 s     [Task 11/25]  Current/Best:   19.91/  24.42 GFLOPS | Progress: (8/20) | 6.82 s     [Task 11/25]  Current/Best:   20.41/  24.42 GFLOPS | Progress: (12/20) | 8.93 s     [Task 11/25]  Current/Best:    8.78/  24.42 GFLOPS | Progress: (16/20) | 11.60 s     [Task 11/25]  Current/Best:   12.58/  24.42 GFLOPS | Progress: (20/20) | 14.05 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   15.45/  15.45 GFLOPS | Progress: (4/20) | 7.18 s     [Task 12/25]  Current/Best:   10.32/  15.45 GFLOPS | Progress: (8/20) | 12.37 s     [Task 12/25]  Current/Best:   14.26/  18.99 GFLOPS | Progress: (12/20) | 14.68 s     [Task 12/25]  Current/Best:    6.46/  18.99 GFLOPS | Progress: (16/20) | 18.47 s     [Task 12/25]  Current/Best:   18.46/  18.99 GFLOPS | Progress: (20/20) | 23.10 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   22.60/  22.60 GFLOPS | Progress: (4/20) | 4.88 s     [Task 13/25]  Current/Best:    9.89/  22.60 GFLOPS | Progress: (8/20) | 7.48 s     [Task 13/25]  Current/Best:    3.21/  22.60 GFLOPS | Progress: (12/20) | 12.03 s     [Task 13/25]  Current/Best:   16.64/  22.60 GFLOPS | Progress: (16/20) | 15.64 s     [Task 13/25]  Current/Best:    6.18/  22.60 GFLOPS | Progress: (20/20) | 19.27 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   15.16/  15.16 GFLOPS | Progress: (4/20) | 5.05 s     [Task 14/25]  Current/Best:   14.13/  18.21 GFLOPS | Progress: (8/20) | 16.56 s     [Task 14/25]  Current/Best:    3.94/  19.59 GFLOPS | Progress: (12/20) | 23.40 s     [Task 14/25]  Current/Best:    5.98/  19.59 GFLOPS | Progress: (16/20) | 28.37 s     [Task 14/25]  Current/Best:    6.93/  19.59 GFLOPS | Progress: (20/20) | 36.61 s     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    3.25/  18.52 GFLOPS | Progress: (4/20) | 10.26 s     [Task 15/25]  Current/Best:    9.73/  18.52 GFLOPS | Progress: (8/20) | 13.70 s     [Task 15/25]  Current/Best:    8.93/  19.36 GFLOPS | Progress: (12/20) | 20.62 s     [Task 15/25]  Current/Best:   13.74/  19.36 GFLOPS | Progress: (16/20) | 23.38 s     [Task 15/25]  Current/Best:   14.61/  19.36 GFLOPS | Progress: (20
 /20) | 28.08 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   13.83/  18.85 GFLOPS | Progress: (4/20) | 4.55 s     [Task 16/25]  Current/Best:   14.44/  19.03 GFLOPS | Progress: (8/20) | 6.71 s     [Task 16/25]  Current/Best:    4.11/  19.03 GFLOPS | Progress: (12/20) | 10.03 s     [Task 16/25]  Current/Best:   18.17/  19.03 GFLOPS | Progress: (16/20) | 11.71 s     [Task 16/25]  Current/Best:    6.17/  22.67 GFLOPS | Progress: (20/20) | 13.37 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   17.47/  24.15 GFLOPS | Progress: (4/20) | 4.66 s     [Task 17/25]  Current/Best:   20.84/  24.15 GFLOPS | Progress: (8/20) | 7.66 s     [Task 17/25]  Current/Best:   23.13/  24.15 GFLOPS | Progress: (12/20) | 9.69 s     [Task 17/25]  Current/Best:    6.35/  24.15 GFLOPS | Progress: (16/20) | 12.51 s     [Task 17/25]  Current/Best:   12.61/  24.15 GFLOPS | Progress: (20/20) | 14.77 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   12.63/  18.40 GFLOPS | Progress: (4/20) | 8.63 s     [Task 18/25]  Current/Best:   12.88/  20.05 GFLOPS | Progress: (8/20) | 11.32 s     [Task 18/25]  Current/Best:   16.96/  20.05 GFLOPS | Progress: (12/20) | 14.67 s     [Task 18/25]  Current/Best:    5.56/  20.05 GFLOPS | Progress: (16/20) | 18.18 s     [Task 18/25]  Current/Best:   15.14/  20.05 GFLOPS | Progress: (20/20) | 21.11 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    8.99/  21.29 GFLOPS | Progress: (4/20) | 5.55 s     [Task 19/25]  Current/Best:   13.70/  22.26 GFLOPS | Progress: (8/20) | 8.26 s     [Task 19/25]  Current/Best:    9.53/  22.26 GFLOPS | Progress: (12/20) | 11.93 s     [Task 19/25]  Current/Best:    5.49/  23.01 GFLOPS | Progress: (16/20) | 16.48 s     [Task 19/25]  Current/Best:    1.60/  23.01 GFLOPS | Progress: (20/20) | 20.83 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    9.54/  19.10 GFLOPS | Progress: (4/20) | 11.34 s     [Task 20/25]  Current/Best:   15.17/  19.10 GFLOPS | Progress: (8/20) | 14.26 s     [Task 20/25]  Current/Best:   14.52/  20.92 GFLOPS | Progress: (12/20) | 16.60 s     [Task 20/25]  Current/Best:   10.17/  20.92 GFLOPS | Progress: (16/20) | 20.84 s     [Task 20/25]  Current/Best:    5.77/  21.30 GFLOPS | Progress: (20/20) | 27.33 s Done.
-     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:   16.13/  21.62 GFLOPS | Progress: (4/20) | 4.80 s     [Task 21/25]  Current/Best:   19.79/  21.62 GFLOPS | Progress: (8/20) | 16.13 s     [Task 21/25]  Current/Best:   10.14/  21.62 GFLOPS | Progress: (12/20) | 27.47 s     [Task 21/25]  Current/Best:   14.35/  21.62 GFLOPS | Progress: (16/20) | 33.10 s     [Task 21/25]  Current/Best:   11.10/  21.67 GFLOPS | Progress: (20/20) | 34.77 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   11.63/  12.77 GFLOPS | Progress: (4/20) | 9.58 s     [Task  1/25]  Current/Best:   12.07/  17.88 GFLOPS | Progress: (8/20) | 12.89 s     [Task  1/25]  Current/Best:   16.16/  22.63 GFLOPS | Progress: (12/20) | 14.94 s     [Task  1/25]  Current/Best:    8.10/  22.63 GFLOPS | Progress: (16/20) | 17.72 s     [Task  1/25]  Current/Best:   22.98/  22.98 GFLOPS | Progress: (20/20) | 19.99 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   14.55/  17.32 GFLOPS | Progress: (4/20) | 4.10 s     [Task  2/25]  Current/Best:   12.80/  20.92 GFLOPS | Progress: (8/20) | 6.80 s     [Task  2/25]  Current/Best:   15.75/  20.92 GFLOPS | Progress: (12/20) | 8.80 s     [Task  2/25]  Current/Best:   17.76/  20.92 GFLOPS | Progress: (16/20) | 10.21 s     [Task  2/25]  Current/Best:    6.63/  20.92 GFLOPS | Progress: (20/20) | 12.31 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   13.50/  21.68 GFLOPS | Progress: (4/20) | 6.03 s     [Task  3/25]  Current/Best:   14.29/  21.68 GFLOPS | Progress: (8/20) | 8.84 s     [Task  3/25]  Current/Best:    9.75/  21.68 GFLOPS | Progress: (12/20) | 11.23 s     [Task  3/25]  Current/Best:   10.03/  21.68 GFLOPS | Progress: (16/20) | 13.38 s     [Task  3/25]  Current/Best:   17.44/  21.68 GFLOPS | Progress: (20/20) | 15.47 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   18.13/  18.13 GFLOPS | Progress: (4/20) | 6.49 s     [Task  4/25]  Current/Best:   12.61/  18.13 GFLOPS | Progress: (8/20) | 8.39 s     [Task  4/25]  Current/Best:    6.27/  18.49 GFLOPS | Progress: (12/20) | 14.49 s     [Task  4/25]  Current/Best:   17.05/  18.49 GFLOPS | Progress: (16/20) | 16.44 s     [Task  4/25]  Current/Best:    5.91/  19.54 GFLOPS | Progress: (20/20) | 22.61 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   20.56/  23.22 GFLOPS | Progress: (4/20) | 4.20 s     [Task  5/25]  Current/Best:   12.51/  23.22 GFLOPS | Progress: (8/20) | 7.29 s     [Task  5/25]  Current/Best:   10.62/  23.22 GFLOPS | Progress: (12/20) | 9.64 s     [Task  5/25]  Current/Best:    8.36/  23.22 GFLOPS | Progress: (16/20) | 11.79 s     [Task  5/25]  Current/Best:   10.74/  23.22 GFLOPS | Progress: (20/20) | 14.66 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    4.14/  13.77 GFLOPS | Progress: (4/20) | 5.67 s     [Task  6/25]  Current/Best:    5.86/  14.58 GFLOPS | Progress: (8/20) | 8.45 s     [Task  6/25]  Current/Best:    4.50/  14.58 GFLOPS | Progress: (12/20) | 11.77 s     [Task  6/25]  Current/Best:   16.77/  16.77 GFLOPS | Progress: (16/20) | 14.88 s     [Task  6/25]  Current/Best:   14.94/  16.77 GFLOPS | Progress: (20/20) | 17.33 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   15.78/  15.78 GFLOPS | Progress: (4/20) | 5.63 s     [Task  7/25]  Current/Best:   19.57/  19.57 GFLOPS | Progress: (8/20) | 8.63 s     [Task  7/25]  Current/Best:   18.22/  19.57 GFLOPS | Progress: (12/20) | 11.31 s     [Task  7/25]  Current/Best:    8.15/  19.57 GFLOPS | Progress: (16/20) | 13.90 s     [Task  7/25]  Current/Best:   17.38/  19.97 GFLOPS | Progress: (20/20) | 16.09 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   13.03/  13.48 GFLOPS | Progress: (4/20) | 13.96 s     [Task  8/25]  Current/Best:   12.19/  21.66 GFLOPS | Progress: (8/20) | 17.31 s     [Task  8/25]  Current/Best:    3.96/  21.66 GFLOPS | Progress: (12/20) | 24.23 s     [Task  8/25]  Current/Best:   18.79/  21.66 GFLOPS | Progress: (16/20) | 32.23 s     [Task  8/25]  Current/Best:    8.49/  21.66 GFLOPS | Progress: (20/20) | 40.80 s     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   13.22/  14.56 GFLOPS | Progress: (4/20) | 6.00 s     [Task  9/25]  Current/Best:   12.73/  17.78 GFLOPS | Progress: (8/20) | 8.26 s     [Task  9/25]  Current/Best:   12.23/  17.78 GFLOPS | Progress: (12/20) | 11.22 s     [Task  9/25]  Current/Best:    6.26/  17.78 GFLOPS | Progress: (16/20) | 13.10 s     [Task  9/25]  Current/Best:    7.09/  17.78 GFLOPS | Progress: (20/
 20) | 17.45 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:    2.62/  17.06 GFLOPS | Progress: (4/20) | 4.90 s     [Task 10/25]  Current/Best:   14.05/  17.06 GFLOPS | Progress: (8/20) | 8.38 s     [Task 10/25]  Current/Best:   13.37/  20.28 GFLOPS | Progress: (12/20) | 11.09 s     [Task 10/25]  Current/Best:   16.64/  20.28 GFLOPS | Progress: (16/20) | 13.05 s     [Task 10/25]  Current/Best:   15.52/  20.28 GFLOPS | Progress: (20/20) | 15.07 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    8.44/  19.51 GFLOPS | Progress: (4/20) | 5.13 s     [Task 11/25]  Current/Best:   17.36/  19.51 GFLOPS | Progress: (8/20) | 7.49 s     [Task 11/25]  Current/Best:   10.11/  19.51 GFLOPS | Progress: (12/20) | 9.87 s     [Task 11/25]  Current/Best:   20.23/  20.23 GFLOPS | Progress: (16/20) | 11.93 s     [Task 11/25]  Current/Best:   11.93/  20.23 GFLOPS | Progress: (20/20) | 14.64 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   14.73/  17.85 GFLOPS | Progress: (4/20) | 4.79 s     [Task 12/25]  Current/Best:   12.64/  22.15 GFLOPS | Progress: (8/20) | 6.70 s     [Task 12/25]  Current/Best:   14.97/  22.15 GFLOPS | Progress: (12/20) | 14.47 s     [Task 12/25]  Current/Best:   14.04/  22.15 GFLOPS | Progress: (16/20) | 17.25 s     [Task 12/25]  Current/Best:    6.83/  22.15 GFLOPS | Progress: (20/20) | 19.85 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   18.96/  18.96 GFLOPS | Progress: (4/20) | 5.20 s     [Task 13/25]  Current/Best:   19.57/  19.57 GFLOPS | Progress: (8/20) | 8.82 s     [Task 13/25]  Current/Best:   11.39/  19.57 GFLOPS | Progress: (12/20) | 13.73 s     [Task 13/25]  Current/Best:   18.74/  19.57 GFLOPS | Progress: (16/20) | 16.29 s     [Task 13/25]  Current/Best:   12.57/  19.81 GFLOPS | Progress: (20/20) | 19.19 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   11.12/  13.15 GFLOPS | Progress: (4/20) | 6.41 s     [Task 14/25]  Current/Best:   16.36/  16.36 GFLOPS | Progress: (8/20) | 9.81 s     [Task 14/25]  Current/Best:    6.05/  16.36 GFLOPS | Progress: (12/20) | 15.55 s     [Task 14/25]  Current/Best:   13.17/  16.36 GFLOPS | Progress: (16/20) | 22.33 s     [Task 14/25]  Current/Best:   14.50/  16.36 GFLOPS | Progress: (20/20) | 25.23 s Done.
+     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   11.52/  17.77 GFLOPS | Progress: (4/20) | 6.85 s     [Task 15/25]  Current/Best:   15.04/  17.77 GFLOPS | Progress: (8/20) | 9.26 s     [Task 15/25]  Current/Best:   13.84/  18.63 GFLOPS | Progress: (12/20) | 20.30 s     [Task 15/25]  Current/Best:    9.92/  20.96 GFLOPS | Progress: (16/20) | 31.45 s     [Task 15/25]  Current/Best:    6.63/  21.25 GFLOPS | Progress: (20/20) | 41.20 s     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
      Done.
-     [Task 22/25]  Current/Best:   12.46/  20.10 GFLOPS | Progress: (4/20) | 5.01 s     [Task 22/25]  Current/Best:   20.57/  20.57 GFLOPS | Progress: (8/20) | 9.59 s     [Task 22/25]  Current/Best:    7.62/  20.57 GFLOPS | Progress: (12/20) | 13.14 s     [Task 22/25]  Current/Best:    9.96/  20.57 GFLOPS | Progress: (16/20) | 14.95 s     [Task 22/25]  Current/Best:   10.71/  20.57 GFLOPS | Progress: (20/20) | 16.72 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   20.10/  20.10 GFLOPS | Progress: (4/20) | 6.16 s     [Task 23/25]  Current/Best:   22.00/  23.63 GFLOPS | Progress: (8/20) | 9.83 s     [Task 23/25]  Current/Best:    3.18/  23.63 GFLOPS | Progress: (12/20) | 13.13 s     [Task 23/25]  Current/Best:   11.96/  23.63 GFLOPS | Progress: (16/20) | 16.43 s     [Task 23/25]  Current/Best:    6.38/  23.63 GFLOPS | Progress: (20/20) | 22.05 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    2.47/  10.07 GFLOPS | Progress: (4/20) | 7.46 s     [Task 24/25]  Current/Best:    3.87/  10.07 GFLOPS | Progress: (8/20) | 12.68 s     [Task 24/25]  Current/Best:    0.00/  10.07 GFLOPS | Progress: (12/20) | 22.78 s     [Task 24/25]  Current/Best:    5.47/  10.11 GFLOPS | Progress: (16/20) | 35.60 s     [Task 24/25]  Current/Best:    3.86/  10.11 GFLOPS | Progress: (20/20) | 41.53 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    6.47/   7.92 GFLOPS | Progress: (4/20) | 13.51 s     [Task 25/25]  Current/Best:    3.10/   9.22 GFLOPS | Progress: (8/20) | 24.51 s     [Task 25/25]  Current/Best:    5.50/   9.22 GFLOPS | Progress: (12/20) | 27.67 s     [Task 25/25]  Current/Best:    1.60/   9.22 GFLOPS | Progress: (16/20) | 33.78 s     [Task 25/25]  Current/Best:    2.70/   9.22 GFLOPS | Progress: (20
 /20) | 44.76 s
+     [Task 16/25]  Current/Best:    5.48/  15.76 GFLOPS | Progress: (4/20) | 4.90 s     [Task 16/25]  Current/Best:   11.94/  15.76 GFLOPS | Progress: (8/20) | 6.71 s     [Task 16/25]  Current/Best:   14.87/  18.60 GFLOPS | Progress: (12/20) | 8.29 s     [Task 16/25]  Current/Best:   14.50/  22.43 GFLOPS | Progress: (16/20) | 11.44 s     [Task 16/25]  Current/Best:    9.61/  22.43 GFLOPS | Progress: (20/20) | 14.03 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    7.39/  19.88 GFLOPS | Progress: (4/20) | 6.57 s     [Task 17/25]  Current/Best:    9.39/  23.01 GFLOPS | Progress: (8/20) | 9.74 s     [Task 17/25]  Current/Best:   19.63/  23.01 GFLOPS | Progress: (12/20) | 11.86 s     [Task 17/25]  Current/Best:    5.34/  23.01 GFLOPS | Progress: (16/20) | 14.37 s     [Task 17/25]  Current/Best:   11.98/  23.01 GFLOPS | Progress: (20/20) | 17.31 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:    5.88/  18.64 GFLOPS | Progress: (4/20) | 5.42 s     [Task 18/25]  Current/Best:   12.54/  18.64 GFLOPS | Progress: (8/20) | 11.48 s     [Task 18/25]  Current/Best:   11.23/  18.64 GFLOPS | Progress: (12/20) | 14.15 s     [Task 18/25]  Current/Best:   13.56/  18.84 GFLOPS | Progress: (16/20) | 17.67 s     [Task 18/25]  Current/Best:   10.14/  18.84 GFLOPS | Progress: (20/20) | 23.37 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   10.74/  12.01 GFLOPS | Progress: (4/20) | 6.44 s     [Task 19/25]  Current/Best:   10.45/  22.30 GFLOPS | Progress: (8/20) | 10.25 s     [Task 19/25]  Current/Best:   17.07/  22.30 GFLOPS | Progress: (12/20) | 13.04 s     [Task 19/25]  Current/Best:    9.71/  22.30 GFLOPS | Progress: (16/20) | 17.72 s     [Task 19/25]  Current/Best:    7.96/  22.30 GFLOPS | Progress: (20/20) | 20.94 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   16.77/  18.79 GFLOPS | Progress: (4/20) | 5.11 s     [Task 20/25]  Current/Best:    4.64/  18.79 GFLOPS | Progress: (8/20) | 10.40 s     [Task 20/25]  Current/Best:   11.85/  18.79 GFLOPS | Progress: (12/20) | 14.92 s     [Task 20/25]  Current/Best:   11.91/  18.79 GFLOPS | Progress: (16/20) | 18.06 s     [Task 20/25]  Current/Best:    6.69/  18.79 GFLOPS | Progress: (20/20) | 20.77 s Done.
+     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:    8.65/  12.67 GFLOPS | Progress: (4/20) | 13.44 s     [Task 21/25]  Current/Best:   21.42/  21.42 GFLOPS | Progress: (8/20) | 23.34 s     [Task 21/25]  Current/Best:    9.69/  21.65 GFLOPS | Progress: (12/20) | 25.77 s     [Task 21/25]  Current/Best:    2.82/  23.48 GFLOPS | Progress: (16/20) | 32.56 s     [Task 21/25]  Current/Best:    7.86/  23.48 GFLOPS | Progress: (20/20) | 43.79 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:    2.79/  15.30 GFLOPS | Progress: (4/20) | 5.60 s     [Task 22/25]  Current/Best:   10.32/  19.07 GFLOPS | Progress: (8/20) | 7.56 s     [Task 22/25]  Current/Best:   18.67/  20.59 GFLOPS | Progress: (12/20) | 10.40 s     [Task 22/25]  Current/Best:    6.35/  20.59 GFLOPS | Progress: (16/20) | 12.75 s     [Task 22/25]  Current/Best:   18.13/  20.59 GFLOPS | Progress: (20/
 20) | 15.21 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   14.60/  22.57 GFLOPS | Progress: (4/20) | 5.49 s     [Task 23/25]  Current/Best:   17.89/  22.57 GFLOPS | Progress: (8/20) | 11.17 s     [Task 23/25]  Current/Best:   22.07/  22.57 GFLOPS | Progress: (12/20) | 14.11 s     [Task 23/25]  Current/Best:   10.67/  22.57 GFLOPS | Progress: (16/20) | 17.51 s     [Task 23/25]  Current/Best:    5.48/  22.57 GFLOPS | Progress: (20/20) | 20.55 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    2.32/   5.71 GFLOPS | Progress: (4/20) | 13.52 s     [Task 24/25]  Current/Best:    3.20/   5.71 GFLOPS | Progress: (8/20) | 24.24 s     [Task 24/25]  Current/Best:    0.87/   5.71 GFLOPS | Progress: (12/20) | 35.32 s     [Task 24/25]  Current/Best:    4.19/   6.13 GFLOPS | Progress: (16/20) | 46.29 s     [Task 24/25]  Current/Best:   10.78/  10.78 GFLOPS | Progress: (20/20) | 56.55 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+     Done.
+     [Task 25/25]  Current/Best:    6.36/   7.78 GFLOPS | Progress: (4/20) | 9.53 s     [Task 25/25]  Current/Best:    2.78/   7.78 GFLOPS | Progress: (8/20) | 12.70 s     [Task 25/25]  Current/Best:    7.74/   9.42 GFLOPS | Progress: (12/20) | 23.64 s     [Task 25/25]  Current/Best:    7.49/   9.42 GFLOPS | Progress: (16/20) | 34.66 s     [Task 25/25]  Current/Best:    5.69/   9.42 GFLOPS | Progress: (20/20) | 37.59 s
 
 
 
@@ -674,7 +675,6 @@ model using optimized operators to speed up our computations.
  .. code-block:: none
 
      Done.
-     Done.
 
 
 
@@ -708,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
 
  .. code-block:: none
 
-    class='n02123045 tabby, tabby cat' with probability=0.621103
-    class='n02123159 tiger cat' with probability=0.356379
+    class='n02123045 tabby, tabby cat' with probability=0.621104
+    class='n02123159 tiger cat' with probability=0.356378
     class='n02124075 Egyptian cat' with probability=0.019712
     class='n02129604 tiger, Panthera tigris' with probability=0.001215
     class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 402.50643606000267, 'median': 402.0000162499855, 'std': 2.156314005981635}
-    unoptimized: {'mean': 481.34812769001655, 'median': 481.4714336000179, 'std': 3.101052305308833}
+    optimized: {'mean': 392.7310230400326, 'median': 392.38115795005797, 'std': 2.756350245201662}
+    unoptimized: {'mean': 500.5685418899884, 'median': 501.0803453499648, 'std': 3.744422612045327}
 
 
 
@@ -790,7 +790,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  23.010 seconds)
+   **Total running time of the script:** ( 13 minutes  50.784 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 0c1f0fbc4d..025e5b6ecd 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
 
-    1.168e-07 secs/op
+    1.191e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 2dc9375b88..e6b86f286b 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, 0x15aa8240)), stage(b, placeholder(b, 0x14e81070)), 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, 0x2e5d7f30)), stage(b, placeholder(b, 0x169d9ad0)), 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 edbdbd27ba..1a62b170ce 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,31 +5,31 @@
 
 Computation times
 =================
-**16:59.630** total execution time for **tutorial** files:
+**17:36.619** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:23.010 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:50.784 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:39.185 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:45.176 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:58.129 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:59.516 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:42.682 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:41.974 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:14.644 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:17.222 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.894 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.893 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.872 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.846 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.214 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.207 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)                                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)   | 00:00.000 | 0.0 MB |
-+------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)   | 00:00.000 | 0.0 MB |
++------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)                           | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_install.py` (``install.py``)                                     | 00:00.000 | 0.0 MB |
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index aa5d5b37b4..98d5130083 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -285,8 +285,8 @@ helper function to run a profile of the TVM generated code.
 
  .. code-block:: none
 
-    Numpy running time: 0.000007
-    naive: 0.000008
+    Numpy running time: 0.000006
+    naive: 0.000006
 
 
 
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
 
  .. code-block:: none
 
-    parallel: 0.000007
+    parallel: 0.000006
 
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000040
+    vector: 0.000038
     # from tvm.script import ir as I
     # from tvm.script import tir as T
 
@@ -498,10 +498,10 @@ We can now compare the different schedules
  .. code-block:: none
 
                 Operator                  Timing             Performance
-                   numpy    6.846369997219881e-06                    1.0
-                   naive              7.7197e-06      1.1275610291489875
-                parallel              6.9021e-06      1.0081400804810068
-                  vector             3.96864e-05       5.796706870372991
+                   numpy    6.403580009646248e-06                    1.0
+                   naive                5.83e-06       0.910428227837832
+                parallel              6.0997e-06      0.9525452935407245
+                  vector             3.78053e-05         5.9037756915742
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.019189
+    Numpy running time: 0.015759
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.272752
+    none: 3.418535
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.294607
+    blocking: 0.297310
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.270536
+    vectorization: 0.279397
     # 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: 0.111096
+    loop permutation: 0.113207
     # 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: 0.101982
+    array packing: 0.101588
     # 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: 0.107330
+    block caching: 0.097111
     # 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: 0.127269
+    parallelization: 0.115826
     # 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            3.2727516867                     1.0
-                blocking            0.2946068223     0.09001807973921165
-           vectorization            0.2705356548     0.08266305564807092
-        loop permutation            0.1110957824      0.0339456802822767
-           array packing            0.1019821939    0.031160993458330864
-           block caching     0.10733010440000001     0.03279506503233178
-         parallelization            0.1272692957     0.03888755025845817
+                    none             3.418535093                     1.0
+                blocking            0.2973095805     0.08696987815301038
+           vectorization             0.279396823     0.08172998532971328
+        loop permutation     0.11320676249999999    0.033115577117171925
+           array packing            0.1015876327    0.029716714889958862
+           block caching            0.0971110519    0.028407212229252958
+         parallelization            0.1158260511     0.03388177916826785
 
 
 
diff --git a/docs/commit_hash b/docs/commit_hash
index 955c6de276..45c70946a4 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-72ce7013e46c432dd1f8c3e1ec862a1e72b9798e
+a6ab8cb8576df762a009c456c54059547bc643e8
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 30a2f5c06b..2333fc6174 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  36.632 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  34.245 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 4c89616796..dd8f931e5c 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,15 +468,15 @@ 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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- 77%|#######7  | 32.0M/41.5M [00:01&lt;00:00, 29.0MB/s]
- 92%|#########2| 38.3M/41.5M [00:01&lt;00:00, 31.9MB/s]
-100%|##########| 41.5M/41.5M [00:01&lt;00:00, 29.2MB/s]
+  6%|6         | 2.66M/41.5M [00:00&lt;00:02, 15.8MB/s]
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+ 76%|#######6  | 31.7M/41.5M [00:00&lt;00:00, 42.9MB/s]
+ 87%|########6 | 35.9M/41.5M [00:01&lt;00:00, 38.8MB/s]
+ 96%|#########5| 39.7M/41.5M [00:01&lt;00:00, 37.3MB/s]
+100%|##########| 41.5M/41.5M [00:01&lt;00:00, 34.0MB/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 94e2f91ea0..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  0.217 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 0436ca5ee0..28e04ceb30 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,14 +451,12 @@ be unstable.</p>
 Downloading: &quot;https://download.pytorch.org/models/resnet18-f37072fd.pth&quot; to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
 
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 86582aeb84..19bada6212 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  29.382 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  29.221 seconds)</p>
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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 354aa0e25b..dc40a020f4 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>06:35.801</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:31.195</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-odd"><td><p><a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></td>
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-<td><p>00:25.965</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="from_pytorch.html#sphx-glr-how-to-compile-models-from-pytorch-py"><span class="std std-ref">Compile PyTorch Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_pytorch.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
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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>
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 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.832</p></td>
+<td><p>00:02.779</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 6147989d0e..d9fa388468 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)
- 3994.3073    3993.7737    3997.3790    3992.8868      1.3006
+ 3990.0556    3989.0571    3998.5293    3987.5312      3.1488
 </pre></div>
 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  16.859 seconds)</p>
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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 0081a99dd8..080f95a55c 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
@@ -458,21 +458,23 @@ 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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+102883328/102967424 [============================&gt;.] - ETA: 0s
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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 a0c7809129..29d832f874 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)
-  15.1627      15.2266      15.4761      14.5947       0.2311
+  14.4100      14.3660      15.2845      14.0266       0.3226
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
index b3119fd414..5ab6e1fb2c 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,35 +474,34 @@ 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).
@@ -593,7 +592,7 @@ 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  33.599 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  26.433 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 1d457f7587..9b5eef5d34 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,8 +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>
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@@ -607,7 +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)
-  86.2617      86.1923      87.2707      85.9810       0.2138
+  86.1678      86.1296      87.5604      85.7649       0.2445
 </pre></div>
 </div>
 <div class="admonition note">
@@ -646,7 +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>
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 <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 28d6fd7593..dd050186ab 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)
-  107.3106     107.2776     108.5267     106.8905      0.2694
+  106.9944     106.9412     112.0087     105.6538      0.6166
 </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 7ce4894e30..ad454b0674 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>09:43.466</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:31.786</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 86%" />
@@ -369,39 +369,39 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:33.599</p></td>
+<td><p>03:26.433</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>01:27.248</p></td>
+<td><p>01:25.944</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>01:17.569</p></td>
+<td><p>01:16.859</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:50.835</p></td>
+<td><p>00:50.226</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>00:50.211</p></td>
+<td><p>00:49.640</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>00:45.778</p></td>
+<td><p>00:44.913</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>00:29.249</p></td>
+<td><p>00:29.012</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:28.966</p></td>
+<td><p>00:28.751</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>
-<td><p>00:00.012</p></td>
+<td><p>00:00.008</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 77894eaef8..05bafd03cb 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>00:03.982</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:04.054</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:02.793</p></td>
+<td><p>00:02.857</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>00:01.182</p></td>
+<td><p>00:01.190</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 0adbe02f2a..a79b6b4a56 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: 24588us [24588us] (48.56%; 48.56%)
-FoldScaleAxis: 26045us [9us] (51.44%; 51.44%)
-        FoldConstant: 26035us [1786us] (51.42%; 99.96%)
-                InferType: 24249us [24249us] (47.89%; 93.14%)
+InferType: 25280us [25280us] (48.53%; 48.53%)
+FoldScaleAxis: 26811us [7us] (51.47%; 51.47%)
+        FoldConstant: 26804us [1792us] (51.46%; 99.97%)
+                InferType: 25012us [25012us] (48.02%; 93.31%)
 </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: 24482us [24482us] (47.29%; 47.29%)
-FoldScaleAxis: 27289us [8us] (52.71%; 52.71%)
-        FoldConstant: 27281us [1820us] (52.70%; 99.97%)
-                InferType: 25461us [25461us] (49.18%; 93.33%)
+InferType: 25097us [25097us] (48.47%; 48.47%)
+FoldScaleAxis: 26676us [7us] (51.53%; 51.53%)
+        FoldConstant: 26669us [1840us] (51.51%; 99.97%)
+                InferType: 24829us [24829us] (47.96%; 93.10%)
 </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 cb275a7b02..5a1ae35dc3 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: 36.734336 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.549087 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 252eb7d7ee..627f6ffdb2 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: 12.271622 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.068355 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 a18c909d52..f5d9dc4029 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: 0.018585
-Baseline: 3.280685
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.014256
+Baseline: 3.411588
 </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: 0.284608
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.280367
 </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: 0.269969
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.271664
 </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: 0.112711
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.112447
 </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: 0.102913
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.104239
 </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: 0.108058
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.098505
 </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: 0.128029
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.116369
 </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 91dab28a8f..5c5ad87154 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>00:32.816</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:32.109</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>00:29.880</p></td>
+<td><p>00:29.082</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>00:01.782</p></td>
+<td><p>00:01.763</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>00:01.153</p></td>
+<td><p>00:01.264</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 9dcbca52ea..735f77d38b 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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@@ -369,27 +369,27 @@
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diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index c521dbf338..28c71739be 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -1032,7 +1032,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.337 ms
 </pre></div>
 </div>
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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 50dda17bf3..7e55f4b1c4 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)
-   3.2006       3.2006       3.2007       3.2005       0.0001
+   3.2118       3.2109       3.2141       3.2104       0.0016
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 </div>
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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>
 </ol>
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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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--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -945,7 +945,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  737.8320     738.8249     740.6626     734.0085      2.8058
+  722.2385     722.5255     724.6662     719.5238      2.1092
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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 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:23.906</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
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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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--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -630,7 +630,7 @@ and measure running time.</p>
 
 Best config:
 ,None
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+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -664,10 +664,10 @@ the tuned operator.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
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-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.94      0.314    (1, 1, 10, 10, 3)  1       1        [0.94]
-Total_time                                    -                                             299.308   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  302.6     98.715   (1, 2, 10, 10, 3)  2       1        [302.6]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.962     0.966    (1, 6, 10, 10)     1       1        [2.962]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.978     0.319    (1, 1, 10, 10, 3)  1       1        [0.978]
+Total_time                                    -                                             306.54    -        -                  -       -        -
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 </div>
 </div>
@@ -719,13 +719,13 @@ Total_time                                    -
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  97.75     97.356   (1, 6, 10, 10, 1)  2       1        [97.75]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.701     1.694    (1, 6, 10, 10)     1       1        [1.701]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.953     0.949    (1, 1, 10, 10, 3)  1       1        [0.953]
-Total_time                                    -                                             100.404   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  104.9     97.559   (1, 6, 10, 10, 1)  2       1        [104.9]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.777     1.652    (1, 6, 10, 10)     1       1        [1.777]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.848     0.789    (1, 3, 10, 10, 1)  1       1        [0.848]
+Total_time                                    -                                             107.525   -        -                  -       -        -
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  26.424 seconds)</p>
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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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--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,8 +475,8 @@ download a cat image and preprocess it to use as the model input.</p>
 Downloading: &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]
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-100%|##########| 3.42M/3.42M [00:00&lt;00:00, 29.3MB/s]
+ 61%|######    | 2.09M/3.42M [00:00&lt;00:00, 11.9MB/s]
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 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   device=storage.device,
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@@ -604,7 +604,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
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 </pre></div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  26.353 seconds)</p>
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diff --git a/docs/how_to/work_with_microtvm/micro_train.html b/docs/how_to/work_with_microtvm/micro_train.html
index d65ff77de7..ed450951af 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -543,7 +543,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/tmppv7imotm/images/random&#39;
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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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+<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[1.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmppv7imotm/images/target contains 8144 images
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@@ -716,13 +716,13 @@ the time on our validation set).</p>
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Epoch 1/3
-328/328 - 39s - loss: 0.2118 - accuracy: 0.9250 - val_loss: 0.1323 - val_accuracy: 0.9562 - 39s/epoch - 117ms/step
+328/328 - 39s - loss: 0.2166 - accuracy: 0.9249 - val_loss: 0.1258 - val_accuracy: 0.9554 - 39s/epoch - 118ms/step
 Epoch 2/3
-328/328 - 34s - loss: 0.1026 - accuracy: 0.9631 - val_loss: 0.1074 - val_accuracy: 0.9619 - 34s/epoch - 105ms/step
+328/328 - 34s - loss: 0.0964 - accuracy: 0.9662 - val_loss: 0.1384 - val_accuracy: 0.9498 - 34s/epoch - 105ms/step
 Epoch 3/3
-328/328 - 34s - loss: 0.0644 - accuracy: 0.9767 - val_loss: 0.0998 - val_accuracy: 0.9660 - 34s/epoch - 105ms/step
+328/328 - 35s - loss: 0.0661 - accuracy: 0.9753 - val_loss: 0.1024 - val_accuracy: 0.9653 - 35s/epoch - 105ms/step
 
-&lt;keras.callbacks.History object at 0x7f969c353a60&gt;
+&lt;keras.callbacks.History object at 0x7f2295556e20&gt;
 </pre></div>
 </div>
 </div>
@@ -986,7 +986,7 @@ as intended.</p>
 <p>From here, we could modify the model to read live images from the camera - we have another
 Arduino tutorial for how to do that <a class="reference external" href="https://github.com/guberti/tvm-arduino-demos/tree/master/examples/person_detection">on GitHub</a>. Alternatively, we could also
 <a class="reference external" href="https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html">use TVM’s autotuning capabilities</a> to dramatically improve the model’s performance.</p>
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index f0d5f4449a..989436a599 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-work-with-relay-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:38.398</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
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 <colgroup>
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diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 97db599bd8..a72da03ffa 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -572,7 +572,7 @@ The following example customizes CUDA lowering rule for <code class="code docuti
 <a href="../../reference/api/python/ir.html#tvm.ir.register_intrin_lowering" title="tvm.ir.register_intrin_lowering" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-function"><span class="n">register_intrin_lowering</span></a><span class="p">(</span><span class="s2">&quot;tir.exp&quot;</span><span class="p">,</span> <span class="n">target</span><span class="o">=</span><span class="s2">&quot;cuda&quot;</span><span class="p">,</span> <span class="n">f</span><span class="o">= [...]
 </pre></div>
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-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;function my_cuda_math_rule at 0x7f97525fe670&gt;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;function my_cuda_math_rule at 0x7f2299d63550&gt;
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 </div>
 <p>Register the rule to TVM with override option to override existing rule.
diff --git a/docs/how_to/work_with_schedules/sg_execution_times.html b/docs/how_to/work_with_schedules/sg_execution_times.html
index f2c34ef68b..0e125136b8 100644
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@@ -360,7 +360,7 @@
             
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index 99142684ec..0b352de22d 100644
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@@ -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 [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
 The policy randomly samples programs from the space defined by sketches and use evolutionary
 search to fine-tune them.</p>
@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
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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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section></section>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1026">runtime.ts:1026</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
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 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1016">runtime.ts:1016</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index eff7041f94..857c09fdb4 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -23,7 +23,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
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@@ -62,7 +62,7 @@
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 <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/72ce7013e/web/src/runtime.ts#L410">runtime.ts:410</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L410">runtime.ts:410</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/72ce7013e/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L406">runtime.ts:406</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L404">runtime.ts:404</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/72ce7013e/web/src/runtime.ts#L408">runtime.ts:408</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L408">runtime.ts:408</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/72ce7013e/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -103,7 +103,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L416">runtime.ts:416</a></li></ul></aside></li></ul></section></section></div>
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 <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 a8d88f7546..35f2cc959f 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/72ce7013e/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L342">runtime.ts:342</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/72ce7013e/web/src/runtime.ts#L350">runtime.ts:350</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L350">runtime.ts:350</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L346">runtime.ts:346</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/72ce7013e/web/src/runtime.ts#L344">runtime.ts:344</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L344">runtime.ts:344</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 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L369">runtime.ts:369</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 @@
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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/72ce7013e/web/src/runtime.ts#L376">runtime.ts:376</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L376">runtime.ts:376</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/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index c1c94975e9..b34a1cd6a5 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/72ce7013e/web/src/runtime.ts#L1052">runtime.ts:1052</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1052">runtime.ts:1052</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -140,24 +140,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1081">runtime.ts:1081</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1081">runtime.ts:1081</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/72ce7013e/web/src/runtime.ts#L1055">runtime.ts:1055</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1055">runtime.ts:1055</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/72ce7013e/web/src/runtime.ts#L1054">runtime.ts:1054</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1054">runtime.ts:1054</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/72ce7013e/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1784">runtime.ts:1784</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1785">runtime.ts:1785</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -218,7 +218,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1771">runtime.ts:1771</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -239,7 +239,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1801">runtime.ts:1801</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1802">runtime.ts:1802</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1959">runtime.ts:1959</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -283,7 +283,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -293,7 +293,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -328,7 +328,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -345,7 +345,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1809">runtime.ts:1809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1810">runtime.ts:1810</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -355,7 +355,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1840">runtime.ts:1840</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -372,7 +372,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1669">runtime.ts:1669</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1670">runtime.ts:1670</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -390,7 +390,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -416,7 +416,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1231">runtime.ts:1231</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">
@@ -438,7 +438,7 @@ 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/72ce7013e/web/src/runtime.ts#L1661">runtime.ts:1661</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1662">runtime.ts:1662</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">
@@ -451,7 +451,7 @@ 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/72ce7013e/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -477,7 +477,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The created ndarray.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1689">runtime.ts:1689</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1690">runtime.ts:1690</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -490,7 +490,7 @@ a value to parent scope.</p>
 </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/72ce7013e/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -516,7 +516,7 @@ a value to parent scope.</p>
 <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/72ce7013e/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -534,7 +534,7 @@ a value to parent scope.</p>
 <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/72ce7013e/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -555,7 +555,7 @@ a value to parent scope.</p>
 </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/72ce7013e/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -573,7 +573,7 @@ a value to parent scope.</p>
 <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/72ce7013e/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -590,7 +590,7 @@ a value to parent scope.</p>
 </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/72ce7013e/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L2025">runtime.ts:2025</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -608,7 +608,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The check result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -619,7 +619,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h4><p>The name list.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
 <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/72ce7013e/web/src/runtime.ts#L1874">runtime.ts:1874</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1875">runtime.ts:1875</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -655,7 +655,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1865">runtime.ts:1865</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1866">runtime.ts:1866</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -675,7 +675,7 @@ and needs to b explicitly disposed.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1854">runtime.ts:1854</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>
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@@ -700,7 +700,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -710,7 +710,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -728,7 +728,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -746,7 +746,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1443">runtime.ts:1443</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>
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@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
 <h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -796,7 +796,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1932">runtime.ts:1932</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1933">runtime.ts:1933</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>
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@@ -819,7 +819,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1286">runtime.ts:1286</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1286">runtime.ts:1286</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>
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@@ -836,7 +836,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1399">runtime.ts:1399</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1399">runtime.ts:1399</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>
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@@ -861,7 +861,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1911">runtime.ts:1911</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1912">runtime.ts:1912</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -871,7 +871,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1152">runtime.ts:1152</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1152">runtime.ts:1152</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>
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@@ -897,7 +897,7 @@ 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/72ce7013e/web/src/runtime.ts#L1761">runtime.ts:1761</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1762">runtime.ts:1762</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -919,7 +919,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1651">runtime.ts:1651</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1652">runtime.ts:1652</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -949,7 +949,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L2157">runtime.ts:2157</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L2158">runtime.ts:2158</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -966,7 +966,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1818">runtime.ts:1818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1819">runtime.ts:1819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -978,7 +978,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1240">runtime.ts:1240</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1240">runtime.ts:1240</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -996,7 +996,7 @@ System lib is a global module that contains self register functions in startup.<
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1605">runtime.ts:1605</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1606">runtime.ts:1606</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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@@ -1014,7 +1014,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L1365">runtime.ts:1365</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1365">runtime.ts:1365</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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@@ -1032,7 +1032,7 @@ 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/72ce7013e/web/src/runtime.ts#L1883">runtime.ts:1883</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1884">runtime.ts:1884</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1062,7 +1062,7 @@ 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/a6ab8cb85/web/src/runtime.ts#L1736">runtime.ts:1736</a></li></ul></aside></li></ul></section>
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 <h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1678">runtime.ts:1678</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L1188">runtime.ts:1188</a></li></ul></aside></li></ul></section></section></div>
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diff --git 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/72ce7013e/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L695">runtime.ts:695</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>
@@ -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>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L705">runtime.ts:705</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L705">runtime.ts:705</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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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L733">runtime.ts:733</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
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@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
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@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L767">runtime.ts:767</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
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--- a/docs/reference/api/typedoc/classes/NDArray.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L453">runtime.ts:453</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L453">runtime.ts:453</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L443">runtime.ts:443</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L443">runtime.ts:443</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
 <div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L445">runtime.ts:445</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L445">runtime.ts:445</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L441">runtime.ts:441</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>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L553">runtime.ts:553</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L553">runtime.ts:553</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/72ce7013e/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -165,7 +165,7 @@ only the first call will take effect.</p>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L538">runtime.ts:538</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L538">runtime.ts:538</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/72ce7013e/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -194,7 +194,7 @@ only the first call will take effect.</p>
 <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/72ce7013e/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L663">runtime.ts:663</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L663">runtime.ts:663</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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L508">runtime.ts:508</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index e92490ca07..6529078965 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
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@@ -113,12 +113,12 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="socket" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">socket</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">WebSocket</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 68e1d41429..3c700f6ffc 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/72ce7013e/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L280">runtime.ts:280</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/72ce7013e/web/src/runtime.ts#L286">runtime.ts:286</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L286">runtime.ts:286</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="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/72ce7013e/web/src/runtime.ts#L284">runtime.ts:284</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L284">runtime.ts:284</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
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 <div class="tsd-comment tsd-typography"><p>The value.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L282">runtime.ts:282</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 9993c6c8f4..3f6cb868af 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/72ce7013e/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
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@@ -63,7 +63,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L865">runtime.ts:865</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L865">runtime.ts:865</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 tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L795">runtime.ts:795</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>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L884">runtime.ts:884</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L884">runtime.ts:884</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/72ce7013e/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L810">runtime.ts:810</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>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L876">runtime.ts:876</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L876">runtime.ts:876</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/72ce7013e/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L818">runtime.ts:818</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L838">runtime.ts:838</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 1526a361ef..7ed1780015 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L780">runtime.ts:780</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L780">runtime.ts:780</a></li></ul></aside>
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@@ -65,7 +65,7 @@
 <h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></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/72ce7013e/web/src/runtime.ts#L785">runtime.ts:785</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L785">runtime.ts:785</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/72ce7013e/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L795">runtime.ts:795</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/72ce7013e/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L810">runtime.ts:810</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>
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@@ -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/72ce7013e/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L838">runtime.ts:838</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 2d9f0cc42a..db26b5c771 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/72ce7013e/web/src/runtime.ts#L919">runtime.ts:919</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L919">runtime.ts:919</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">
@@ -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/72ce7013e/web/src/runtime.ts#L926">runtime.ts:926</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L926">runtime.ts:926</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/72ce7013e/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L939">runtime.ts:939</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/72ce7013e/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L954">runtime.ts:954</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L954">runtime.ts:954</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 ebf9904314..7f78b9dad7 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/72ce7013e/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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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/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
 <div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -156,7 +156,7 @@ Allocate new temporary space for bytes.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -199,7 +199,7 @@ No further store function should be called.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="reset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>reset</span><a href="#reset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -240,7 +240,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -285,7 +285,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -300,7 +300,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
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 <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 10be92329c..a099c00d41 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/72ce7013e/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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 62815af158..6bad0963c8 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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 740203e3c6..7792216648 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L44">runtime.ts:44</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 @@
 <h5><span class="tsd-kind-parameter">imports</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></h5></li></ul></div>
 <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/72ce7013e/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L52">runtime.ts:52</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/72ce7013e/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L47">runtime.ts:47</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/72ce7013e/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L46">runtime.ts:46</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L45">runtime.ts:45</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/72ce7013e/web/src/runtime.ts#L48">runtime.ts:48</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L48">runtime.ts:48</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/72ce7013e/web/src/runtime.ts#L78">runtime.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L78">runtime.ts:78</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/72ce7013e/web/src/runtime.ts#L67">runtime.ts:67</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L67">runtime.ts:67</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/72ce7013e/web/src/runtime.ts#L87">runtime.ts:87</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L87">runtime.ts:87</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/72ce7013e/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L98">runtime.ts:98</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/72ce7013e/web/src/runtime.ts#L74">runtime.ts:74</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L74">runtime.ts:74</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 4a64e127f8..cabdf86230 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/72ce7013e/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,19 +70,19 @@
 <h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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 @@
 </div></li></ul></div>
 <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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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">
@@ -230,7 +230,7 @@
 <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/72ce7013e/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/a6ab8cb85/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/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/72ce7013e/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/a6ab8cb85/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/a6ab8cb85/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L299">runtime.ts:299</a></li></ul></aside></li></ul></section></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></li></ul></section></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
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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/72ce7013e/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
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 <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/72ce7013e/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section>
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 <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/72ce7013e/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
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 <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/72ce7013e/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L150">runtime.ts:150</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/72ce7013e/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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">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/72ce7013e/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L159">runtime.ts:159</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/72ce7013e/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L156">runtime.ts:156</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/72ce7013e/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
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 <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/72ce7013e/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L160">runtime.ts:160</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/72ce7013e/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
@@ -219,7 +219,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>the same object.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -227,7 +227,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L212">runtime.ts:212</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L212">runtime.ts:212</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>
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@@ -245,7 +245,7 @@
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -258,7 +258,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -266,7 +266,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -284,7 +284,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index bd94313d87..af28e8351b 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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L890">runtime.ts:890</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/72ce7013e/web/src/runtime.ts#L891">runtime.ts:891</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L891">runtime.ts:891</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/72ce7013e/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L795">runtime.ts:795</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/72ce7013e/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L810">runtime.ts:810</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/72ce7013e/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L902">runtime.ts:902</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/72ce7013e/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L838">runtime.ts:838</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 aad6e0c49d..05310ac7fd 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -25,7 +25,7 @@ Manages all the webgpu resources here.</p>
 <ul class="tsd-hierarchy">
 <li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -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/a6ab8cb85/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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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>
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 <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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/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/a6ab8cb85/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ 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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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>
 </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/72ce7013e/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/a6ab8cb85/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>
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@@ -139,7 +139,7 @@ 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/72ce7013e/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/a6ab8cb85/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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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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>
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@@ -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/72ce7013e/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/a6ab8cb85/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>
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@@ -191,7 +191,7 @@ 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/72ce7013e/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/a6ab8cb85/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>
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@@ -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/72ce7013e/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/a6ab8cb85/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>
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@@ -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/72ce7013e/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/a6ab8cb85/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>
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@@ -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/72ce7013e/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/a6ab8cb85/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>
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@@ -252,7 +252,7 @@ via createComputePipelineAsync</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index cab922aa22..158861ee93 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/72ce7013e/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/a6ab8cb85/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/72ce7013e/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="InitHeaderKey" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="InitServer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>Init<wbr/>Server</span><a href="#InitServer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Init<wbr/>Server</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ReceivePacketBody" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>Receive<wbr/>Packet<wbr/>Body</span><a href="#ReceivePacketBody" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Receive<wbr/>Packet<wbr/>Body</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">5</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ReceivePacketHeader" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">4</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="WaitForCallback" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
index bc8945984b..932ed98951 100644
--- a/docs/reference/api/typedoc/functions/assert.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L2454">runtime.ts:2454</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L2440">runtime.ts:2440</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/a6ab8cb85/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/a6ab8cb85/web/src/artifact_cache.ts#L18">artifact_cache.ts:18</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/artifact_cache.ts#L8">artifact_cache.ts:8</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/artifact_cache.ts#L13">artifact_cache.ts:13</a></li></ul></aside></li></ul></section></section></div>
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index 8e6637bf93..7d5b554afe 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/72ce7013e/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/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/a6ab8cb85/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/a6ab8cb85/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
index cea79d9633..be09865c25 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L968">runtime.ts:968</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
index 96b721db6e..7540e638eb 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="format" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="nbytes" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="records" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section></section></div>
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index b328d46677..e4396d3d80 100644
--- a/docs/reference/api/typedoc/types/InitProgressCallback.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L987">runtime.ts:987</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/PackedFunc.html b/docs/reference/api/typedoc/types/PackedFunc.html
index 326ce8cc37..5a19fe123d 100644
--- a/docs/reference/api/typedoc/types/PackedFunc.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L37">runtime.ts:37</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html b/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L858">runtime.ts:858</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/72ce7013e/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
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--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
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+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.Pointer.html b/docs/reference/api/typedoc/types/_internal_.Pointer.html
index 62bcf2cd72..aaddf65c76 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
index db072b7a3c..97eb2699bb 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a6ab8cb85/web/src/runtime.ts#L861">runtime.ts:861</a></li></ul></aside></div>
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diff --git a/docs/searchindex.js b/docs/searchindex.js
index 159741be7c..e322c6ac63 100644
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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 d9b7dc6d2c..06ea0542a8 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -619,7 +619,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
   warnings.warn(
-yolov3-tiny inference graph built in 26.31s!
+yolov3-tiny inference graph built in 26.74s!
 </pre></div>
 </div>
 </div>
@@ -704,6 +704,7 @@ Download test image</p>
         alu_counter     :           849056
 </pre></div>
 </div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  0.381 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-topic-vta-tutorials-frontend-deploy-detection-py">
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 <p><a class="reference download internal" download="" href="../../../../_downloads/65b9451c8de050d7cd9da2fe5a49acc6/deploy_detection.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_detection.py</span></code></a></p>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index 7e263ec73f..97048e94db 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
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-<p><strong>00:59.031</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:00.381</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
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@@ -369,7 +369,7 @@
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index 344d5e8c69..67c0faaa4b 100644
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@@ -360,7 +360,7 @@
             
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-<p><strong>00:03.224</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.272</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
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diff --git a/docs/topic/vta/tutorials/sg_execution_times.html b/docs/topic/vta/tutorials/sg_execution_times.html
index b7ecd79ac7..ed0d4d6599 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
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diff --git a/docs/tutorial/auto_scheduler_matmul_x86.html b/docs/tutorial/auto_scheduler_matmul_x86.html
index a15451209c..650d27960f 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -592,7 +592,7 @@ class Module:
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 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.599 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 90.137 ms
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 </div>
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@@ -665,7 +665,7 @@ automatically optimize a matrix multiplication, without the need to specify a
 search template.  It ends a series of examples that starts from the Tensor
 Expression (TE) language that demonstrates how TVM can optimize computational
 operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  39.185 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  45.176 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-auto-scheduler-matmul-x86-py">
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 <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 6720561cef..06f3067e9a 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
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-No: 2   GFLOPS: 7.47/8.11       result: MeasureResult(costs=(0.03594912979999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8984124660491943, timestamp=1708705387.40602)  [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 16])],None,46
-No: 3   GFLOPS: 11.02/11.02     result: MeasureResult(costs=(0.024356222,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6921930313110352, timestamp=1708705388.0619438)        [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 128])],None,72
-No: 4   GFLOPS: 2.88/11.02      result: MeasureResult(costs=(0.09332523340000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7557992935180664, timestamp=1708705389.8160553)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 2])],None,14
-No: 5   GFLOPS: 13.31/13.31     result: MeasureResult(costs=(0.0201634292,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6430220603942871, timestamp=1708705390.5712965)       [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 128])],None,77
-No: 6   GFLOPS: 10.52/13.31     result: MeasureResult(costs=(0.025512842599999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6916074752807617, timestamp=1708705391.2389426)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 16])],None,43
-No: 7   GFLOPS: 10.26/13.31     result: MeasureResult(costs=(0.026161014599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.674053430557251, timestamp=1708705391.9281917)        [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 512])],None,99
-No: 8   GFLOPS: 7.05/13.31      result: MeasureResult(costs=(0.038076751799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8770608901977539, timestamp=1708705392.805586)        [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 16])],None,49
-No: 9   GFLOPS: 8.48/13.31      result: MeasureResult(costs=(0.031644193,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7818388938903809, timestamp=1708705393.6986644)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 64])],None,60
-No: 10  GFLOPS: 11.77/13.31     result: MeasureResult(costs=(0.022799952800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.607612133026123, timestamp=1708705394.3227592)        [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 32])],None,57
+No: 1   GFLOPS: 12.97/12.97     result: MeasureResult(costs=(0.0206897024,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6065568923950195, timestamp=1708711204.2834284)       [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 64])],None,68
+No: 2   GFLOPS: 8.85/12.97      result: MeasureResult(costs=(0.030322223400000004,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7664384841918945, timestamp=1708711205.025699)        [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 8])],None,32
+No: 3   GFLOPS: 11.74/12.97     result: MeasureResult(costs=(0.0228620754,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6322653293609619, timestamp=1708711205.654316)        [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 256])],None,81
+No: 4   GFLOPS: 10.41/12.97     result: MeasureResult(costs=(0.025780368600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6807208061218262, timestamp=1708711206.3231006)       [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 64])],None,62
+No: 5   GFLOPS: 7.60/12.97      result: MeasureResult(costs=(0.0353249162,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8130064010620117, timestamp=1708711207.2685528)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 8])],None,30
+No: 6   GFLOPS: 15.72/15.72     result: MeasureResult(costs=(0.0170793576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.541215181350708, timestamp=1708711207.8074367)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 128])],None,74
+No: 7   GFLOPS: 12.14/15.72     result: MeasureResult(costs=(0.02210255,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6154811382293701, timestamp=1708711208.4237812) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 512])],None,97
+No: 8   GFLOPS: 3.76/15.72      result: MeasureResult(costs=(0.07138183940000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.403984785079956, timestamp=1708711209.8256555) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 8])],None,37
+No: 9   GFLOPS: 8.21/15.72      result: MeasureResult(costs=(0.0326766628,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7399241924285889, timestamp=1708711210.6809258)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 8])],None,33
+No: 10  GFLOPS: 1.06/15.72      result: MeasureResult(costs=(0.25376674920000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.292267322540283, timestamp=1708711215.0028558) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 2])],None,17
 </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 c5d8b41494..a4b3b89036 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;: 481.34812769001655, &#39;median&#39;: 481.4714336000179, &#39;std&#39;: 3.101052305308833}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 500.5685418899884, &#39;median&#39;: 501.0803453499648, &#39;std&#39;: 3.744422612045327}
 </pre></div>
 </div>
 </div>
@@ -767,178 +767,179 @@ 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:   15.22/  17.49 GFLOPS | Progress: (4/20) | 9.22 s
-[Task  1/25]  Current/Best:   16.10/  24.67 GFLOPS | Progress: (8/20) | 12.80 s
-[Task  1/25]  Current/Best:   13.20/  24.67 GFLOPS | Progress: (12/20) | 16.48 s
-[Task  1/25]  Current/Best:   10.71/  24.67 GFLOPS | Progress: (16/20) | 18.63 s
-[Task  1/25]  Current/Best:    9.85/  24.67 GFLOPS | Progress: (20/20) | 22.19 s Done.
+[Task  1/25]  Current/Best:   11.63/  12.77 GFLOPS | Progress: (4/20) | 9.58 s
+[Task  1/25]  Current/Best:   12.07/  17.88 GFLOPS | Progress: (8/20) | 12.89 s
+[Task  1/25]  Current/Best:   16.16/  22.63 GFLOPS | Progress: (12/20) | 14.94 s
+[Task  1/25]  Current/Best:    8.10/  22.63 GFLOPS | Progress: (16/20) | 17.72 s
+[Task  1/25]  Current/Best:   22.98/  22.98 GFLOPS | Progress: (20/20) | 19.99 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   20.06/  20.06 GFLOPS | Progress: (4/20) | 4.10 s
-[Task  2/25]  Current/Best:   13.29/  20.06 GFLOPS | Progress: (8/20) | 5.80 s
-[Task  2/25]  Current/Best:    4.88/  20.06 GFLOPS | Progress: (12/20) | 7.55 s
-[Task  2/25]  Current/Best:    8.04/  20.15 GFLOPS | Progress: (16/20) | 9.16 s
-[Task  2/25]  Current/Best:   16.38/  20.15 GFLOPS | Progress: (20/20) | 10.81 s Done.
+[Task  2/25]  Current/Best:   14.55/  17.32 GFLOPS | Progress: (4/20) | 4.10 s
+[Task  2/25]  Current/Best:   12.80/  20.92 GFLOPS | Progress: (8/20) | 6.80 s
+[Task  2/25]  Current/Best:   15.75/  20.92 GFLOPS | Progress: (12/20) | 8.80 s
+[Task  2/25]  Current/Best:   17.76/  20.92 GFLOPS | Progress: (16/20) | 10.21 s
+[Task  2/25]  Current/Best:    6.63/  20.92 GFLOPS | Progress: (20/20) | 12.31 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   20.30/  24.24 GFLOPS | Progress: (4/20) | 4.59 s
-[Task  3/25]  Current/Best:   21.36/  24.24 GFLOPS | Progress: (8/20) | 7.95 s
-[Task  3/25]  Current/Best:   14.33/  24.24 GFLOPS | Progress: (12/20) | 10.42 s
-[Task  3/25]  Current/Best:    9.79/  24.24 GFLOPS | Progress: (16/20) | 13.34 s
-[Task  3/25]  Current/Best:   11.41/  24.24 GFLOPS | Progress: (20/20) | 15.75 s Done.
+[Task  3/25]  Current/Best:   13.50/  21.68 GFLOPS | Progress: (4/20) | 6.03 s
+[Task  3/25]  Current/Best:   14.29/  21.68 GFLOPS | Progress: (8/20) | 8.84 s
+[Task  3/25]  Current/Best:    9.75/  21.68 GFLOPS | Progress: (12/20) | 11.23 s
+[Task  3/25]  Current/Best:   10.03/  21.68 GFLOPS | Progress: (16/20) | 13.38 s
+[Task  3/25]  Current/Best:   17.44/  21.68 GFLOPS | Progress: (20/20) | 15.47 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:    8.10/  16.69 GFLOPS | Progress: (4/20) | 4.64 s
-[Task  4/25]  Current/Best:    9.93/  16.69 GFLOPS | Progress: (8/20) | 11.19 s
-[Task  4/25]  Current/Best:   13.27/  16.69 GFLOPS | Progress: (12/20) | 15.60 s
-[Task  4/25]  Current/Best:   15.41/  16.69 GFLOPS | Progress: (16/20) | 19.78 s
-[Task  4/25]  Current/Best:   10.66/  20.17 GFLOPS | Progress: (20/20) | 25.34 s Done.
+[Task  4/25]  Current/Best:   18.13/  18.13 GFLOPS | Progress: (4/20) | 6.49 s
+[Task  4/25]  Current/Best:   12.61/  18.13 GFLOPS | Progress: (8/20) | 8.39 s
+[Task  4/25]  Current/Best:    6.27/  18.49 GFLOPS | Progress: (12/20) | 14.49 s
+[Task  4/25]  Current/Best:   17.05/  18.49 GFLOPS | Progress: (16/20) | 16.44 s
+[Task  4/25]  Current/Best:    5.91/  19.54 GFLOPS | Progress: (20/20) | 22.61 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:   11.18/  17.95 GFLOPS | Progress: (4/20) | 4.32 s
-[Task  5/25]  Current/Best:   14.47/  17.95 GFLOPS | Progress: (8/20) | 6.39 s
-[Task  5/25]  Current/Best:   17.31/  18.86 GFLOPS | Progress: (12/20) | 8.24 s
-[Task  5/25]  Current/Best:    3.67/  18.86 GFLOPS | Progress: (16/20) | 10.47 s
-[Task  5/25]  Current/Best:   10.90/  18.86 GFLOPS | Progress: (20/20) | 12.30 s Done.
+[Task  5/25]  Current/Best:   20.56/  23.22 GFLOPS | Progress: (4/20) | 4.20 s
+[Task  5/25]  Current/Best:   12.51/  23.22 GFLOPS | Progress: (8/20) | 7.29 s
+[Task  5/25]  Current/Best:   10.62/  23.22 GFLOPS | Progress: (12/20) | 9.64 s
+[Task  5/25]  Current/Best:    8.36/  23.22 GFLOPS | Progress: (16/20) | 11.79 s
+[Task  5/25]  Current/Best:   10.74/  23.22 GFLOPS | Progress: (20/20) | 14.66 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:   15.74/  15.74 GFLOPS | Progress: (4/20) | 6.66 s
-[Task  6/25]  Current/Best:    3.31/  18.08 GFLOPS | Progress: (8/20) | 11.12 s
-[Task  6/25]  Current/Best:   14.69/  23.34 GFLOPS | Progress: (12/20) | 12.89 s
-[Task  6/25]  Current/Best:   18.23/  23.34 GFLOPS | Progress: (16/20) | 15.31 s
-[Task  6/25]  Current/Best:   14.08/  23.34 GFLOPS | Progress: (20/20) | 20.03 s Done.
+[Task  6/25]  Current/Best:    4.14/  13.77 GFLOPS | Progress: (4/20) | 5.67 s
+[Task  6/25]  Current/Best:    5.86/  14.58 GFLOPS | Progress: (8/20) | 8.45 s
+[Task  6/25]  Current/Best:    4.50/  14.58 GFLOPS | Progress: (12/20) | 11.77 s
+[Task  6/25]  Current/Best:   16.77/  16.77 GFLOPS | Progress: (16/20) | 14.88 s
+[Task  6/25]  Current/Best:   14.94/  16.77 GFLOPS | Progress: (20/20) | 17.33 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:   12.15/  19.82 GFLOPS | Progress: (4/20) | 5.08 s
-[Task  7/25]  Current/Best:    3.21/  22.43 GFLOPS | Progress: (8/20) | 8.00 s
-[Task  7/25]  Current/Best:   18.78/  22.43 GFLOPS | Progress: (12/20) | 10.37 s
-[Task  7/25]  Current/Best:   17.06/  22.43 GFLOPS | Progress: (16/20) | 12.88 s
-[Task  7/25]  Current/Best:    6.27/  22.43 GFLOPS | Progress: (20/20) | 15.14 s Done.
+[Task  7/25]  Current/Best:   15.78/  15.78 GFLOPS | Progress: (4/20) | 5.63 s
+[Task  7/25]  Current/Best:   19.57/  19.57 GFLOPS | Progress: (8/20) | 8.63 s
+[Task  7/25]  Current/Best:   18.22/  19.57 GFLOPS | Progress: (12/20) | 11.31 s
+[Task  7/25]  Current/Best:    8.15/  19.57 GFLOPS | Progress: (16/20) | 13.90 s
+[Task  7/25]  Current/Best:   17.38/  19.97 GFLOPS | Progress: (20/20) | 16.09 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:   15.15/  15.15 GFLOPS | Progress: (4/20) | 5.71 s
-[Task  8/25]  Current/Best:    8.68/  15.15 GFLOPS | Progress: (8/20) | 12.41 s
-[Task  8/25]  Current/Best:    9.10/  15.15 GFLOPS | Progress: (12/20) | 16.65 s
-[Task  8/25]  Current/Best:   10.11/  17.22 GFLOPS | Progress: (16/20) | 22.41 s
-[Task  8/25]  Current/Best:   11.89/  17.22 GFLOPS | Progress: (20/20) | 27.54 s Done.
-
+[Task  8/25]  Current/Best:   13.03/  13.48 GFLOPS | Progress: (4/20) | 13.96 s
+[Task  8/25]  Current/Best:   12.19/  21.66 GFLOPS | Progress: (8/20) | 17.31 s
+[Task  8/25]  Current/Best:    3.96/  21.66 GFLOPS | Progress: (12/20) | 24.23 s
+[Task  8/25]  Current/Best:   18.79/  21.66 GFLOPS | Progress: (16/20) | 32.23 s
+[Task  8/25]  Current/Best:    8.49/  21.66 GFLOPS | Progress: (20/20) | 40.80 s
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:   14.43/  20.14 GFLOPS | Progress: (4/20) | 4.69 s
-[Task  9/25]  Current/Best:    9.95/  20.14 GFLOPS | Progress: (8/20) | 9.39 s
-[Task  9/25]  Current/Best:   14.49/  21.65 GFLOPS | Progress: (12/20) | 11.05 s
-[Task  9/25]  Current/Best:   17.22/  21.65 GFLOPS | Progress: (16/20) | 12.64 s
-[Task  9/25]  Current/Best:    6.58/  21.65 GFLOPS | Progress: (20/20) | 14.40 s Done.
+[Task  9/25]  Current/Best:   13.22/  14.56 GFLOPS | Progress: (4/20) | 6.00 s
+[Task  9/25]  Current/Best:   12.73/  17.78 GFLOPS | Progress: (8/20) | 8.26 s
+[Task  9/25]  Current/Best:   12.23/  17.78 GFLOPS | Progress: (12/20) | 11.22 s
+[Task  9/25]  Current/Best:    6.26/  17.78 GFLOPS | Progress: (16/20) | 13.10 s
+[Task  9/25]  Current/Best:    7.09/  17.78 GFLOPS | Progress: (20/20) | 17.45 s Done.
 
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:    7.61/  19.98 GFLOPS | Progress: (4/20) | 4.37 s
-[Task 10/25]  Current/Best:   11.31/  19.98 GFLOPS | Progress: (8/20) | 7.19 s
-[Task 10/25]  Current/Best:   13.48/  22.24 GFLOPS | Progress: (12/20) | 9.57 s
-[Task 10/25]  Current/Best:   12.69/  22.24 GFLOPS | Progress: (16/20) | 11.89 s
-[Task 10/25]  Current/Best:   15.44/  22.24 GFLOPS | Progress: (20/20) | 14.26 s Done.
+[Task 10/25]  Current/Best:    2.62/  17.06 GFLOPS | Progress: (4/20) | 4.90 s
+[Task 10/25]  Current/Best:   14.05/  17.06 GFLOPS | Progress: (8/20) | 8.38 s
+[Task 10/25]  Current/Best:   13.37/  20.28 GFLOPS | Progress: (12/20) | 11.09 s
+[Task 10/25]  Current/Best:   16.64/  20.28 GFLOPS | Progress: (16/20) | 13.05 s
+[Task 10/25]  Current/Best:   15.52/  20.28 GFLOPS | Progress: (20/20) | 15.07 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:    9.87/  24.42 GFLOPS | Progress: (4/20) | 4.66 s
-[Task 11/25]  Current/Best:   19.91/  24.42 GFLOPS | Progress: (8/20) | 6.82 s
-[Task 11/25]  Current/Best:   20.41/  24.42 GFLOPS | Progress: (12/20) | 8.93 s
-[Task 11/25]  Current/Best:    8.78/  24.42 GFLOPS | Progress: (16/20) | 11.60 s
-[Task 11/25]  Current/Best:   12.58/  24.42 GFLOPS | Progress: (20/20) | 14.05 s Done.
+[Task 11/25]  Current/Best:    8.44/  19.51 GFLOPS | Progress: (4/20) | 5.13 s
+[Task 11/25]  Current/Best:   17.36/  19.51 GFLOPS | Progress: (8/20) | 7.49 s
+[Task 11/25]  Current/Best:   10.11/  19.51 GFLOPS | Progress: (12/20) | 9.87 s
+[Task 11/25]  Current/Best:   20.23/  20.23 GFLOPS | Progress: (16/20) | 11.93 s
+[Task 11/25]  Current/Best:   11.93/  20.23 GFLOPS | Progress: (20/20) | 14.64 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   15.45/  15.45 GFLOPS | Progress: (4/20) | 7.18 s
-[Task 12/25]  Current/Best:   10.32/  15.45 GFLOPS | Progress: (8/20) | 12.37 s
-[Task 12/25]  Current/Best:   14.26/  18.99 GFLOPS | Progress: (12/20) | 14.68 s
-[Task 12/25]  Current/Best:    6.46/  18.99 GFLOPS | Progress: (16/20) | 18.47 s
-[Task 12/25]  Current/Best:   18.46/  18.99 GFLOPS | Progress: (20/20) | 23.10 s Done.
+[Task 12/25]  Current/Best:   14.73/  17.85 GFLOPS | Progress: (4/20) | 4.79 s
+[Task 12/25]  Current/Best:   12.64/  22.15 GFLOPS | Progress: (8/20) | 6.70 s
+[Task 12/25]  Current/Best:   14.97/  22.15 GFLOPS | Progress: (12/20) | 14.47 s
+[Task 12/25]  Current/Best:   14.04/  22.15 GFLOPS | Progress: (16/20) | 17.25 s
+[Task 12/25]  Current/Best:    6.83/  22.15 GFLOPS | Progress: (20/20) | 19.85 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   22.60/  22.60 GFLOPS | Progress: (4/20) | 4.88 s
-[Task 13/25]  Current/Best:    9.89/  22.60 GFLOPS | Progress: (8/20) | 7.48 s
-[Task 13/25]  Current/Best:    3.21/  22.60 GFLOPS | Progress: (12/20) | 12.03 s
-[Task 13/25]  Current/Best:   16.64/  22.60 GFLOPS | Progress: (16/20) | 15.64 s
-[Task 13/25]  Current/Best:    6.18/  22.60 GFLOPS | Progress: (20/20) | 19.27 s Done.
+[Task 13/25]  Current/Best:   18.96/  18.96 GFLOPS | Progress: (4/20) | 5.20 s
+[Task 13/25]  Current/Best:   19.57/  19.57 GFLOPS | Progress: (8/20) | 8.82 s
+[Task 13/25]  Current/Best:   11.39/  19.57 GFLOPS | Progress: (12/20) | 13.73 s
+[Task 13/25]  Current/Best:   18.74/  19.57 GFLOPS | Progress: (16/20) | 16.29 s
+[Task 13/25]  Current/Best:   12.57/  19.81 GFLOPS | Progress: (20/20) | 19.19 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:   15.16/  15.16 GFLOPS | Progress: (4/20) | 5.05 s
-[Task 14/25]  Current/Best:   14.13/  18.21 GFLOPS | Progress: (8/20) | 16.56 s
-[Task 14/25]  Current/Best:    3.94/  19.59 GFLOPS | Progress: (12/20) | 23.40 s
-[Task 14/25]  Current/Best:    5.98/  19.59 GFLOPS | Progress: (16/20) | 28.37 s
-[Task 14/25]  Current/Best:    6.93/  19.59 GFLOPS | Progress: (20/20) | 36.61 s
+[Task 14/25]  Current/Best:   11.12/  13.15 GFLOPS | Progress: (4/20) | 6.41 s
+[Task 14/25]  Current/Best:   16.36/  16.36 GFLOPS | Progress: (8/20) | 9.81 s
+[Task 14/25]  Current/Best:    6.05/  16.36 GFLOPS | Progress: (12/20) | 15.55 s
+[Task 14/25]  Current/Best:   13.17/  16.36 GFLOPS | Progress: (16/20) | 22.33 s
+[Task 14/25]  Current/Best:   14.50/  16.36 GFLOPS | Progress: (20/20) | 25.23 s Done.
+
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:    3.25/  18.52 GFLOPS | Progress: (4/20) | 10.26 s
-[Task 15/25]  Current/Best:    9.73/  18.52 GFLOPS | Progress: (8/20) | 13.70 s
-[Task 15/25]  Current/Best:    8.93/  19.36 GFLOPS | Progress: (12/20) | 20.62 s
-[Task 15/25]  Current/Best:   13.74/  19.36 GFLOPS | Progress: (16/20) | 23.38 s
-[Task 15/25]  Current/Best:   14.61/  19.36 GFLOPS | Progress: (20/20) | 28.08 s Done.
-
-[Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   13.83/  18.85 GFLOPS | Progress: (4/20) | 4.55 s
-[Task 16/25]  Current/Best:   14.44/  19.03 GFLOPS | Progress: (8/20) | 6.71 s
-[Task 16/25]  Current/Best:    4.11/  19.03 GFLOPS | Progress: (12/20) | 10.03 s
-[Task 16/25]  Current/Best:   18.17/  19.03 GFLOPS | Progress: (16/20) | 11.71 s
-[Task 16/25]  Current/Best:    6.17/  22.67 GFLOPS | Progress: (20/20) | 13.37 s Done.
+[Task 15/25]  Current/Best:   11.52/  17.77 GFLOPS | Progress: (4/20) | 6.85 s
+[Task 15/25]  Current/Best:   15.04/  17.77 GFLOPS | Progress: (8/20) | 9.26 s
+[Task 15/25]  Current/Best:   13.84/  18.63 GFLOPS | Progress: (12/20) | 20.30 s
+[Task 15/25]  Current/Best:    9.92/  20.96 GFLOPS | Progress: (16/20) | 31.45 s
+[Task 15/25]  Current/Best:    6.63/  21.25 GFLOPS | Progress: (20/20) | 41.20 s
+[Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+
+[Task 16/25]  Current/Best:    5.48/  15.76 GFLOPS | Progress: (4/20) | 4.90 s
+[Task 16/25]  Current/Best:   11.94/  15.76 GFLOPS | Progress: (8/20) | 6.71 s
+[Task 16/25]  Current/Best:   14.87/  18.60 GFLOPS | Progress: (12/20) | 8.29 s
+[Task 16/25]  Current/Best:   14.50/  22.43 GFLOPS | Progress: (16/20) | 11.44 s
+[Task 16/25]  Current/Best:    9.61/  22.43 GFLOPS | Progress: (20/20) | 14.03 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:   17.47/  24.15 GFLOPS | Progress: (4/20) | 4.66 s
-[Task 17/25]  Current/Best:   20.84/  24.15 GFLOPS | Progress: (8/20) | 7.66 s
-[Task 17/25]  Current/Best:   23.13/  24.15 GFLOPS | Progress: (12/20) | 9.69 s
-[Task 17/25]  Current/Best:    6.35/  24.15 GFLOPS | Progress: (16/20) | 12.51 s
-[Task 17/25]  Current/Best:   12.61/  24.15 GFLOPS | Progress: (20/20) | 14.77 s Done.
+[Task 17/25]  Current/Best:    7.39/  19.88 GFLOPS | Progress: (4/20) | 6.57 s
+[Task 17/25]  Current/Best:    9.39/  23.01 GFLOPS | Progress: (8/20) | 9.74 s
+[Task 17/25]  Current/Best:   19.63/  23.01 GFLOPS | Progress: (12/20) | 11.86 s
+[Task 17/25]  Current/Best:    5.34/  23.01 GFLOPS | Progress: (16/20) | 14.37 s
+[Task 17/25]  Current/Best:   11.98/  23.01 GFLOPS | Progress: (20/20) | 17.31 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:   12.63/  18.40 GFLOPS | Progress: (4/20) | 8.63 s
-[Task 18/25]  Current/Best:   12.88/  20.05 GFLOPS | Progress: (8/20) | 11.32 s
-[Task 18/25]  Current/Best:   16.96/  20.05 GFLOPS | Progress: (12/20) | 14.67 s
-[Task 18/25]  Current/Best:    5.56/  20.05 GFLOPS | Progress: (16/20) | 18.18 s
-[Task 18/25]  Current/Best:   15.14/  20.05 GFLOPS | Progress: (20/20) | 21.11 s Done.
+[Task 18/25]  Current/Best:    5.88/  18.64 GFLOPS | Progress: (4/20) | 5.42 s
+[Task 18/25]  Current/Best:   12.54/  18.64 GFLOPS | Progress: (8/20) | 11.48 s
+[Task 18/25]  Current/Best:   11.23/  18.64 GFLOPS | Progress: (12/20) | 14.15 s
+[Task 18/25]  Current/Best:   13.56/  18.84 GFLOPS | Progress: (16/20) | 17.67 s
+[Task 18/25]  Current/Best:   10.14/  18.84 GFLOPS | Progress: (20/20) | 23.37 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    8.99/  21.29 GFLOPS | Progress: (4/20) | 5.55 s
-[Task 19/25]  Current/Best:   13.70/  22.26 GFLOPS | Progress: (8/20) | 8.26 s
-[Task 19/25]  Current/Best:    9.53/  22.26 GFLOPS | Progress: (12/20) | 11.93 s
-[Task 19/25]  Current/Best:    5.49/  23.01 GFLOPS | Progress: (16/20) | 16.48 s
-[Task 19/25]  Current/Best:    1.60/  23.01 GFLOPS | Progress: (20/20) | 20.83 s Done.
+[Task 19/25]  Current/Best:   10.74/  12.01 GFLOPS | Progress: (4/20) | 6.44 s
+[Task 19/25]  Current/Best:   10.45/  22.30 GFLOPS | Progress: (8/20) | 10.25 s
+[Task 19/25]  Current/Best:   17.07/  22.30 GFLOPS | Progress: (12/20) | 13.04 s
+[Task 19/25]  Current/Best:    9.71/  22.30 GFLOPS | Progress: (16/20) | 17.72 s
+[Task 19/25]  Current/Best:    7.96/  22.30 GFLOPS | Progress: (20/20) | 20.94 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:    9.54/  19.10 GFLOPS | Progress: (4/20) | 11.34 s
-[Task 20/25]  Current/Best:   15.17/  19.10 GFLOPS | Progress: (8/20) | 14.26 s
-[Task 20/25]  Current/Best:   14.52/  20.92 GFLOPS | Progress: (12/20) | 16.60 s
-[Task 20/25]  Current/Best:   10.17/  20.92 GFLOPS | Progress: (16/20) | 20.84 s
-[Task 20/25]  Current/Best:    5.77/  21.30 GFLOPS | Progress: (20/20) | 27.33 s Done.
+[Task 20/25]  Current/Best:   16.77/  18.79 GFLOPS | Progress: (4/20) | 5.11 s
+[Task 20/25]  Current/Best:    4.64/  18.79 GFLOPS | Progress: (8/20) | 10.40 s
+[Task 20/25]  Current/Best:   11.85/  18.79 GFLOPS | Progress: (12/20) | 14.92 s
+[Task 20/25]  Current/Best:   11.91/  18.79 GFLOPS | Progress: (16/20) | 18.06 s
+[Task 20/25]  Current/Best:    6.69/  18.79 GFLOPS | Progress: (20/20) | 20.77 s Done.
 
 [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25]  Current/Best:   16.13/  21.62 GFLOPS | Progress: (4/20) | 4.80 s
-[Task 21/25]  Current/Best:   19.79/  21.62 GFLOPS | Progress: (8/20) | 16.13 s
-[Task 21/25]  Current/Best:   10.14/  21.62 GFLOPS | Progress: (12/20) | 27.47 s
-[Task 21/25]  Current/Best:   14.35/  21.62 GFLOPS | Progress: (16/20) | 33.10 s
-[Task 21/25]  Current/Best:   11.10/  21.67 GFLOPS | Progress: (20/20) | 34.77 s
-[Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
- Done.
-
-[Task 22/25]  Current/Best:   12.46/  20.10 GFLOPS | Progress: (4/20) | 5.01 s
-[Task 22/25]  Current/Best:   20.57/  20.57 GFLOPS | Progress: (8/20) | 9.59 s
-[Task 22/25]  Current/Best:    7.62/  20.57 GFLOPS | Progress: (12/20) | 13.14 s
-[Task 22/25]  Current/Best:    9.96/  20.57 GFLOPS | Progress: (16/20) | 14.95 s
-[Task 22/25]  Current/Best:   10.71/  20.57 GFLOPS | Progress: (20/20) | 16.72 s Done.
+[Task 21/25]  Current/Best:    8.65/  12.67 GFLOPS | Progress: (4/20) | 13.44 s
+[Task 21/25]  Current/Best:   21.42/  21.42 GFLOPS | Progress: (8/20) | 23.34 s
+[Task 21/25]  Current/Best:    9.69/  21.65 GFLOPS | Progress: (12/20) | 25.77 s
+[Task 21/25]  Current/Best:    2.82/  23.48 GFLOPS | Progress: (16/20) | 32.56 s
+[Task 21/25]  Current/Best:    7.86/  23.48 GFLOPS | Progress: (20/20) | 43.79 s
+[Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 22/25]  Current/Best:    2.79/  15.30 GFLOPS | Progress: (4/20) | 5.60 s
+[Task 22/25]  Current/Best:   10.32/  19.07 GFLOPS | Progress: (8/20) | 7.56 s
+[Task 22/25]  Current/Best:   18.67/  20.59 GFLOPS | Progress: (12/20) | 10.40 s
+[Task 22/25]  Current/Best:    6.35/  20.59 GFLOPS | Progress: (16/20) | 12.75 s
+[Task 22/25]  Current/Best:   18.13/  20.59 GFLOPS | Progress: (20/20) | 15.21 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   20.10/  20.10 GFLOPS | Progress: (4/20) | 6.16 s
-[Task 23/25]  Current/Best:   22.00/  23.63 GFLOPS | Progress: (8/20) | 9.83 s
-[Task 23/25]  Current/Best:    3.18/  23.63 GFLOPS | Progress: (12/20) | 13.13 s
-[Task 23/25]  Current/Best:   11.96/  23.63 GFLOPS | Progress: (16/20) | 16.43 s
-[Task 23/25]  Current/Best:    6.38/  23.63 GFLOPS | Progress: (20/20) | 22.05 s Done.
+[Task 23/25]  Current/Best:   14.60/  22.57 GFLOPS | Progress: (4/20) | 5.49 s
+[Task 23/25]  Current/Best:   17.89/  22.57 GFLOPS | Progress: (8/20) | 11.17 s
+[Task 23/25]  Current/Best:   22.07/  22.57 GFLOPS | Progress: (12/20) | 14.11 s
+[Task 23/25]  Current/Best:   10.67/  22.57 GFLOPS | Progress: (16/20) | 17.51 s
+[Task 23/25]  Current/Best:    5.48/  22.57 GFLOPS | Progress: (20/20) | 20.55 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    2.47/  10.07 GFLOPS | Progress: (4/20) | 7.46 s
-[Task 24/25]  Current/Best:    3.87/  10.07 GFLOPS | Progress: (8/20) | 12.68 s
-[Task 24/25]  Current/Best:    0.00/  10.07 GFLOPS | Progress: (12/20) | 22.78 s
-[Task 24/25]  Current/Best:    5.47/  10.11 GFLOPS | Progress: (16/20) | 35.60 s
-[Task 24/25]  Current/Best:    3.86/  10.11 GFLOPS | Progress: (20/20) | 41.53 s
-[Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    6.47/   7.92 GFLOPS | Progress: (4/20) | 13.51 s
-[Task 25/25]  Current/Best:    3.10/   9.22 GFLOPS | Progress: (8/20) | 24.51 s
-[Task 25/25]  Current/Best:    5.50/   9.22 GFLOPS | Progress: (12/20) | 27.67 s
-[Task 25/25]  Current/Best:    1.60/   9.22 GFLOPS | Progress: (16/20) | 33.78 s
-[Task 25/25]  Current/Best:    2.70/   9.22 GFLOPS | Progress: (20/20) | 44.76 s
+[Task 24/25]  Current/Best:    2.32/   5.71 GFLOPS | Progress: (4/20) | 13.52 s
+[Task 24/25]  Current/Best:    3.20/   5.71 GFLOPS | Progress: (8/20) | 24.24 s
+[Task 24/25]  Current/Best:    0.87/   5.71 GFLOPS | Progress: (12/20) | 35.32 s
+[Task 24/25]  Current/Best:    4.19/   6.13 GFLOPS | Progress: (16/20) | 46.29 s
+[Task 24/25]  Current/Best:   10.78/  10.78 GFLOPS | Progress: (20/20) | 56.55 s
+[Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+
+[Task 25/25]  Current/Best:    6.36/   7.78 GFLOPS | Progress: (4/20) | 9.53 s
+[Task 25/25]  Current/Best:    2.78/   7.78 GFLOPS | Progress: (8/20) | 12.70 s
+[Task 25/25]  Current/Best:    7.74/   9.42 GFLOPS | Progress: (12/20) | 23.64 s
+[Task 25/25]  Current/Best:    7.49/   9.42 GFLOPS | Progress: (16/20) | 34.66 s
+[Task 25/25]  Current/Best:    5.69/   9.42 GFLOPS | Progress: (20/20) | 37.59 s
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -986,7 +987,6 @@ model using optimized operators to speed up our computations.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>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=0.621104
+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;: 402.50643606000267, &#39;median&#39;: 402.0000162499855, &#39;std&#39;: 2.156314005981635}
-unoptimized: {&#39;mean&#39;: 481.34812769001655, &#39;median&#39;: 481.4714336000179, &#39;std&#39;: 3.101052305308833}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 392.7310230400326, &#39;median&#39;: 392.38115795005797, &#39;std&#39;: 2.756350245201662}
+unoptimized: {&#39;mean&#39;: 500.5685418899884, &#39;median&#39;: 501.0803453499648, &#39;std&#39;: 3.744422612045327}
 </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  23.010 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  50.784 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 c5d0dc37f9..e0b33df781 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>1.168e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.191e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index 1dc8b4afd4..8a27a260f6 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, 0x15aa8240)), stage(b, placeholder(b, 0x14e81070)), 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, 0x2e5d7f30)), stage(b, placeholder(b, 0x169d9ad0)), 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 3aba242b9a..f8fea0b119 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>16:59.630</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>17:36.619</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,46 +369,46 @@
 </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>13:23.010</p></td>
+<td><p>13:50.784</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>01:39.185</p></td>
+<td><p>01:45.176</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tensor_expr_get_started.html#sphx-glr-tutorial-tensor-expr-get-started-py"><span class="std std-ref">Working with Operators Using Tensor Expression</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_expr_get_started.py</span></code>)</p></td>
-<td><p>00:58.129</p></td>
+<td><p>00:59.516</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>00:42.682</p></td>
+<td><p>00:41.974</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_matmul_x86.html#sphx-glr-tutorial-autotvm-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Schedule Templates and AutoTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:14.644</p></td>
+<td><p>00:17.222</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.894</p></td>
+<td><p>00:00.893</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:00.872</p></td>
+<td><p>00:00.846</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>00:00.214</p></td>
+<td><p>00:00.207</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>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index b623635774..73fabdd7d8 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -569,8 +569,8 @@ helper function to run a profile of the TVM generated code.</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;naive&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" ti [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000007
-naive: 0.000008
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000006
+naive: 0.000006
 </pre></div>
 </div>
 </div>
@@ -625,7 +625,7 @@ compile and run this new schedule with the parallel operation applied:</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;parallel&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.h [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000007
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000006
 </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: 0.000040
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
 # 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    6.846369997219881e-06                    1.0
-   naive              7.7197e-06      1.1275610291489875
-parallel              6.9021e-06      1.0081400804810068
-  vector             3.96864e-05       5.796706870372991
+   numpy    6.403580009646248e-06                    1.0
+   naive                5.83e-06       0.910428227837832
+parallel              6.0997e-06      0.9525452935407245
+  vector             3.78053e-05         5.9037756915742
 </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: 0.019189
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.015759
 </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: 3.272752
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.418535
 </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: 0.294607
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.297310
 </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: 0.270536
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.279397
 # 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: 0.111096
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.113207
 # 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: 0.101982
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.101588
 # 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: 0.107330
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.097111
 # 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: 0.127269
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.115826
 # 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            3.2727516867                     1.0
-        blocking            0.2946068223     0.09001807973921165
-   vectorization            0.2705356548     0.08266305564807092
-loop permutation            0.1110957824      0.0339456802822767
-   array packing            0.1019821939    0.031160993458330864
-   block caching     0.10733010440000001     0.03279506503233178
- parallelization            0.1272692957     0.03888755025845817
+            none             3.418535093                     1.0
+        blocking            0.2973095805     0.08696987815301038
+   vectorization             0.279396823     0.08172998532971328
+loop permutation     0.11320676249999999    0.033115577117171925
+   array packing            0.1015876327    0.029716714889958862
+   block caching            0.0971110519    0.028407212229252958
+ parallelization            0.1158260511     0.03388177916826785
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a