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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/03/29 07:45:30 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@cb31cb3e4f06f4752df35ea3f0eb233634afc931)

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 a37ecddcec deploying docs (apache/tvm@cb31cb3e4f06f4752df35ea3f0eb233634afc931)
a37ecddcec is described below

commit a37ecddcec768a934e1e325f0909db12be0e50fa
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Fri Mar 29 07:45:23 2024 +0000

    deploying docs (apache/tvm@cb31cb3e4f06f4752df35ea3f0eb233634afc931)
---
 .../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     |  10 +-
 .../how_to/work_with_schedules/intrin_math.rst.txt |   2 +-
 .../work_with_schedules/sg_execution_times.rst.txt |  18 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   2 +-
 .../tutorials/frontend/sg_execution_times.rst.txt  |   4 +-
 .../tutorials/optimize/sg_execution_times.rst.txt  |   6 +-
 .../topic/vta/tutorials/sg_execution_times.rst.txt |   6 +-
 .../tutorial/auto_scheduler_matmul_x86.rst.txt     |   4 +-
 docs/_sources/tutorial/autotvm_matmul_x86.rst.txt  |  20 +-
 docs/_sources/tutorial/autotvm_relay_x86.rst.txt   |  63 ++---
 .../tutorial/cross_compilation_and_rpc.rst.txt     |   2 +-
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  24 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  44 ++--
 docs/commit_hash                                   |   2 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  16 +-
 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 |  20 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  42 ++--
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  61 ++---
 docs/how_to/deploy_models/deploy_prequantized.html |  10 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  28 +--
 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  |   5 +-
 docs/how_to/work_with_microtvm/micro_train.html    |  16 +-
 .../work_with_microtvm/sg_execution_times.html     |  14 +-
 .../how_to/work_with_relay/sg_execution_times.html |  10 +-
 docs/how_to/work_with_schedules/intrin_math.html   |   2 +-
 .../work_with_schedules/sg_execution_times.html    |  24 +-
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |  12 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 114 ++++-----
 .../classes/LinearCongruentialGenerator.html       |  16 +-
 docs/reference/api/typedoc/classes/Module.html     |  12 +-
 docs/reference/api/typedoc/classes/NDArray.html    |  30 +--
 docs/reference/api/typedoc/classes/RPCServer.html  |  16 +-
 docs/reference/api/typedoc/classes/Scalar.html     |   8 +-
 docs/reference/api/typedoc/classes/TVMArray.html   |  16 +-
 docs/reference/api/typedoc/classes/TVMObject.html  |  12 +-
 .../api/typedoc/classes/VirtualMachine.html        |  10 +-
 .../classes/_internal_.AsyncifyHandler.html        |  12 +-
 .../classes/_internal_.CachedCallStack.html        |  36 +--
 .../classes/_internal_.CanvasRenderManager.html    |  10 +-
 .../typedoc/classes/_internal_.Environment.html    |  14 +-
 .../api/typedoc/classes/_internal_.FFILibrary.html |  22 +-
 .../api/typedoc/classes/_internal_.Memory.html     |  36 +--
 .../typedoc/classes/_internal_.PackedFuncCell.html |   8 +-
 .../typedoc/classes/_internal_.RuntimeContext.html |  56 ++---
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +--
 .../enums/_internal_.AsyncifyStateKind.html        |   8 +-
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/deleteNDArrayCache.html  |   2 +-
 .../api/typedoc/functions/detectGPUDevice.html     |   2 +-
 .../api/typedoc/functions/hasNDArrayInCache.html   |   2 +-
 .../api/typedoc/functions/instantiate.html         |   2 +-
 docs/reference/api/typedoc/functions/wasmPath.html |   2 +-
 .../api/typedoc/interfaces/Disposable.html         |   4 +-
 .../typedoc/interfaces/GPUDeviceDetectOutput.html  |   8 +-
 .../api/typedoc/interfaces/InitProgressReport.html |  10 +-
 .../api/typedoc/interfaces/LibraryProvider.html    |   6 +-
 .../_internal_.ArtifactCacheTemplate.html          |  10 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.html   |   2 +-
 .../typedoc/types/_internal_.AsyncPackedFunc.html  |   2 +-
 .../types/_internal_.FObjectConstructor.html       |   2 +-
 .../types/_internal_.FTVMWasmAllocSpace.html       |   2 +-
 .../types/_internal_.FTVMWasmFreeSpace.html        |   2 +-
 .../types/_internal_.FTVMWasmPackedCFunc.html      |   2 +-
 .../api/typedoc/types/_internal_.Pointer.html      |   2 +-
 .../typedoc/types/_internal_.TVMObjectBase.html    |   2 +-
 docs/searchindex.js                                |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   2 +-
 .../vta/tutorials/frontend/sg_execution_times.html |   4 +-
 .../vta/tutorials/optimize/sg_execution_times.html |   6 +-
 docs/topic/vta/tutorials/sg_execution_times.html   |   6 +-
 docs/tutorial/auto_scheduler_matmul_x86.html       |   4 +-
 docs/tutorial/autotvm_matmul_x86.html              |  20 +-
 docs/tutorial/autotvm_relay_x86.html               | 268 +++++++++++----------
 docs/tutorial/cross_compilation_and_rpc.html       |   2 +-
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  30 +--
 docs/tutorial/tensor_expr_get_started.html         |  44 ++--
 137 files changed, 908 insertions(+), 909 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 151c29cfe6..6d8e960cc8 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  33.400 seconds)
+   **Total running time of the script:** ( 1 minutes  33.257 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 9d8c8c5af1..6ffc2204b9 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ Load a pretrained OneFlow model and save model
  .. code-block:: none
 
     Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 39.8MB/s]      24%|##4       | 10.1M/41.5M [00:00<00:00, 34.0MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:00, 34.7MB/s]      42%|####2     | 17.6M/41.5M [00:00<00:00, 25.1MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 26.8MB/s]      77%|#######7  | 32.0M/41.5M [00:01<00:00, 34.2MB/s]      92%|#########2| 38.3M/41.5M [00:01<00:00, 34.8MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 32.6MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 49.9MB/s]      27%|##6       | 11.1M/41.5M [00:00<00:00, 45.2MB/s]      39%|###8      | 16.0M/41.5M [00:00<00:00, 35.8MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 44.4MB/s]      65%|######4   | 26.9M/41.5M [00:00<00:00, 41.1MB/s]      81%|########  | 33.6M/41.5M [00:00<00:00, 49.1MB/s]      93%|#########2| 38.6M/41.5M [00:00<00:00, 45.8MB/s]     100%|##########| 41.5M/41.5M [00:00<00:00, 45.1MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 8df75c9e33..564354e776 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,6 +207,11 @@ Look up prediction top 1 index in 1000 class synset.
 
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 1 minutes  0.747 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 39ca1b9313..d48af90fb7 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
-       0%|          | 0.00/44.7M [00:00<?, ?B/s]      14%|#4        | 6.30M/44.7M [00:00<00:01, 39.7MB/s]      23%|##2       | 10.1M/44.7M [00:00<00:00, 36.9MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 31.4MB/s]      43%|####2     | 19.1M/44.7M [00:00<00:00, 29.0MB/s]      60%|######    | 26.8M/44.7M [00:00<00:00, 42.5MB/s]      72%|#######1  | 32.0M/44.7M [00:00<00:00, 33.5MB/s]      90%|########9 | 40.0M/44.7M [00:01<00:00, 40.6MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 40.2MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      18%|#7        | 7.99M/44.7M [00:00<00:01, 31.6MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 41.0MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 48.9MB/s]      72%|#######1  | 32.0M/44.7M [00:00<00:00, 56.9MB/s]      90%|########9 | 40.0M/44.7M [00:00<00:00, 62.2MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 58.8MB/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 265b97f5ed..e78860ad88 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  29.397 seconds)
+   **Total running time of the script:** ( 1 minutes  30.904 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 3e9db3ec0c..7be92af026 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
 =================
-**06:32.270** total execution time for **how_to_compile_models** files:
+**06:34.388** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:33.400 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:33.257 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.397 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:30.904 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:59.415 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:00.747 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:42.372 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:42.978 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:37.862 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:38.216 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:27.757 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:28.103 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:26.712 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.884 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.592 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:11.431 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.764 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.868 | 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 49c5fc7316..200209e049 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)  
-     3994.8040    3994.7232    3998.6303    3991.1620      2.2297                  
+     4124.5873    4124.9625    4128.7009    4120.1348      2.7887                  
 
 
 
@@ -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  17.603 seconds)
+   **Total running time of the script:** ( 1 minutes  19.419 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 a6a109caae..1841b48bc1 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       9494528/102967424 [=>............................] - ETA: 0s      10575872/102967424 [==>...........................] - ETA: 1s      13828096/102967424 [===>..........................] - ETA: 1s      16482304/102967424 [===>..........................] - ETA: 1s      18767872/102967424 [====>.........................] - ETA: 1s      25157632/102967424 [======>.......................] - ETA: 1s      33546240/102967424 [========>.....................] - ETA: 1s
       38912000/102967424 [==========>...................] - ETA: 1s      41934848/102967424 [===========>..................] - ETA: 1s      48578560/102967424 [=============>................] - ETA: 0s      50323456/102967424 [=============>................] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      81395712/102967424 [======================>.......] -
  ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      87212032/102967424 [========================>.....] - ETA: 0s      95526912/102967424 [==========================>...] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 2s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       7225344/102967424 [=>............................] - ETA: 0s      12296192/102967424 [==>...........................] - ETA: 0s      17063936/102967424 [===>..........................] - ETA: 0s      22372352/102967424 [=====>........................] - ETA: 0s      27353088/102967424 [======>.......................] - ETA: 0s      32325632/102967424 [========>.....................] - ETA: 0s      33628160/102967424 [========>.....................] - ETA: 0s
       41951232/102967424 [===========>..................] - ETA: 0s      47448064/102967424 [============>.................] - ETA: 0s      52453376/102967424 [==============>...............] - ETA: 0s      57425920/102967424 [===============>..............] - ETA: 0s      62496768/102967424 [=================>............] - ETA: 0s      67149824/102967424 [==================>...........] - ETA: 0s      72540160/102967424 [====================>.........] - ETA: 0s      77619200/102967424 [=====================>........] -
  ETA: 0s      82657280/102967424 [=======================>......] - ETA: 0s      86212608/102967424 [========================>.....] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s      97714176/102967424 [===========================>..] - ETA: 0s     100950016/102967424 [============================>.] - 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 4db783e6e4..4021076238 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      14.1934      14.0274      14.8055      13.7444       0.3859                  
+      15.2222      15.2214      16.0003      14.8747       0.3031                  
 
 
 
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 98a31ed143..40b13c7fb1 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-       0%|          | 0.00/170M [00:00<?, ?B/s]       5%|4         | 7.99M/170M [00:00<00:04, 40.0MB/s]       8%|8         | 14.3M/170M [00:00<00:04, 40.7MB/s]      11%|#         | 18.2M/170M [00:00<00:04, 38.4MB/s]      13%|#3        | 22.3M/170M [00:00<00:04, 33.8MB/s]      15%|#5        | 25.5M/170M [00:00<00:05, 30.1MB/s]      18%|#7        | 30.3M/170M [00:01<00:05, 26.6MB/s]      19%|#9        | 32.9M/170M [00:01<00:06, 21.3MB/s]      24%|##3       | 40.0M/170M [00:01<00:04, 29.9MB/s]      27%|##7       | 46.3M/170M [00:01<00:03, 35.1MB/s]      29%|##9       | 50.0M/170M [00:01<00:04, 27.3MB/s]      33%|###2      | 56.0M/170M [00:01<00:03, 31.6MB/s]      37%|###6      | 62.3M/170M [00:02<00:03, 36.2MB/s]      39%|###8      | 66.1M/170M [00:02<00:03, 32.5MB/s]      42%|####2     | 72.0M/170M [00:02<00:02, 37.6MB/s]      46%|####6     | 78.3M/170M [00:02<00:03, 26.3MB/s]      48%|####7     | 81.5M/170M [00:02<00:03, 25.2MB/s]      51%|#####     | 86.3M/170M [00:03<00:03, 26.6MB/
 s]      53%|#####2    | 89.2M/170M [00:03<00:03, 24.8MB/s]      56%|#####5    | 94.3M/170M [00:03<00:02, 28.9MB/s]      57%|#####7    | 97.3M/170M [00:03<00:02, 27.3MB/s]      60%|######    | 102M/170M [00:03<00:02, 30.4MB/s]       62%|######2   | 105M/170M [00:03<00:02, 27.1MB/s]      66%|######5   | 112M/170M [00:03<00:01, 32.5MB/s]      71%|#######   | 120M/170M [00:04<00:01, 38.3MB/s]      74%|#######4  | 126M/170M [00:04<00:01, 41.6MB/s]      77%|#######6  | 130M/170M [00:04<00:01, 38.7MB/s]      79%|#######9  | 135M/170M [00:04<00:00, 41.0MB/s]      82%|########1 | 139M/170M [00:04<00:00, 37.0MB/s]      85%|########4 | 144M/170M [00:04<00:00, 38.8MB/s]      88%|########8 | 150M/170M [00:04<00:00, 40.1MB/s]      91%|######### | 154M/170M [00:04<00:00, 38.8MB/s]      93%|#########3| 158M/170M [00:05<00:00, 37.5MB/s]      95%|#########5| 162M/170M [00:05<00:00, 32.8MB/s]      98%|#########7| 166M/170M [00:05<00:00, 32.7MB/s]     100%|##########| 170M/170M [00:05<00:00, 32.7MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       5%|4         | 7.99M/170M [00:00<00:03, 43.0MB/s]       9%|9         | 16.0M/170M [00:00<00:03, 50.0MB/s]      14%|#4        | 24.0M/170M [00:00<00:03, 41.7MB/s]      19%|#8        | 32.0M/170M [00:00<00:03, 44.0MB/s]      25%|##5       | 43.1M/170M [00:00<00:02, 60.5MB/s]      29%|##9       | 49.8M/170M [00:01<00:02, 55.3MB/s]      34%|###4      | 57.9M/170M [00:01<00:01, 62.2MB/s]      38%|###7      | 64.5M/170M [00:01<00:02, 45.9MB/s]      43%|####2     | 72.9M/170M [00:01<00:01, 54.4MB/s]      47%|####7     | 80.0M/170M [00:01<00:01, 55.7MB/s]      52%|#####1    | 87.5M/170M [00:01<00:01, 61.1MB/s]      55%|#####5    | 94.0M/170M [00:01<00:01, 58.0MB/s]      59%|#####8    | 100M/170M [00:02<00:01, 50.6MB/s]       62%|######2   | 105M/170M [00:02<00:01, 48.2MB/s]      66%|######6   | 113M/170M [00:02<00:01, 55.3MB/s]      70%|######9   | 118M/170M [00:02<00:01, 53.6MB/s]      73%|#######2  | 124M/170M [00:02<00:00, 51.7MB/s]  
     76%|#######5  | 129M/170M [00:02<00:00, 43.5MB/s]      80%|########  | 136M/170M [00:02<00:00, 45.0MB/s]      85%|########4 | 144M/170M [00:03<00:00, 41.3MB/s]      89%|########9 | 152M/170M [00:03<00:00, 45.2MB/s]      94%|#########4| 160M/170M [00:03<00:00, 49.2MB/s]      99%|#########8| 168M/170M [00:03<00:00, 56.2MB/s]     100%|##########| 170M/170M [00:03<00:00, 51.7MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
       (torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -292,7 +292,7 @@ Get boxes with score larger than 0.9
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  25.837 seconds)
+   **Total running time of the script:** ( 3 minutes  35.193 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 1545679805..89a23293b4 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, 40.2MB/s]      90%|########9 | 12.2M/13.6M [00:00<00:00, 37.8MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 41.7MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      47%|####6     | 6.30M/13.6M [00:00<00:00, 65.5MB/s]      93%|#########2| 12.6M/13.6M [00:00<00:00, 54.5MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 59.4MB/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)  
-      86.1414      86.1025      86.7529      85.7265       0.1959                  
+      89.8883      89.4781      102.6427     88.8984       1.7889                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  27.406 seconds)
+   **Total running time of the script:** ( 1 minutes  28.571 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 b9c674fb34..c3047f1b7c 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)  
-      110.9054     111.0173     113.3557     108.5058      1.0683                  
+      106.9340     106.6354     111.6935     105.6535      1.1127                  
 
 
 
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 9c85ba879c..01dcca445a 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
 =================
-**09:35.113** total execution time for **how_to_deploy_models** files:
+**09:50.733** 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``) | 03:25.837 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:35.193 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:27.406 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:28.571 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:17.603 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:19.419 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:50.799 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:50.955 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:49.892 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:50.511 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:45.633 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:46.111 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.039 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:30.140 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.897 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.826 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.007 | 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 50e922796c..b2609aebf0 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:04.014** total execution time for **how_to_extend_tvm** files:
+**00:03.938** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.789 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.743 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.217 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.188 | 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 5dd4b18f0e..dfc6c02e99 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: 25085us [25085us] (48.38%; 48.38%)
-    FoldScaleAxis: 26766us [10us] (51.62%; 51.62%)
-            FoldConstant: 26756us [1794us] (51.60%; 99.96%)
-                    InferType: 24963us [24963us] (48.14%; 93.30%)
+    InferType: 25801us [25801us] (48.80%; 48.80%)
+    FoldScaleAxis: 27067us [7us] (51.20%; 51.20%)
+            FoldConstant: 27060us [1812us] (51.18%; 99.97%)
+                    InferType: 25247us [25247us] (47.76%; 93.30%)
 
 
 
@@ -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: 24726us [24726us] (47.99%; 47.99%)
-    FoldScaleAxis: 26793us [8us] (52.01%; 52.01%)
-            FoldConstant: 26785us [1782us] (51.99%; 99.97%)
-                    InferType: 25002us [25002us] (48.53%; 93.35%)
+    InferType: 24785us [24785us] (48.44%; 48.44%)
+    FoldScaleAxis: 26376us [6us] (51.56%; 51.56%)
+            FoldConstant: 26371us [1693us] (51.54%; 99.98%)
+                    InferType: 24677us [24677us] (48.23%; 93.58%)
 
 
 
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 8eea36501e..2622985d49 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: 53.503166 ms
+    Convolution: 45.117504 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 2681a2582b..5df3bee5af 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: 11.477622 ms
+    conv2d with tensor core: 12.271840 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 f2a33fddb1..59b68f17ea 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: 0.014473
-    Baseline: 3.394985
+    Numpy running time: 0.018151
+    Baseline: 3.412903
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.288619
+    Opt1: 0.304988
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.260587
+    Opt2: 0.283826
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.109850
+    Opt3: 0.116165
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.103899
+    Opt4: 0.108551
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.096704
+    Opt5: 0.112217
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.115262
+    Opt6: 0.133306
 
 
 
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 359539fd59..52fbe24118 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:31.741** total execution time for **how_to_optimize_operators** files:
+**00:33.966** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:28.911 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:31.053 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.733 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.776 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.097 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.137 | 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 a018bce330..e4b4ee4748 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
 =================
-**03:33.303** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:41.126** 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``)             | 01:32.112 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:35.107 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:11.156 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:13.255 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:19.219 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:19.845 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:16.189 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:17.133 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.529 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:15.683 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.098 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.102 | 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 fb06a4677d..d7367b259c 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: 0.346 ms
+    Execution time of this operator: 0.339 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 e06c552221..4cc5be1f56 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)  
-       3.2452       3.2462       3.2477       3.2416       0.0026                  
+       3.2122       3.2123       3.2130       3.2113       0.0007                  
 
 
 
@@ -660,7 +660,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  11.156 seconds)
+   **Total running time of the script:** ( 1 minutes  13.255 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 3b4cf2ec4a..14d6c22719 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)  
-      711.4528     711.3214     712.5650     710.4719      0.8595                  
+      750.6493     750.2103     753.1862     748.5515      1.9174                  
 
 
 
@@ -682,7 +682,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  32.112 seconds)
+   **Total running time of the script:** ( 1 minutes  35.107 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 afa042b46e..5802f66d68 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:22.746** total execution time for **how_to_tune_with_autotvm** files:
+**00:24.005** total execution time for **how_to_tune_with_autotvm** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:22.709 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:23.967 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.020 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.022 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.006 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index af284e010a..7b4a5f394f 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: 0.037234
+    Time cost of this operator: 0.037150
 
 
 
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 29a9ae3c77..569cc43784 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
@@ -360,10 +360,10 @@ Timing the untuned program
     ########## Build without Autotuning ##########
     Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)  
     ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------  
-    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  297.6     98.749   (1, 2, 10, 10, 3)  2       1        [297.6]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.821     0.936    (1, 6, 10, 10)     1       1        [2.821]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.949     0.315    (1, 1, 10, 10, 3)  1       1        [0.949]           
-    Total_time                                    -                                             301.37    -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  305.0     98.74    (1, 2, 10, 10, 3)  2       1        [305.0]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.923     0.946    (1, 6, 10, 10)     1       1        [2.923]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.97      0.314    (1, 1, 10, 10, 3)  1       1        [0.97]            
+    Total_time                                    -                                             308.893   -        -                  -       -        -                 
 
 
 
@@ -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  99.125    97.417   (1, 6, 10, 10, 1)  2       1        [99.125]          
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.705     1.676    (1, 6, 10, 10)     1       1        [1.705]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.924     0.908    (1, 1, 10, 10, 3)  1       1        [0.924]           
-    Total_time                                    -                                             101.754   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.9     96.97    (1, 6, 10, 10, 1)  2       1        [100.9]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.192     2.106    (1, 6, 10, 10)     1       1        [2.192]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.961     0.924    (1, 1, 10, 10, 3)  1       1        [0.961]           
+    Total_time                                    -                                             104.053   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  23.269 seconds)
+   **Total running time of the script:** ( 1 minutes  25.243 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 eb9881a7b6..b1586e1a9a 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, 14.8MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 23.2MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 67.1MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
       device=storage.device,
     /workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  26.949 seconds)
+   **Total running time of the script:** ( 1 minutes  29.735 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 7db825fe61..6eb497008b 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/tmpx_epdnv1/images/random'
+    '/tmp/tmp1dv0m_hz/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmpx_epdnv1/images/target contains 8144 images
-    /tmp/tmpx_epdnv1/images/random contains 5000 images
+    /tmp/tmp1dv0m_hz/images/target contains 8144 images
+    /tmp/tmp1dv0m_hz/images/random contains 5000 images
 
 
 
@@ -493,13 +493,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 37s - loss: 0.2406 - accuracy: 0.9181 - val_loss: 0.1000 - val_accuracy: 0.9637 - 37s/epoch - 114ms/step
+    328/328 - 39s - loss: 0.2310 - accuracy: 0.9208 - val_loss: 0.1101 - val_accuracy: 0.9641 - 39s/epoch - 119ms/step
     Epoch 2/3
-    328/328 - 34s - loss: 0.1007 - accuracy: 0.9628 - val_loss: 0.1101 - val_accuracy: 0.9573 - 34s/epoch - 105ms/step
+    328/328 - 35s - loss: 0.1008 - accuracy: 0.9625 - val_loss: 0.1020 - val_accuracy: 0.9626 - 35s/epoch - 108ms/step
     Epoch 3/3
-    328/328 - 34s - loss: 0.0707 - accuracy: 0.9736 - val_loss: 0.0997 - val_accuracy: 0.9660 - 34s/epoch - 105ms/step
+    328/328 - 35s - loss: 0.0636 - accuracy: 0.9763 - val_loss: 0.1051 - val_accuracy: 0.9649 - 35s/epoch - 108ms/step
 
-    <keras.callbacks.History object at 0x7fb99f4afc40>
+    <keras.callbacks.History object at 0x7f4051b78b80>
 
 
 
@@ -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  54.151 seconds)
+   **Total running time of the script:** ( 4 minutes  42.594 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 35653a0535..229e5cf292 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**08:13.745** total execution time for **how_to_work_with_microtvm** files:
+**08:07.471** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:54.151 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:42.594 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:26.949 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:29.735 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:23.269 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:25.243 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.744 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.143 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.521 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.586 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:07.110 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:07.170 | 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 0dddf49caf..56f574482e 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**00:36.376** total execution time for **how_to_work_with_relay** files:
+**00:37.473** total execution time for **how_to_work_with_relay** files:
 
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:31.795 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.675 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:02.997 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.052 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.577 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.740 | 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 |
+| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)                 | 00:00.006 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 9933666f95..c555dbc4a5 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 0x7fbe639ca0d0>
+    <function my_cuda_math_rule at 0x7f40f9b14790>
 
 
 
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 142ce01e46..efa1eddf17 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
 =================
-**00:04.537** total execution time for **how_to_work_with_schedules** files:
+**00:04.951** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.305 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.382 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.663 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:00.921 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.648 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.680 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:00.639 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.675 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.118 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.122 | 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_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.071 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.065 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.067 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.031 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.033 | 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 042fd52d2e..8a29622da4 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 26.82s!
+    yolov3-tiny inference graph built in 26.30s!
 
 
 
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 e86e9bdb49..a4cd136520 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
 =================
-**00:59.327** total execution time for **topic_vta_tutorials_frontend** files:
+**00:59.518** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.327 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.518 | 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 855a477e75..431ee27477 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
 =================
-**00:03.101** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.195** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.667 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.760 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.434 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.435 | 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 e2cd239dd7..dd131b3beb 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
 =================
-**00:00.681** total execution time for **topic_vta_tutorials** files:
+**00:00.687** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.356 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.357 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.325 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.330 | 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 8cbed9dfc4..150179eb43 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 94.165 ms
+    Execution time of this operator: 96.699 ms
 
 
 
@@ -434,7 +434,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  41.346 seconds)
+   **Total running time of the script:** ( 1 minutes  40.356 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 656a37d274..1f37af10ff 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: 8.49/8.49       result: MeasureResult(costs=(0.0316075202,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7877602577209473, timestamp=1711677287.9453998)       [('tile_y', [-1, 16]), ('tile_x', [-1, 8])],None,34
-    No: 2   GFLOPS: 9.08/9.08       result: MeasureResult(costs=(0.029573558399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7501680850982666, timestamp=1711677288.678304)        [('tile_y', [-1, 8]), ('tile_x', [-1, 8])],None,33
-    No: 3   GFLOPS: 10.94/10.94     result: MeasureResult(costs=(0.024542629,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6879727840423584, timestamp=1711677289.3295395)        [('tile_y', [-1, 8]), ('tile_x', [-1, 16])],None,43
-    No: 4   GFLOPS: 11.97/11.97     result: MeasureResult(costs=(0.0224297846,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6493852138519287, timestamp=1711677289.9471407)       [('tile_y', [-1, 32]), ('tile_x', [-1, 32])],None,55
-    No: 5   GFLOPS: 11.87/11.97     result: MeasureResult(costs=(0.0226196184,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6500256061553955, timestamp=1711677290.7102478)       [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
-    No: 6   GFLOPS: 8.65/11.97      result: MeasureResult(costs=(0.031022206999999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7760796546936035, timestamp=1711677291.4649262)       [('tile_y', [-1, 4]), ('tile_x', [-1, 8])],None,32
-    No: 7   GFLOPS: 4.13/11.97      result: MeasureResult(costs=(0.0649207804,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3153166770935059, timestamp=1711677292.765976)        [('tile_y', [-1, 8]), ('tile_x', [-1, 2])],None,13
-    No: 8   GFLOPS: 1.05/11.97      result: MeasureResult(costs=(0.2563446394,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.3548314571380615, timestamp=1711677297.1232872)       [('tile_y', [-1, 64]), ('tile_x', [-1, 2])],None,16
-    No: 9   GFLOPS: 9.61/11.97      result: MeasureResult(costs=(0.0279361502,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6717863082885742, timestamp=1711677297.903761)        [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
-    No: 10  GFLOPS: 0.53/11.97      result: MeasureResult(costs=(0.5106991784,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.399804592132568, timestamp=1711677306.3405268)        [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
+    No: 1   GFLOPS: 9.66/9.66       result: MeasureResult(costs=(0.027802284200000006,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7025442123413086, timestamp=1711694349.2623203)       [('tile_y', [-1, 512]), ('tile_x', [-1, 32])],None,59
+    No: 2   GFLOPS: 14.21/14.21     result: MeasureResult(costs=(0.0188904186,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5692882537841797, timestamp=1711694349.819467)        [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
+    No: 3   GFLOPS: 6.17/14.21      result: MeasureResult(costs=(0.0435013594,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.9639706611633301, timestamp=1711694350.7750618)       [('tile_y', [-1, 16]), ('tile_x', [-1, 4])],None,24
+    No: 4   GFLOPS: 3.65/14.21      result: MeasureResult(costs=(0.07348412359999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4285051822662354, timestamp=1711694352.2034345)        [('tile_y', [-1, 256]), ('tile_x', [-1, 8])],None,38
+    No: 5   GFLOPS: 1.02/14.21      result: MeasureResult(costs=(0.2621264304,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.470736742019653, timestamp=1711694356.8064315)        [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
+    No: 6   GFLOPS: 9.78/14.21      result: MeasureResult(costs=(0.0274549884,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.691281795501709, timestamp=1711694357.5057647)        [('tile_y', [-1, 1]), ('tile_x', [-1, 512])],None,90
+    No: 7   GFLOPS: 13.33/14.21     result: MeasureResult(costs=(0.020136732,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.590440034866333, timestamp=1711694358.0841887) [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
+    No: 8   GFLOPS: 10.50/14.21     result: MeasureResult(costs=(0.025576597200000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7026963233947754, timestamp=1711694358.7496674)       [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
+    No: 9   GFLOPS: 1.33/14.21      result: MeasureResult(costs=(0.20163855599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.4417378902435303, timestamp=1711694362.3135157)        [('tile_y', [-1, 2]), ('tile_x', [-1, 1])],None,1
+    No: 10  GFLOPS: 1.65/14.21      result: MeasureResult(costs=(0.1629446838,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.8428046703338623, timestamp=1711694365.1874688)       [('tile_y', [-1, 16]), ('tile_x', [-1, 1])],None,4
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index ebd8267e86..8aecf49290 100644
--- a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
@@ -311,7 +311,7 @@ standard deviation.
 
  .. code-block:: none
 
-    {'mean': 465.9887958999934, 'median': 465.9427565999067, 'std': 0.5116720502973422}
+    {'mean': 492.3359014299058, 'median': 492.1134946498569, 'std': 1.4732773411501123}
 
 
 
@@ -582,31 +582,29 @@ the tuning data to.
 
  .. code-block:: none
 
-     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   14.57/  24.36 GFLOPS | Progress: (4/20) | 8.97 s     [Task  1/25]  Current/Best:    7.40/  24.36 GFLOPS | Progress: (8/20) | 12.47 s     [Task  1/25]  Current/Best:   15.05/  24.36 GFLOPS | Progress: (12/20) | 15.83 s     [Task  1/25]  Current/Best:    9.78/  24.36 GFLOPS | Progress: (16/20) | 18.57 s     [Task  1/25]  Current/Best:   18.49/  24.36 GFLOPS | Progress: (20/20) | 21.91 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   15.17/  18.62 GFLOPS | Progress: (4/20) | 3.98 s     [Task  2/25]  Current/Best:   20.97/  20.97 GFLOPS | Progress: (8/20) | 5.34 s     [Task  2/25]  Current/Best:   20.00/  20.97 GFLOPS | Progress: (12/20) | 6.82 s     [Task  2/25]  Current/Best:    7.07/  20.97 GFLOPS | Progress: (16/20) | 8.43 s     [Task  2/25]  Current/Best:   14.15/  20.97 GFLOPS | Progress: (20/20) | 9.93 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:    8.41/  20.29 GFLOPS | Progress: (4/20) | 5.31 s     [Task  3/25]  Current/Best:   11.81/  25.03 GFLOPS | Progress: (8/20) | 7.20 s     [Task  3/25]  Current/Best:   23.85/  25.03 GFLOPS | Progress: (12/20) | 9.35 s     [Task  3/25]  Current/Best:   11.51/  25.03 GFLOPS | Progress: (16/20) | 11.43 s     [Task  3/25]  Current/Best:    5.94/  25.03 GFLOPS | Progress: (20/20) | 13.86 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   20.56/  20.56 GFLOPS | Progress: (4/20) | 4.12 s     [Task  4/25]  Current/Best:    5.57/  20.56 GFLOPS | Progress: (8/20) | 8.08 s     [Task  4/25]  Current/Best:   17.59/  20.56 GFLOPS | Progress: (12/20) | 12.13 s     [Task  4/25]  Current/Best:   16.38/  23.57 GFLOPS | Progress: (16/20) | 13.70 s     [Task  4/25]  Current/Best:   10.86/  23.57 GFLOPS | Progress: (20/20) | 16.59 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   12.84/  18.08 GFLOPS | Progress: (4/20) | 4.86 s     [Task  5/25]  Current/Best:   17.82/  18.08 GFLOPS | Progress: (8/20) | 7.00 s     [Task  5/25]  Current/Best:   18.02/  23.60 GFLOPS | Progress: (12/20) | 8.76 s     [Task  5/25]  Current/Best:   12.70/  23.60 GFLOPS | Progress: (16/20) | 11.01 s     [Task  5/25]  Current/Best:   14.77/  23.60 GFLOPS | Progress: (20/20) | 13.36 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    5.04/  15.33 GFLOPS | Progress: (4/20) | 5.24 s     [Task  6/25]  Current/Best:    3.55/  20.22 GFLOPS | Progress: (8/20) | 7.79 s     [Task  6/25]  Current/Best:   14.52/  21.02 GFLOPS | Progress: (12/20) | 11.52 s     [Task  6/25]  Current/Best:   16.34/  21.02 GFLOPS | Progress: (16/20) | 14.09 s     [Task  6/25]  Current/Best:   12.13/  21.55 GFLOPS | Progress: (20/20) | 17.54 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:    6.48/  18.33 GFLOPS | Progress: (4/20) | 4.87 s     [Task  7/25]  Current/Best:   13.22/  18.33 GFLOPS | Progress: (8/20) | 7.43 s     [Task  7/25]  Current/Best:   21.94/  22.74 GFLOPS | Progress: (12/20) | 9.95 s     [Task  7/25]  Current/Best:   18.92/  22.74 GFLOPS | Progress: (16/20) | 12.76 s     [Task  7/25]  Current/Best:   18.05/  22.74 GFLOPS | Progress: (20/20) | 14.91 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   12.30/  16.88 GFLOPS | Progress: (4/20) | 5.07 s     [Task  8/25]  Current/Best:    6.07/  18.84 GFLOPS | Progress: (8/20) | 13.18 s     [Task  8/25]  Current/Best:   13.75/  20.57 GFLOPS | Progress: (12/20) | 16.12 s     [Task  8/25]  Current/Best:   11.39/  20.57 GFLOPS | Progress: (16/20) | 19.84 s     [Task  8/25]  Current/Best:   12.63/  20.57 GFLOPS | Progress: (20/20) | 23.40 s Done.
-     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:    6.33/  15.97 GFLOPS | Progress: (4/20) | 5.01 s     [Task  9/25]  Current/Best:    7.05/  15.97 GFLOPS | Progress: (8/20) | 10.39 s     [Task  9/25]  Current/Best:   18.76/  19.44 GFLOPS | Progress: (12/20) | 12.40 s     [Task  9/25]  Current/Best:   12.62/  19.44 GFLOPS | Progress: (16/20) | 23.79 s     [Task  9/25]  Current/Best:    6.82/  19.44 GFLOPS | Progress: (20/20) | 27.02 s     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   10.15/  21.04 GFLOPS | Progress: (4/20) | 4.76 s     [Task 10/25]  Current/Best:   10.87/  21.04 GFLOPS | Progress: (8/20) | 7.56 s     [Task 10/25]  Current/Best:   14.65/  21.04 GFLOPS | Progress: (12/20) | 9.80 s     [Task 10/25]  Current/Best:   11.68/  21.04 GFLOPS | Progress: (16/20) | 13.36 s     [Task 10/25]  Current/Best:    3.05/  21.04 GFLOPS | Progress: (20/20
 ) | 15.17 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/  20.83 GFLOPS | Progress: (4/20) | 4.78 s     [Task 11/25]  Current/Best:   17.36/  20.83 GFLOPS | Progress: (8/20) | 7.15 s     [Task 11/25]  Current/Best:   22.46/  22.46 GFLOPS | Progress: (12/20) | 9.53 s     [Task 11/25]  Current/Best:   10.51/  22.46 GFLOPS | Progress: (16/20) | 11.69 s     [Task 11/25]  Current/Best:   16.94/  22.46 GFLOPS | Progress: (20/20) | 13.93 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   18.16/  18.16 GFLOPS | Progress: (4/20) | 4.91 s     [Task 12/25]  Current/Best:   16.36/  18.16 GFLOPS | Progress: (8/20) | 9.59 s     [Task 12/25]  Current/Best:    8.98/  18.16 GFLOPS | Progress: (12/20) | 11.88 s     [Task 12/25]  Current/Best:   16.56/  18.16 GFLOPS | Progress: (16/20) | 15.50 s     [Task 12/25]  Current/Best:    4.97/  18.16 GFLOPS | Progress: (20/20) | 18.63 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:    8.91/  20.45 GFLOPS | Progress: (4/20) | 6.16 s     [Task 13/25]  Current/Best:   15.16/  20.45 GFLOPS | Progress: (8/20) | 9.11 s     [Task 13/25]  Current/Best:    3.18/  22.74 GFLOPS | Progress: (12/20) | 12.83 s     [Task 13/25]  Current/Best:   18.32/  22.74 GFLOPS | Progress: (16/20) | 15.00 s     [Task 13/25]  Current/Best:   18.05/  23.41 GFLOPS | Progress: (20/20) | 17.77 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   16.86/  16.86 GFLOPS | Progress: (4/20) | 5.37 s     [Task 14/25]  Current/Best:   13.49/  21.06 GFLOPS | Progress: (8/20) | 7.73 s     [Task 14/25]  Current/Best:   21.97/  21.97 GFLOPS | Progress: (12/20) | 14.05 s     [Task 14/25]  Current/Best:    6.90/  21.97 GFLOPS | Progress: (16/20) | 17.84 s     [Task 14/25]  Current/Best:   16.86/  21.97 GFLOPS | Progress: (20/20) | 20.23 s Done.
-     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    7.30/  13.52 GFLOPS | Progress: (4/20) | 10.65 s     [Task 15/25]  Current/Best:   14.33/  21.26 GFLOPS | Progress: (8/20) | 12.43 s     [Task 15/25]  Current/Best:    7.53/  21.26 GFLOPS | Progress: (12/20) | 14.90 s     [Task 15/25]  Current/Best:    6.54/  21.26 GFLOPS | Progress: (16/20) | 18.69 s     [Task 15/25]  Current/Best:   16.85/  21.26 GFLOPS | Progress: (20/20) | 20.30 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   17.52/  20.04 GFLOPS | Progress: (4/20) | 4.12 s     [Task 16/25]  Current/Best:    1.63/  20.04 GFLOPS | Progress: (8/20) | 6.33 s     [Task 16/25]  Current/Best:   18.89/  20.04 GFLOPS | Progress: (12/20) | 7.88 s     [Task 16/25]  Current/Best:   18.96/  20.04 GFLOPS | Progress: (16/20) | 9.52 s     [Task 16/25]  Current/Best:   14.28/  20.04 GFLOPS | Progress: (20/20) | 11.79 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    3.20/  22.79 GFLOPS | Progress: (4/20) | 5.93 s     [Task 17/25]  Current/Best:    9.85/  24.29 GFLOPS | Progress: (8/20) | 8.53 s     [Task 17/25]  Current/Best:   12.65/  24.29 GFLOPS | Progress: (12/20) | 11.28 s     [Task 17/25]  Current/Best:    9.32/  24.29 GFLOPS | Progress: (16/20) | 14.66 s     [Task 17/25]  Current/Best:   24.63/  24.63 GFLOPS | Progress: (20/20) | 16.89 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:    5.30/  19.17 GFLOPS | Progress: (4/20) | 6.66 s     [Task 18/25]  Current/Best:    5.36/  19.17 GFLOPS | Progress: (8/20) | 9.87 s     [Task 18/25]  Current/Best:   13.62/  19.17 GFLOPS | Progress: (12/20) | 14.08 s     [Task 18/25]  Current/Best:   13.44/  20.24 GFLOPS | Progress: (16/20) | 18.00 s     [Task 18/25]  Current/Best:    9.00/  20.61 GFLOPS | Progress: (20/20) | 27.01 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    7.67/  19.81 GFLOPS | Progress: (4/20) | 6.43 s     [Task 19/25]  Current/Best:   19.11/  21.90 GFLOPS | Progress: (8/20) | 8.54 s     [Task 19/25]  Current/Best:    9.51/  21.90 GFLOPS | Progress: (12/20) | 12.10 s     [Task 19/25]  Current/Best:   12.56/  21.90 GFLOPS | Progress: (16/20) | 16.22 s     [Task 19/25]  Current/Best:   19.25/  21.90 GFLOPS | Progress: (20/20) | 19.77 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   14.28/  14.28 GFLOPS | Progress: (4/20) | 14.16 s     [Task 20/25]  Current/Best:    2.67/  14.28 GFLOPS | Progress: (8/20) | 26.53 s Done.
-     [Task 20/25]  Current/Best:   19.29/  19.29 GFLOPS | Progress: (12/20) | 30.15 s     [Task 20/25]  Current/Best:    5.84/  19.29 GFLOPS | Progress: (16/20) | 32.60 s     [Task 20/25]  Current/Best:    5.49/  19.29 GFLOPS | Progress: (20/20) | 40.66 s Done.
-     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:    1.68/  23.25 GFLOPS | Progress: (4/20) | 4.76 s     [Task 21/25]  Current/Best:    9.95/  23.25 GFLOPS | Progress: (8/20) | 15.86 s     [Task 21/25]  Current/Best:   20.13/  23.25 GFLOPS | Progress: (12/20) | 19.04 s     [Task 21/25]  Current/Best:   18.66/  23.25 GFLOPS | Progress: (16/20) | 30.19 s     [Task 21/25]  Current/Best:   10.29/  23.25 GFLOPS | Progress: (20/20) | 34.72 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   10.46/  22.44 GFLOPS | Progress: (4/20) | 4.39 s     [Task 22/25]  Current/Best:   14.75/  22.44 GFLOPS | Progress: (8/20) | 6.62 s     [Task 22/25]  Current/Best:    5.75/  22.44 GFLOPS | Progress: (12/20) | 8.74 s     [Task 22/25]  Current/Best:   18.54/  22.44 GFLOPS | Progress: (16/20) | 10.31 s     [Task 22/25]  Current/Best:   10.54/  22.44 GFLOPS | Progress: (20/20
 ) | 13.78 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   11.17/  22.61 GFLOPS | Progress: (4/20) | 7.56 s     [Task 23/25]  Current/Best:    9.01/  23.54 GFLOPS | Progress: (8/20) | 10.86 s     [Task 23/25]  Current/Best:   11.15/  23.54 GFLOPS | Progress: (12/20) | 14.35 s     [Task 23/25]  Current/Best:   22.57/  23.54 GFLOPS | Progress: (16/20) | 16.86 s     [Task 23/25]  Current/Best:    6.79/  23.54 GFLOPS | Progress: (20/20) | 19.87 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    6.55/   7.87 GFLOPS | Progress: (4/20) | 6.64 s     [Task 24/25]  Current/Best:    2.55/   7.87 GFLOPS | Progress: (8/20) | 17.62 s     [Task 24/25]  Current/Best:    3.84/   7.87 GFLOPS | Progress: (12/20) | 29.39 s     [Task 24/25]  Current/Best:    7.48/  10.52 GFLOPS | Progress: (16/20) | 40.35 s Done.
-     [Task 24/25]  Current/Best:   10.88/  10.88 GFLOPS | Progress: (20/20) | 42.86 s Done.
-     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    7.67/   8.09 GFLOPS | Progress: (4/20) | 4.14 s     [Task 25/25]  Current/Best:    9.85/   9.85 GFLOPS | Progress: (8/20) | 6.39 s     [Task 25/25]  Current/Best:    1.59/   9.85 GFLOPS | Progress: (12/20) | 8.33 s     [Task 25/25]  Current/Best:    1.59/   9.85 GFLOPS | Progress: (16/20) | 13.88 s     [Task 25/25]  Current/Best:    7.49/   9.85 GFLOPS | Progress: (20/20) | 19.53 s Done.
+     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:    6.54/  23.56 GFLOPS | Progress: (4/20) | 8.97 s     [Task  1/25]  Current/Best:   11.28/  23.56 GFLOPS | Progress: (8/20) | 11.41 s     [Task  1/25]  Current/Best:    1.92/  23.56 GFLOPS | Progress: (12/20) | 16.54 s     [Task  1/25]  Current/Best:   12.02/  23.56 GFLOPS | Progress: (16/20) | 20.47 s     [Task  1/25]  Current/Best:   18.12/  23.56 GFLOPS | Progress: (20/20) | 23.09 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:    7.45/  10.94 GFLOPS | Progress: (4/20) | 4.43 s     [Task  2/25]  Current/Best:   16.62/  16.62 GFLOPS | Progress: (8/20) | 6.08 s     [Task  2/25]  Current/Best:   13.45/  18.90 GFLOPS | Progress: (12/20) | 7.77 s     [Task  2/25]  Current/Best:   19.89/  19.89 GFLOPS | Progress: (16/20) | 9.05 s     [Task  2/25]  Current/Best:   14.92/  19.89 GFLOPS | Progress: (20/20) | 10.79 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   12.96/  14.61 GFLOPS | Progress: (4/20) | 4.96 s     [Task  3/25]  Current/Best:   10.44/  19.99 GFLOPS | Progress: (8/20) | 7.23 s     [Task  3/25]  Current/Best:    5.39/  20.72 GFLOPS | Progress: (12/20) | 9.90 s     [Task  3/25]  Current/Best:   20.86/  23.20 GFLOPS | Progress: (16/20) | 11.90 s     [Task  3/25]  Current/Best:    6.61/  23.20 GFLOPS | Progress: (20/20) | 15.42 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   11.61/  13.17 GFLOPS | Progress: (4/20) | 7.87 s     [Task  4/25]  Current/Best:   12.76/  14.41 GFLOPS | Progress: (8/20) | 10.94 s     [Task  4/25]  Current/Best:    7.95/  17.80 GFLOPS | Progress: (12/20) | 13.59 s     [Task  4/25]  Current/Best:   15.45/  17.80 GFLOPS | Progress: (16/20) | 18.07 s     [Task  4/25]  Current/Best:   17.77/  17.80 GFLOPS | Progress: (20/20) | 19.81 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:    9.08/  17.83 GFLOPS | Progress: (4/20) | 4.57 s     [Task  5/25]  Current/Best:   20.03/  20.50 GFLOPS | Progress: (8/20) | 7.19 s     [Task  5/25]  Current/Best:    5.81/  20.50 GFLOPS | Progress: (12/20) | 9.17 s     [Task  5/25]  Current/Best:    3.21/  20.50 GFLOPS | Progress: (16/20) | 11.28 s     [Task  5/25]  Current/Best:   14.79/  20.50 GFLOPS | Progress: (20/20) | 13.65 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   12.65/  21.27 GFLOPS | Progress: (4/20) | 4.94 s     [Task  6/25]  Current/Best:   10.44/  21.27 GFLOPS | Progress: (8/20) | 8.24 s     [Task  6/25]  Current/Best:   21.17/  21.27 GFLOPS | Progress: (12/20) | 10.46 s     [Task  6/25]  Current/Best:   14.34/  21.27 GFLOPS | Progress: (16/20) | 13.55 s     [Task  6/25]  Current/Best:   14.11/  21.27 GFLOPS | Progress: (20/20) | 16.25 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   13.80/  21.02 GFLOPS | Progress: (4/20) | 4.83 s     [Task  7/25]  Current/Best:   17.13/  21.02 GFLOPS | Progress: (8/20) | 6.98 s     [Task  7/25]  Current/Best:   13.75/  21.04 GFLOPS | Progress: (12/20) | 9.39 s     [Task  7/25]  Current/Best:   20.70/  21.04 GFLOPS | Progress: (16/20) | 11.71 s     [Task  7/25]  Current/Best:   19.75/  21.04 GFLOPS | Progress: (20/20) | 13.87 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    5.55/  14.86 GFLOPS | Progress: (4/20) | 5.37 s     [Task  8/25]  Current/Best:    3.11/  14.87 GFLOPS | Progress: (8/20) | 11.94 s     [Task  8/25]  Current/Best:   11.51/  16.28 GFLOPS | Progress: (12/20) | 15.48 s     [Task  8/25]  Current/Best:    5.04/  16.28 GFLOPS | Progress: (16/20) | 23.52 s     [Task  8/25]  Current/Best:    3.91/  16.28 GFLOPS | Progress: (20/20) | 26.30 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:    7.80/  14.26 GFLOPS | Progress: (4/20) | 13.15 s     [Task  9/25]  Current/Best:   12.59/  18.22 GFLOPS | Progress: (8/20) | 15.21 s     [Task  9/25]  Current/Best:    9.98/  18.22 GFLOPS | Progress: (12/20) | 20.29 s     [Task  9/25]  Current/Best:    6.64/  18.22 GFLOPS | Progress: (16/20) | 22.04 s     [Task  9/25]  Current/Best:   22.85/  22.85 GFLOPS | Progress: (20/20) | 26.28 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:    5.47/  13.51 GFLOPS | Progress: (4/20) | 5.74 s     [Task 10/25]  Current/Best:   14.18/  17.86 GFLOPS | Progress: (8/20) | 8.82 s     [Task 10/25]  Current/Best:   13.44/  17.86 GFLOPS | Progress: (12/20) | 10.53 s     [Task 10/25]  Current/Best:   12.45/  17.86 GFLOPS | Progress: (16/20) | 13.18 s     [Task 10/25]  Current/Best:   12.00/  20.93 GFLOPS | Progress: (20/20) | 15.26 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   16.06/  16.06 GFLOPS | Progress: (4/20) | 5.19 s     [Task 11/25]  Current/Best:    9.74/  21.29 GFLOPS | Progress: (8/20) | 7.46 s     [Task 11/25]  Current/Best:   11.49/  21.59 GFLOPS | Progress: (12/20) | 9.74 s     [Task 11/25]  Current/Best:   19.14/  21.59 GFLOPS | Progress: (16/20) | 13.49 s     [Task 11/25]  Current/Best:    7.37/  22.46 GFLOPS | Progress: (20/20) | 15.85 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   13.57/  13.57 GFLOPS | Progress: (4/20) | 6.55 s     [Task 12/25]  Current/Best:   18.30/  18.30 GFLOPS | Progress: (8/20) | 8.81 s     [Task 12/25]  Current/Best:    2.59/  18.30 GFLOPS | Progress: (12/20) | 12.26 s     [Task 12/25]  Current/Best:   13.36/  18.30 GFLOPS | Progress: (16/20) | 14.61 s     [Task 12/25]  Current/Best:   15.32/  20.52 GFLOPS | Progress: (20/20) | 16.54 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:    9.14/  18.77 GFLOPS | Progress: (4/20) | 5.89 s     [Task 13/25]  Current/Best:   19.53/  19.53 GFLOPS | Progress: (8/20) | 8.61 s     [Task 13/25]  Current/Best:   18.99/  19.53 GFLOPS | Progress: (12/20) | 13.49 s     [Task 13/25]  Current/Best:    9.79/  19.53 GFLOPS | Progress: (16/20) | 17.22 s     [Task 13/25]  Current/Best:    4.60/  19.53 GFLOPS | Progress: (20/20) | 20.19 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:    6.77/  21.99 GFLOPS | Progress: (4/20) | 13.22 s     [Task 14/25]  Current/Best:    7.64/  21.99 GFLOPS | Progress: (8/20) | 19.95 s     [Task 14/25]  Current/Best:   12.12/  21.99 GFLOPS | Progress: (12/20) | 23.28 s     [Task 14/25]  Current/Best:   13.64/  21.99 GFLOPS | Progress: (16/20) | 29.03 s     [Task 14/25]  Current/Best:   15.00/  21.99 GFLOPS | Progress: (20/20) | 31.09 s Done.
+     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    8.41/  21.93 GFLOPS | Progress: (4/20) | 8.99 s     [Task 15/25]  Current/Best:    8.00/  21.93 GFLOPS | Progress: (8/20) | 19.57 s     [Task 15/25]  Current/Best:   12.80/  21.93 GFLOPS | Progress: (12/20) | 30.70 s     [Task 15/25]  Current/Best:   17.68/  21.93 GFLOPS | Progress: (16/20) | 33.39 s     [Task 15/25]  Current/Best:   10.32/  21.93 GFLOPS | Progress: (20/20) | 41.12 s     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:    7.56/  14.24 GFLOPS | Progress: (4/20) | 4.91 s     [Task 16/25]  Current/Best:   12.90/  19.68 GFLOPS | Progress: (8/20) | 7.51 s     [Task 16/25]  Current/Best:   15.34/  19.68 GFLOPS | Progress: (12/20) | 9.92 s     [Task 16/25]  Current/Best:   11.77/  19.68 GFLOPS | Progress: (16/20) | 13.25 s     [Task 16/25]  Current/Best:   14.40/  20.52 GFLOPS | Progress: (20/20
 ) | 14.74 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    8.37/  11.80 GFLOPS | Progress: (4/20) | 5.58 s     [Task 17/25]  Current/Best:    6.23/  23.17 GFLOPS | Progress: (8/20) | 8.11 s     [Task 17/25]  Current/Best:   20.15/  23.17 GFLOPS | Progress: (12/20) | 10.27 s     [Task 17/25]  Current/Best:   12.28/  23.17 GFLOPS | Progress: (16/20) | 13.33 s     [Task 17/25]  Current/Best:   10.09/  23.17 GFLOPS | Progress: (20/20) | 16.44 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   10.22/  15.57 GFLOPS | Progress: (4/20) | 6.50 s     [Task 18/25]  Current/Best:   15.54/  15.57 GFLOPS | Progress: (8/20) | 15.73 s     [Task 18/25]  Current/Best:   12.20/  18.36 GFLOPS | Progress: (12/20) | 18.53 s     [Task 18/25]  Current/Best:   13.73/  18.36 GFLOPS | Progress: (16/20) | 21.24 s     [Task 18/25]  Current/Best:   11.14/  18.78 GFLOPS | Progress: (20/20) | 23.78 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   12.42/  20.70 GFLOPS | Progress: (4/20) | 5.41 s     [Task 19/25]  Current/Best:   21.52/  21.52 GFLOPS | Progress: (8/20) | 9.61 s     [Task 19/25]  Current/Best:    9.29/  22.32 GFLOPS | Progress: (12/20) | 12.10 s     [Task 19/25]  Current/Best:    5.95/  22.32 GFLOPS | Progress: (16/20) | 17.71 s     [Task 19/25]  Current/Best:   18.40/  22.32 GFLOPS | Progress: (20/20) | 20.31 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   17.33/  17.33 GFLOPS | Progress: (4/20) | 5.87 s     [Task 20/25]  Current/Best:   15.70/  19.62 GFLOPS | Progress: (8/20) | 9.24 s     [Task 20/25]  Current/Best:   14.10/  19.62 GFLOPS | Progress: (12/20) | 11.53 s     [Task 20/25]  Current/Best:    6.19/  19.62 GFLOPS | Progress: (16/20) | 13.92 s     [Task 20/25]  Current/Best:    1.57/  19.62 GFLOPS | Progress: (20/20) | 17.40 s Done.
+     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:    6.45/  13.08 GFLOPS | Progress: (4/20) | 13.50 s     [Task 21/25]  Current/Best:   22.24/  22.24 GFLOPS | Progress: (8/20) | 16.43 s     [Task 21/25]  Current/Best:    4.86/  22.24 GFLOPS | Progress: (12/20) | 25.13 s Done.
+     [Task 21/25]  Current/Best:   22.93/  22.93 GFLOPS | Progress: (16/20) | 36.31 s     [Task 21/25]  Current/Best:    9.95/  22.93 GFLOPS | Progress: (20/20) | 42.78 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:    6.22/  20.22 GFLOPS | Progress: (4/20) | 4.37 s     [Task 22/25]  Current/Best:   16.11/  20.22 GFLOPS | Progress: (8/20) | 9.03 s     [Task 22/25]  Current/Best:    3.42/  20.22 GFLOPS | Progress: (12/20) | 12.40 s     [Task 22/25]  Current/Best:    3.57/  20.24 GFLOPS | Progress: (16/20) | 15.73 s     [Task 22/25]  Current/Best:   15.85/  20.24 GFLOPS | Progress: (20/20) | 19.04 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   21.83/  21.83 GFLOPS | Progress: (4/20) | 6.09 s     [Task 23/25]  Current/Best:   21.05/  23.16 GFLOPS | Progress: (8/20) | 8.83 s     [Task 23/25]  Current/Best:   13.78/  23.16 GFLOPS | Progress: (12/20) | 11.81 s     [Task 23/25]  Current/Best:   10.38/  23.16 GFLOPS | Progress: (16/20) | 18.00 s     [Task 23/25]  Current/Best:   12.38/  23.16 GFLOPS | Progress: (20/20) | 21.72 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    4.13/   7.92 GFLOPS | Progress: (4/20) | 5.53 s     [Task 24/25]  Current/Best:    0.61/   7.92 GFLOPS | Progress: (8/20) | 16.58 s     [Task 24/25]  Current/Best:    7.65/   7.92 GFLOPS | Progress: (12/20) | 27.58 s     [Task 24/25]  Current/Best:   10.37/  10.37 GFLOPS | Progress: (16/20) | 39.72 s     [Task 24/25]  Current/Best:    9.55/  10.37 GFLOPS | Progress: (20/20) | 47.35 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    3.03/   9.17 GFLOPS | Progress: (4/20) | 4.06 s     [Task 25/25]  Current/Best:    7.21/   9.17 GFLOPS | Progress: (8/20) | 6.85 s     [Task 25/25]  Current/Best:    6.05/   9.17 GFLOPS | Progress: (12/20) | 10.87 s     [Task 25/25]  Current/Best:    1.53/   9.17 GFLOPS | Progress: (16/20) | 12.60 s     [Task 25/25]  Current/Best:    3.97/   9.17 GFLOPS | Progress: (20/2
 0) | 14.46 s Done.
 
 
 
@@ -671,6 +669,13 @@ model using optimized operators to speed up our computations.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+     Done.
+     Done.
+
 
 
 
@@ -761,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 380.26077891996465, 'median': 378.0417427999964, 'std': 3.7046695220821753}
-    unoptimized: {'mean': 465.9887958999934, 'median': 465.9427565999067, 'std': 0.5116720502973422}
+    optimized: {'mean': 401.719080460025, 'median': 401.17172640002536, 'std': 2.079854842565666}
+    unoptimized: {'mean': 492.3359014299058, 'median': 492.1134946498569, 'std': 1.4732773411501123}
 
 
 
@@ -785,7 +790,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 12 minutes  33.819 seconds)
+   **Total running time of the script:** ( 13 minutes  14.806 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 60aadf49d7..fcd74f9327 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
 
-    1.21e-07 secs/op
+    1.244e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 36dd6eefe1..ff65d84843 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, 0x1bb375d0)), stage(b, placeholder(b, 0xf3ee370)), 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, 0x12ac73c0)), stage(b, placeholder(b, 0x743a3a0)), 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 10e4582aa0..81a6c6eeea 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,32 +5,32 @@
 
 Computation times
 =================
-**16:22.921** total execution time for **tutorial** files:
+**17:01.072** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 12:33.819 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:14.806 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:41.346 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:40.356 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:58.442 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:57.598 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:42.150 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:43.431 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:25.281 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:22.631 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.860 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:01.179 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.855 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.901 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.167 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.169 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)                                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)                             | 00:00.000 | 0.0 MB |
-+------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)   | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)                           | 00:00.000 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_install.py` (``install.py``)                                     | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.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 bf48cf58d2..5a3cdbb8fd 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: 0.000006
-    naive: 0.000006
+    Numpy running time: 0.000007
+    naive: 0.000008
 
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000038
+    vector: 0.000040
     # from tvm.script import ir as I
     # from tvm.script import tir as T
 
@@ -498,10 +498,10 @@ We can now compare the different schedules
  .. code-block:: none
 
                 Operator                  Timing             Performance
-                   numpy    5.82772001507692e-06                     1.0
-                   naive              5.6012e-06      0.9611305940417711
-                parallel              7.0883e-06       1.216307575117169
-                  vector             3.79324e-05       6.508960605839835
+                   numpy    7.422949965985026e-06                    1.0
+                   naive              7.8984e-06      1.0640513591218692
+                parallel              7.1852e-06      0.9679709593794256
+                  vector             4.03107e-05       5.430549873664784
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.014395
+    Numpy running time: 0.017645
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.370865
+    none: 3.190353
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.285585
+    blocking: 0.291050
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.264004
+    vectorization: 0.265336
     # 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: 0.111536
+    loop permutation: 0.114129
     # 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: 0.104170
+    array packing: 0.106600
     # 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: 0.096268
+    block caching: 0.112000
     # 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: 0.113834
+    parallelization: 0.132028
     # 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      3.3708649303000002                     1.0
-                blocking             0.285584655     0.08472147680345755
-           vectorization     0.26400375119999997     0.07831929094130276
-        loop permutation            0.1115355138    0.033088099376937526
-           array packing     0.10417011070000001    0.030903080619943166
-           block caching            0.0962676911    0.028558750673950133
-         parallelization     0.11383386020000001     0.03376992628116637
+                    none            3.1903530391                     1.0
+                blocking            0.2910502169     0.09122821622967012
+           vectorization            0.2653364323     0.08316836069491905
+        loop permutation     0.11412917999999998    0.035773213372083695
+           array packing            0.1065997447    0.033413150016172455
+           block caching     0.11200030220000001     0.03510592740908553
+         parallelization            0.1320283717    0.041383624345613254
 
 
 
diff --git a/docs/commit_hash b/docs/commit_hash
index 0ccb6624d2..89405b5c94 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-4c45b828be94d7e13fb6f8f87cbdacb4c462bb93
+cb31cb3e4f06f4752df35ea3f0eb233634afc931
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 8bbf14cf22..ffab942269 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  33.400 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  33.257 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 2d5a7aef04..1c3f5b9caf 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,14 +468,14 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip&quot; to /workspace/.oneflow/flowvision_cache/resnet18.zip
 
   0%|          | 0.00/41.5M [00:00&lt;?, ?B/s]
- 15%|#5        | 6.33M/41.5M [00:00&lt;00:00, 39.8MB/s]
- 24%|##4       | 10.1M/41.5M [00:00&lt;00:00, 34.0MB/s]
- 35%|###4      | 14.3M/41.5M [00:00&lt;00:00, 34.7MB/s]
- 42%|####2     | 17.6M/41.5M [00:00&lt;00:00, 25.1MB/s]
- 58%|#####7    | 24.0M/41.5M [00:00&lt;00:00, 26.8MB/s]
- 77%|#######7  | 32.0M/41.5M [00:01&lt;00:00, 34.2MB/s]
- 92%|#########2| 38.3M/41.5M [00:01&lt;00:00, 34.8MB/s]
-100%|##########| 41.5M/41.5M [00:01&lt;00:00, 32.6MB/s]
+ 15%|#5        | 6.33M/41.5M [00:00&lt;00:00, 49.9MB/s]
+ 27%|##6       | 11.1M/41.5M [00:00&lt;00:00, 45.2MB/s]
+ 39%|###8      | 16.0M/41.5M [00:00&lt;00:00, 35.8MB/s]
+ 54%|#####3    | 22.3M/41.5M [00:00&lt;00:00, 44.4MB/s]
+ 65%|######4   | 26.9M/41.5M [00:00&lt;00:00, 41.1MB/s]
+ 81%|########  | 33.6M/41.5M [00:00&lt;00:00, 49.1MB/s]
+ 93%|#########2| 38.6M/41.5M [00:00&lt;00:00, 45.8MB/s]
+100%|##########| 41.5M/41.5M [00:00&lt;00:00, 45.1MB/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 12b26b40e5..b25e26341a 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,6 +503,7 @@ To begin, we’ll install PaddlePaddle&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  0.747 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 5853d8b06f..92545957f7 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 6d26ce1c15..b1f06e2253 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)
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diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
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@@ -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>
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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 4c8bf01507..35e636eeb7 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)
- 3994.8040    3994.7232    3998.6303    3991.1620      2.2297
+ 4124.5873    4124.9625    4128.7009    4120.1348      2.7887
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diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
index e752150b33..ec89cc8d75 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
@@ -458,27 +458,27 @@ to run this tutorial with a real device over rpc.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
 
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diff --git a/docs/how_to/deploy_models/deploy_model_on_android.html b/docs/how_to/deploy_models/deploy_model_on_android.html
index b0329d43a9..b555c3433a 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...
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-  14.1934      14.0274      14.8055      13.7444       0.3859
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diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
index 5829fa5c83..83a18b585f 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,41 +474,30 @@ be unstable.</p>
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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).
@@ -599,7 +588,7 @@ 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>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  35.193 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">
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 <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 b9e293411f..b1cba743a3 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,9 +515,9 @@ training. Other models require a full post training calibration.</p>
 Downloading: &quot;https://download.pytorch.org/models/mobilenet_v2-b0353104.pth&quot; to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
 
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- 90%|########9 | 12.2M/13.6M [00:00&lt;00:00, 37.8MB/s]
-100%|##########| 13.6M/13.6M [00:00&lt;00:00, 41.7MB/s]
+ 47%|####6     | 6.30M/13.6M [00:00&lt;00:00, 65.5MB/s]
+ 93%|#########2| 12.6M/13.6M [00:00&lt;00:00, 54.5MB/s]
+100%|##########| 13.6M/13.6M [00:00&lt;00:00, 59.4MB/s]
 </pre></div>
 </div>
 </div>
@@ -608,7 +608,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  86.1414      86.1025      86.7529      85.7265       0.1959
+  89.8883      89.4781      102.6427     88.8984       1.7889
 </pre></div>
 </div>
 <div class="admonition note">
@@ -647,7 +647,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
 <div class="section" id="deploy-a-quantized-tflite-model">
 <h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
 <p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  27.406 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  28.571 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/fb8217c13f4351224c6cf3aacf1a87fc/deploy_prequantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_prequantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_prequantized_tflite.html b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
index 825ad1daad..c89692893b 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)
-  110.9054     111.0173     113.3557     108.5058      1.0683
+  106.9340     106.6354     111.6935     105.6535      1.1127
 </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 b66f1e6a5e..d6d2594674 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>09:35.113</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:50.733</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>03:25.837</p></td>
+<td><p>03:35.193</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>01:27.406</p></td>
+<td><p>01:28.571</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>01:17.603</p></td>
+<td><p>01:19.419</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>00:50.799</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
+<td><p>00:50.955</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>00:49.892</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
+<td><p>00:50.511</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>00:45.633</p></td>
+<td><p>00:46.111</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>00:29.039</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
+<td><p>00:30.140</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>00:28.897</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
+<td><p>00:29.826</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>00:00.007</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 d3a41b42a4..d7f841ef75 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:04.014</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:03.938</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>00:02.789</p></td>
+<td><p>00:02.743</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>00:01.217</p></td>
+<td><p>00:01.188</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 b54904cb88..e647bfe014 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: 25085us [25085us] (48.38%; 48.38%)
-FoldScaleAxis: 26766us [10us] (51.62%; 51.62%)
-        FoldConstant: 26756us [1794us] (51.60%; 99.96%)
-                InferType: 24963us [24963us] (48.14%; 93.30%)
+InferType: 25801us [25801us] (48.80%; 48.80%)
+FoldScaleAxis: 27067us [7us] (51.20%; 51.20%)
+        FoldConstant: 27060us [1812us] (51.18%; 99.97%)
+                InferType: 25247us [25247us] (47.76%; 93.30%)
 </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: 24726us [24726us] (47.99%; 47.99%)
-FoldScaleAxis: 26793us [8us] (52.01%; 52.01%)
-        FoldConstant: 26785us [1782us] (51.99%; 99.97%)
-                InferType: 25002us [25002us] (48.53%; 93.35%)
+InferType: 24785us [24785us] (48.44%; 48.44%)
+FoldScaleAxis: 26376us [6us] (51.56%; 51.56%)
+        FoldConstant: 26371us [1693us] (51.54%; 99.98%)
+                InferType: 24677us [24677us] (48.23%; 93.58%)
 </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 709a643ed8..6fe4751516 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: 53.503166 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 45.117504 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 30076787f5..131aaa7c6b 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: 11.477622 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.271840 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 0b56c8b265..8f16c48024 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: 0.014473
-Baseline: 3.394985
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018151
+Baseline: 3.412903
 </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: 0.288619
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.304988
 </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: 0.260587
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.283826
 </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: 0.109850
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.116165
 </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: 0.103899
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.108551
 </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: 0.096704
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112217
 </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: 0.115262
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.133306
 </pre></div>
 </div>
 <p>Here is the generated IR after parallelization.</p>
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 <span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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@@ -603,8 +603,8 @@ objects to other stuff? We can display some examples from our datasets using <co
     <span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">&quot;off&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<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/tmpx_epdnv1/images/target contains 8144 images
-/tmp/tmpx_epdnv1/images/random contains 5000 images
+<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/tmp1dv0m_hz/images/target contains 8144 images
+/tmp/tmp1dv0m_hz/images/random contains 5000 images
 </pre></div>
 </div>
 </div>
@@ -716,13 +716,13 @@ the time on our validation set).</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Epoch 1/3
-328/328 - 37s - loss: 0.2406 - accuracy: 0.9181 - val_loss: 0.1000 - val_accuracy: 0.9637 - 37s/epoch - 114ms/step
+328/328 - 39s - loss: 0.2310 - accuracy: 0.9208 - val_loss: 0.1101 - val_accuracy: 0.9641 - 39s/epoch - 119ms/step
 Epoch 2/3
-328/328 - 34s - loss: 0.1007 - accuracy: 0.9628 - val_loss: 0.1101 - val_accuracy: 0.9573 - 34s/epoch - 105ms/step
+328/328 - 35s - loss: 0.1008 - accuracy: 0.9625 - val_loss: 0.1020 - val_accuracy: 0.9626 - 35s/epoch - 108ms/step
 Epoch 3/3
-328/328 - 34s - loss: 0.0707 - accuracy: 0.9736 - val_loss: 0.0997 - val_accuracy: 0.9660 - 34s/epoch - 105ms/step
+328/328 - 35s - loss: 0.0636 - accuracy: 0.9763 - val_loss: 0.1051 - val_accuracy: 0.9649 - 35s/epoch - 108ms/step
 
-&lt;keras.callbacks.History object at 0x7fb99f4afc40&gt;
+&lt;keras.callbacks.History object at 0x7f4051b78b80&gt;
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 </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>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes  54.151 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes  42.594 seconds)</p>
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+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
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 <tr class="row-even"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
-<td><p>00:07.110</p></td>
+<td><p>00:07.170</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">7. Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_relay/sg_execution_times.html b/docs/how_to/work_with_relay/sg_execution_times.html
index 8b2935db1b..9ee592b86b 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>00:36.376</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:37.473</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
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@@ -369,19 +369,19 @@
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-<td><p>00:02.997</p></td>
+<td><p>00:03.052</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></td>
-<td><p>00:01.577</p></td>
+<td><p>00:01.740</p></td>
 <td><p>0.0 MB</p></td>
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-<td><p>00:00.007</p></td>
+<td><p>00:00.006</p></td>
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diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 6b1bbd22a6..fda15163b5 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">= [...]
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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 0x7fbe639ca0d0&gt;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&lt;function my_cuda_math_rule at 0x7f40f9b14790&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 cfb15ef27e..3ab27bd76a 100644
--- a/docs/how_to/work_with_schedules/sg_execution_times.html
+++ b/docs/how_to/work_with_schedules/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-work-with-schedules-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:04.537</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
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 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,35 +369,35 @@
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 <tr class="row-odd"><td><p><a class="reference internal" href="intrin_math.html#sphx-glr-how-to-work-with-schedules-intrin-math-py"><span class="std std-ref">Intrinsics and Math Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">intrin_math.py</span></code>)</p></td>
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-<td><p>00:00.663</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tensorize.html#sphx-glr-how-to-work-with-schedules-tensorize-py"><span class="std std-ref">Use Tensorize to Leverage Hardware Intrinsics</span></a> (<code class="docutils literal notranslate"><span class="pre">tensorize.py</span></code>)</p></td>
+<td><p>00:00.921</p></td>
 <td><p>0.0 MB</p></td>
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-<tr class="row-odd"><td><p><a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></td>
-<td><p>00:00.648</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="reduction.html#sphx-glr-how-to-work-with-schedules-reduction-py"><span class="std std-ref">Reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">reduction.py</span></code>)</p></td>
+<td><p>00:00.680</p></td>
 <td><p>0.0 MB</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="tensorize.html#sphx-glr-how-to-work-with-schedules-tensorize-py"><span class="std std-ref">Use Tensorize to Leverage Hardware Intrinsics</span></a> (<code class="docutils literal notranslate"><span class="pre">tensorize.py</span></code>)</p></td>
-<td><p>00:00.639</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></td>
+<td><p>00:00.675</p></td>
 <td><p>0.0 MB</p></td>
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+<td><p>00:00.122</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
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+<td><p>00:00.071</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></td>
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+<td><p>00:00.067</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tuple_inputs.html#sphx-glr-how-to-work-with-schedules-tuple-inputs-py"><span class="std std-ref">Compute and Reduce with Tuple Inputs</span></a> (<code class="docutils literal notranslate"><span class="pre">tuple_inputs.py</span></code>)</p></td>
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diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index 3d1a2fab5d..3c82fdcec7 100644
--- a/docs/reference/api/python/auto_scheduler.html
+++ b/docs/reference/api/python/auto_scheduler.html
@@ -1637,7 +1637,7 @@ history states as starting point to perform Evolutionary Search).</p></li>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.SketchPolicy">
-<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
 The policy randomly samples programs from the space defined by sketches and use evolutionary
 search to fine-tune them.</p>
@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
-<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
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 <p>Run auto scheduling search for a task.</p>
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diff --git a/docs/reference/api/typedoc/classes/ArtifactCache.html b/docs/reference/api/typedoc/classes/ArtifactCache.html
index 9dd877a748..5a5d7f65ae 100644
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@@ -27,7 +27,7 @@
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1001">runtime.ts:1001</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1005">runtime.ts:1005</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="addToCache" class="tsd-anchor"></a>
@@ -76,7 +76,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#addToCache">addToCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -92,7 +92,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -108,7 +108,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1009">runtime.ts:1009</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1009">runtime.ts:1009</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -124,7 +124,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1036">runtime.ts:1036</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1036">runtime.ts:1036</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index c90635fa76..a07db185cd 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L411">runtime.ts:411</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L411">runtime.ts:411</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
 <h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L419">runtime.ts:419</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L419">runtime.ts:419</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -71,21 +71,21 @@
 <div class="tsd-comment tsd-typography"><p>Number of bits in the data type.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The type code</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L413">runtime.ts:413</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L413">runtime.ts:413</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>Number of vector lanes.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L417">runtime.ts:417</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L417">runtime.ts:417</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L434">runtime.ts:434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L434">runtime.ts:434</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -103,7 +103,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index 2b3d8b834d..02a37b9caa 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/4c45b828b/web/src/runtime.ts#L351">runtime.ts:351</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L351">runtime.ts:351</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@
 <h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L359">runtime.ts:359</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L359">runtime.ts:359</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
 <div class="tsd-comment tsd-typography"><p>The device index.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L355">runtime.ts:355</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L355">runtime.ts:355</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The device type code of the device.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L353">runtime.ts:353</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L353">runtime.ts:353</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L378">runtime.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L378">runtime.ts:378</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -97,7 +97,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L385">runtime.ts:385</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L385">runtime.ts:385</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index 5a3570fe6d..6347e4f0fa 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/4c45b828b/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -145,24 +145,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1103">runtime.ts:1103</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1103">runtime.ts:1103</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1075">runtime.ts:1075</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1075">runtime.ts:1075</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1074">runtime.ts:1074</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1074">runtime.ts:1074</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1073">runtime.ts:1073</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1073">runtime.ts:1073</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -198,7 +198,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1870">runtime.ts:1870</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1870">runtime.ts:1870</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -223,7 +223,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1857">runtime.ts:1857</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1857">runtime.ts:1857</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -244,7 +244,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1887">runtime.ts:1887</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1887">runtime.ts:1887</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -261,7 +261,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncifyEnabled" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>asyncify<wbr/>Enabled</span><a href="#asyncifyEnabled" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -272,7 +272,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The asynctify mode toggle</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1171">runtime.ts:1171</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1171">runtime.ts:1171</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -299,7 +299,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1236">runtime.ts:1236</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1236">runtime.ts:1236</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -309,7 +309,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -344,7 +344,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1146">runtime.ts:1146</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1146">runtime.ts:1146</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -361,7 +361,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1895">runtime.ts:1895</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1895">runtime.ts:1895</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -371,7 +371,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1926">runtime.ts:1926</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1926">runtime.ts:1926</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -388,7 +388,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1737">runtime.ts:1737</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1737">runtime.ts:1737</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -406,7 +406,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1414">runtime.ts:1414</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1414">runtime.ts:1414</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -432,7 +432,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1263">runtime.ts:1263</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1263">runtime.ts:1263</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -454,7 +454,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1729">runtime.ts:1729</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1729">runtime.ts:1729</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -467,7 +467,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1175">runtime.ts:1175</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1175">runtime.ts:1175</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -493,7 +493,7 @@ only the first call will take effect.</p>
 <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/4c45b828b/web/src/runtime.ts#L1757">runtime.ts:1757</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1757">runtime.ts:1757</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -506,7 +506,7 @@ a value to parent scope.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1206">runtime.ts:1206</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1206">runtime.ts:1206</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -532,7 +532,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span></h4><p>The meta data</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1505">runtime.ts:1505</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1505">runtime.ts:1505</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -550,7 +550,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1351">runtime.ts:1351</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1351">runtime.ts:1351</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -571,7 +571,7 @@ a value to parent scope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1442">runtime.ts:1442</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1442">runtime.ts:1442</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -589,7 +589,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1453">runtime.ts:1453</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1453">runtime.ts:1453</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -606,7 +606,7 @@ a value to parent scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L2152">runtime.ts:2152</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2152">runtime.ts:2152</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -624,7 +624,7 @@ a value to parent scope.</p>
 <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/4c45b828b/web/src/runtime.ts#L1386">runtime.ts:1386</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1386">runtime.ts:1386</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -635,7 +635,7 @@ a value to parent scope.</p>
 <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/4c45b828b/web/src/runtime.ts#L1279">runtime.ts:1279</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1279">runtime.ts:1279</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -653,7 +653,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>The created shape tuple.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -671,7 +671,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><p>The result TVMString.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1951">runtime.ts:1951</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1951">runtime.ts:1951</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -691,7 +691,7 @@ and needs to b explicitly disposed.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><p>The result array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1939">runtime.ts:1939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1939">runtime.ts:1939</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -716,7 +716,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>The input obj.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1249">runtime.ts:1249</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1249">runtime.ts:1249</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -726,7 +726,7 @@ alive when exit the current scope.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1493">runtime.ts:1493</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1493">runtime.ts:1493</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -744,7 +744,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1466">runtime.ts:1466</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1466">runtime.ts:1466</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -762,7 +762,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1475">runtime.ts:1475</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1475">runtime.ts:1475</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -785,7 +785,7 @@ alive when exit the current scope.</p>
 <h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1484">runtime.ts:1484</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1484">runtime.ts:1484</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -813,7 +813,7 @@ These functions contains explicit continuation</p>
 </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/4c45b828b/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncifyFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Asyncify<wbr/>Func</span><a href="#registerAsyncifyFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -852,7 +852,7 @@ The wasm needs to be compiled with Asynctify</p>
 </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/4c45b828b/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -875,7 +875,7 @@ The wasm needs to be compiled with Asynctify</p>
 </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/4c45b828b/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -892,7 +892,7 @@ The wasm needs to be compiled with Asynctify</p>
 </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/4c45b828b/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -917,7 +917,7 @@ The wasm needs to be compiled with Asynctify</p>
 </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/4c45b828b/web/src/runtime.ts#L1997">runtime.ts:1997</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1997">runtime.ts:1997</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -927,7 +927,7 @@ The wasm needs to be compiled with Asynctify</p>
 </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/4c45b828b/web/src/runtime.ts#L1184">runtime.ts:1184</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1184">runtime.ts:1184</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -953,7 +953,7 @@ The wasm needs to be compiled with Asynctify</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The sampled index.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1836">runtime.ts:1836</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1836">runtime.ts:1836</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -975,7 +975,7 @@ The wasm needs to be compiled with Asynctify</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The sampled index.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1719">runtime.ts:1719</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2290">runtime.ts:2290</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1824">runtime.ts:1824</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
 <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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@@ -1059,7 +1059,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1904">runtime.ts:1904</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
 <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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@@ -1071,7 +1071,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1272">runtime.ts:1272</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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@@ -1089,7 +1089,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1673">runtime.ts:1673</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1673">runtime.ts:1673</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1107,7 +1107,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1397">runtime.ts:1397</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1397">runtime.ts:1397</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1125,7 +1125,7 @@ System lib is a global module that contains self register functions in startup.<
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1969">runtime.ts:1969</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1969">runtime.ts:1969</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1155,7 +1155,7 @@ 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/4c45b828b/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1172,7 +1172,7 @@ System lib is a global module that contains self register functions in startup.<
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 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1205,7 +1205,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapAsyncifyPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Asyncify<wbr/>Packed<wbr/>Func</span><a href="#wrapAsyncifyPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1228,7 +1228,7 @@ to make sure you use await when calling the funciton.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L2024">runtime.ts:2024</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/LinearCongruentialGenerator.html b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
index 9ab06e85f0..298118397c 100644
--- a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
+++ b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
@@ -26,7 +26,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
 <ul class="tsd-hierarchy">
 <li><span class="target">LinearCongruentialGenerator</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L87">support.ts:87</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L87">support.ts:87</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">
@@ -59,24 +59,24 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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 <h4 class="tsd-returns-title">Returns <a href="LinearCongruentialGenerator.html" class="tsd-signature-type tsd-kind-class">LinearCongruentialGenerator</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L97">support.ts:97</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L97">support.ts:97</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="increment" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>increment</span><a href="#increment" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">increment</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="modulus" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>modulus</span><a href="#modulus" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">modulus</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="multiplier" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>multiplier</span><a href="#multiplier" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="nextInt" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L126">support.ts:126</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L126">support.ts:126</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="randomFloat" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>random<wbr/>Float</span><a href="#randomFloat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -100,7 +100,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/support.ts#L140">support.ts:140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L140">support.ts:140</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>set<wbr/>Seed</span><a href="#setSeed" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
 </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/4c45b828b/web/src/support.ts#L110">support.ts:110</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/support.ts#L110">support.ts:110</a></li></ul></aside></li></ul></section></section></div>
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 1ab2ccf6c4..6a62efa953 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
@@ -27,7 +27,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L699">runtime.ts:699</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L699">runtime.ts:699</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L704">runtime.ts:704</a></li></ul></aside></li></ul></section></section>
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@@ -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/4c45b828b/web/src/runtime.ts#L714">runtime.ts:714</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L714">runtime.ts:714</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L742">runtime.ts:742</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/cb31cb3e4/web/src/runtime.ts#L729">runtime.ts:729</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
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@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L776">runtime.ts:776</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index 4affe2bd13..13c61b9255 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L462">runtime.ts:462</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/4c45b828b/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L450">runtime.ts:450</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L450">runtime.ts:450</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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@@ -134,7 +134,7 @@ The number of elements must match.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L562">runtime.ts:562</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L562">runtime.ts:562</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -152,7 +152,7 @@ The number of elements must match.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L606">runtime.ts:606</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L606">runtime.ts:606</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -165,7 +165,7 @@ only the first call will take effect.</p>
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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/4c45b828b/web/src/runtime.ts#L547">runtime.ts:547</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L547">runtime.ts:547</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -176,7 +176,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L540">runtime.ts:540</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L540">runtime.ts:540</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -194,7 +194,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L528">runtime.ts:528</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L528">runtime.ts:528</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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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/4c45b828b/web/src/runtime.ts#L672">runtime.ts:672</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L672">runtime.ts:672</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L641">runtime.ts:641</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -235,7 +235,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L517">runtime.ts:517</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
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--- a/docs/reference/api/typedoc/classes/RPCServer.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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@@ -113,12 +113,12 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="key" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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>
 <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>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>state</span><a href="#state" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">state</span><span class="tsd-signature-symbol">:</span> <a href="../enums/_internal_.RPCServerState.html" class="tsd-signature-type tsd-kind-enum">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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>
 <h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">url</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 672df2c52c..775f972c54 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/4c45b828b/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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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/4c45b828b/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
 <div class="tsd-comment tsd-typography"><p>The data type of the scalar.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The value.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside></section></section></div>
 <div class="col-sidebar">
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 498951d537..54112b5c07 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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 <li><span class="target">TVMArray</span></li></ul></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L873">runtime.ts:873</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L873">runtime.ts:873</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
 <h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><aside class="tsd-sources">
 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L874">runtime.ts:874</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L874">runtime.ts:874</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/_internal_.TVMObjectBase.html" class="tsd-signature-type tsd-kind-type-alias">TVMObjectBase</a></h4><p>The element.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L893">runtime.ts:893</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L893">runtime.ts:893</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
 <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/4c45b828b/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>the size of the array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L885">runtime.ts:885</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L885">runtime.ts:885</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -147,7 +147,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index cc5c4813fe..209c9d9b70 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -30,7 +30,7 @@
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L789">runtime.ts:789</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L789">runtime.ts:789</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -65,7 +65,7 @@
 <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/4c45b828b/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -98,7 +98,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
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@@ -118,7 +118,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index 280d69d044..940c2b1e5f 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
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@@ -68,7 +68,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L935">runtime.ts:935</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>
@@ -83,7 +83,7 @@ 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/4c45b828b/web/src/runtime.ts#L948">runtime.ts:948</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L948">runtime.ts:948</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -101,7 +101,7 @@ 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/4c45b828b/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
index 3f64e021e0..c7ae92a4f9 100644
--- a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
+++ b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
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@@ -57,7 +57,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L58">asyncify.ts:58</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L58">asyncify.ts:58</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="enabled" class="tsd-anchor"></a>
@@ -70,7 +70,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getState" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>State</span><a href="#getState" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -81,7 +81,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapExport" class="tsd-anchor"></a>
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@@ -124,7 +124,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapImport" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Import</span><a href="#wrapImport" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -167,7 +167,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L88">asyncify.ts:88</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L88">asyncify.ts:88</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/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index facfc7214e..279ae47e42 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>
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -86,7 +86,7 @@ can still call into storeXX</li>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/web/src/memory.ts#L225">memory.ts:225</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="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
 <div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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>
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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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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>
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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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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.</
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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/4c45b828b/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/cb31cb3e4/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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 5cebbc3e6c..22667422cd 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/4c45b828b/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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 e235df2270..a72dfea859 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/4c45b828b/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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 f8e59b94dd..ef72c474bf 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/4c45b828b/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
 <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/4c45b828b/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L55">runtime.ts:55</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L55">runtime.ts:55</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L54">runtime.ts:54</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L54">runtime.ts:54</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L53">runtime.ts:53</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L53">runtime.ts:53</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -106,7 +106,7 @@
 <h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L75">runtime.ts:75</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L75">runtime.ts:75</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -127,7 +127,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L94">runtime.ts:94</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L94">runtime.ts:94</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -140,7 +140,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L105">runtime.ts:105</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L105">runtime.ts:105</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -148,7 +148,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L82">runtime.ts:82</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L82">runtime.ts:82</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index d4c03bb568..c8d15de06d 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/4c45b828b/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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 @@
 </div></li></ul></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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/cb31cb3e4/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/cb31cb3e4/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/cb31cb3e4/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L308">runtime.ts:308</a></li></ul></aside></li></ul></section></section>
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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/4c45b828b/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L322">runtime.ts:322</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L175">runtime.ts:175</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="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <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>
 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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">array<wbr/>Cache<wbr/>Get</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/4c45b828b/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
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 <h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Item</span><a href="#arrayGetItem" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/4c45b828b/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
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 <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/4c45b828b/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
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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/4c45b828b/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
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 <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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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">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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
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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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Prob</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -233,7 +233,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L221">runtime.ts:221</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L266">runtime.ts:266</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L266">runtime.ts:266</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -264,7 +264,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L198">runtime.ts:198</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -272,7 +272,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L225">runtime.ts:225</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -290,7 +290,7 @@ only the first call will take effect.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L256">runtime.ts:256</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 2c34d1de76..8f264b75ea 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L899">runtime.ts:899</a></li></ul></aside>
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 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/runtime.ts#L900">runtime.ts:900</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L900">runtime.ts:900</a></li></ul></aside></li></ul></section></section>
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@@ -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/4c45b828b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L911">runtime.ts:911</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 7bebf45a09..136ee6790c 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
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 <li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
 <h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/4c45b828b/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/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/cb31cb3e4/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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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>
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@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/cb31cb3e4/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/4c45b828b/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/cb31cb3e4/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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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
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 <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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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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_.AsyncifyStateKind.html b/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
index e920ef04fd..1d6bfe8874 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/4c45b828b/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/asyncify.ts#L31">asyncify.ts:31</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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index ca2c193d4a..151bf83ca5 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L990">runtime.ts:990</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L993">runtime.ts:993</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></section></section></div>
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index 893f112db2..263cdbedb2 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/cb31cb3e4/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/artifact_cache.ts#L41">artifact_cache.ts:41</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/artifact_cache.ts#L36">artifact_cache.ts:36</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/cb31cb3e4/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/cb31cb3e4/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/cb31cb3e4/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/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/cb31cb3e4/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/cb31cb3e4/web/src/runtime.ts#L986">runtime.ts:986</a></li></ul></aside></section></section></div>
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diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index c667cefcee..e5ae7a9308 100644
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+++ 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>
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   warnings.warn(
-yolov3-tiny inference graph built in 26.82s!
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index 12fcdef76b..74bdd64dd9 100644
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 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="matrix_multiply_opt.html#sphx-glr-topic-vta-tutorials-optimize-matrix-multiply-opt-py"><span class="std std-ref">Matrix Multiply Blocking</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply_opt.py</span></code>)</p></td>
-<td><p>00:00.434</p></td>
+<td><p>00:00.435</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/topic/vta/tutorials/sg_execution_times.html b/docs/topic/vta/tutorials/sg_execution_times.html
index 0a10b35773..3c93b74db4 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:00.681</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.687</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 81%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="matrix_multiply.html#sphx-glr-topic-vta-tutorials-matrix-multiply-py"><span class="std std-ref">Simple Matrix Multiply</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply.py</span></code>)</p></td>
-<td><p>00:00.356</p></td>
+<td><p>00:00.357</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="vta_get_started.html#sphx-glr-topic-vta-tutorials-vta-get-started-py"><span class="std std-ref">Get Started with VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">vta_get_started.py</span></code>)</p></td>
-<td><p>00:00.325</p></td>
+<td><p>00:00.330</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/tutorial/auto_scheduler_matmul_x86.html b/docs/tutorial/auto_scheduler_matmul_x86.html
index 1c4a1fa970..f9d8dae6cd 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -589,7 +589,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.165 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 96.699 ms
 </pre></div>
 </div>
 </div>
@@ -661,7 +661,7 @@ 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  41.346 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.356 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-auto-scheduler-matmul-x86-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/eac4389b114db015e95cb3cdf8b86b83/auto_scheduler_matmul_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">auto_scheduler_matmul_x86.py</span></code></a></p>
diff --git a/docs/tutorial/autotvm_matmul_x86.html b/docs/tutorial/autotvm_matmul_x86.html
index 9b4e837e31..e89b37b93d 100644
--- a/docs/tutorial/autotvm_matmul_x86.html
+++ b/docs/tutorial/autotvm_matmul_x86.html
@@ -700,16 +700,16 @@ reduce variance, we take 5 measurements and average them.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>waiting for device...
 device available
 Get devices for measurement successfully!
-No: 1   GFLOPS: 8.49/8.49       result: MeasureResult(costs=(0.0316075202,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7877602577209473, timestamp=1711677287.9453998)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 8])],None,34
-No: 2   GFLOPS: 9.08/9.08       result: MeasureResult(costs=(0.029573558399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7501680850982666, timestamp=1711677288.678304)        [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 8])],None,33
-No: 3   GFLOPS: 10.94/10.94     result: MeasureResult(costs=(0.024542629,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6879727840423584, timestamp=1711677289.3295395)        [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 16])],None,43
-No: 4   GFLOPS: 11.97/11.97     result: MeasureResult(costs=(0.0224297846,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6493852138519287, timestamp=1711677289.9471407)       [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 32])],None,55
-No: 5   GFLOPS: 11.87/11.97     result: MeasureResult(costs=(0.0226196184,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6500256061553955, timestamp=1711677290.7102478)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 256])],None,86
-No: 6   GFLOPS: 8.65/11.97      result: MeasureResult(costs=(0.031022206999999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7760796546936035, timestamp=1711677291.4649262)       [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 8])],None,32
-No: 7   GFLOPS: 4.13/11.97      result: MeasureResult(costs=(0.0649207804,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3153166770935059, timestamp=1711677292.765976)        [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 2])],None,13
-No: 8   GFLOPS: 1.05/11.97      result: MeasureResult(costs=(0.2563446394,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.3548314571380615, timestamp=1711677297.1232872)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 2])],None,16
-No: 9   GFLOPS: 9.61/11.97      result: MeasureResult(costs=(0.0279361502,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6717863082885742, timestamp=1711677297.903761)        [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 64])],None,61
-No: 10  GFLOPS: 0.53/11.97      result: MeasureResult(costs=(0.5106991784,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.399804592132568, timestamp=1711677306.3405268)        [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 1])],None,5
+No: 1   GFLOPS: 9.66/9.66       result: MeasureResult(costs=(0.027802284200000006,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7025442123413086, timestamp=1711694349.2623203)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 32])],None,59
+No: 2   GFLOPS: 14.21/14.21     result: MeasureResult(costs=(0.0188904186,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5692882537841797, timestamp=1711694349.819467)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 32])],None,54
+No: 3   GFLOPS: 6.17/14.21      result: MeasureResult(costs=(0.0435013594,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.9639706611633301, timestamp=1711694350.7750618)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 4])],None,24
+No: 4   GFLOPS: 3.65/14.21      result: MeasureResult(costs=(0.07348412359999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4285051822662354, timestamp=1711694352.2034345)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 8])],None,38
+No: 5   GFLOPS: 1.02/14.21      result: MeasureResult(costs=(0.2621264304,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.470736742019653, timestamp=1711694356.8064315)        [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 2])],None,17
+No: 6   GFLOPS: 9.78/14.21      result: MeasureResult(costs=(0.0274549884,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.691281795501709, timestamp=1711694357.5057647)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 512])],None,90
+No: 7   GFLOPS: 13.33/14.21     result: MeasureResult(costs=(0.020136732,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.590440034866333, timestamp=1711694358.0841887) [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 64])],None,68
+No: 8   GFLOPS: 10.50/14.21     result: MeasureResult(costs=(0.025576597200000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7026963233947754, timestamp=1711694358.7496674)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 32])],None,53
+No: 9   GFLOPS: 1.33/14.21      result: MeasureResult(costs=(0.20163855599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.4417378902435303, timestamp=1711694362.3135157)        [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 1])],None,1
+No: 10  GFLOPS: 1.65/14.21      result: MeasureResult(costs=(0.1629446838,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.8428046703338623, timestamp=1711694365.1874688)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 1])],None,4
 </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 20aa6ebf7b..698711c004 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;: 465.9887958999934, &#39;median&#39;: 465.9427565999067, &#39;std&#39;: 0.5116720502973422}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 492.3359014299058, &#39;median&#39;: 492.1134946498569, &#39;std&#39;: 1.4732773411501123}
 </pre></div>
 </div>
 </div>
@@ -767,179 +767,177 @@ depending on the specifics of the model and the target platform.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  1/25]  Current/Best:   14.57/  24.36 GFLOPS | Progress: (4/20) | 8.97 s
-[Task  1/25]  Current/Best:    7.40/  24.36 GFLOPS | Progress: (8/20) | 12.47 s
-[Task  1/25]  Current/Best:   15.05/  24.36 GFLOPS | Progress: (12/20) | 15.83 s
-[Task  1/25]  Current/Best:    9.78/  24.36 GFLOPS | Progress: (16/20) | 18.57 s
-[Task  1/25]  Current/Best:   18.49/  24.36 GFLOPS | Progress: (20/20) | 21.91 s Done.
+[Task  1/25]  Current/Best:    6.54/  23.56 GFLOPS | Progress: (4/20) | 8.97 s
+[Task  1/25]  Current/Best:   11.28/  23.56 GFLOPS | Progress: (8/20) | 11.41 s
+[Task  1/25]  Current/Best:    1.92/  23.56 GFLOPS | Progress: (12/20) | 16.54 s
+[Task  1/25]  Current/Best:   12.02/  23.56 GFLOPS | Progress: (16/20) | 20.47 s
+[Task  1/25]  Current/Best:   18.12/  23.56 GFLOPS | Progress: (20/20) | 23.09 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   15.17/  18.62 GFLOPS | Progress: (4/20) | 3.98 s
-[Task  2/25]  Current/Best:   20.97/  20.97 GFLOPS | Progress: (8/20) | 5.34 s
-[Task  2/25]  Current/Best:   20.00/  20.97 GFLOPS | Progress: (12/20) | 6.82 s
-[Task  2/25]  Current/Best:    7.07/  20.97 GFLOPS | Progress: (16/20) | 8.43 s
-[Task  2/25]  Current/Best:   14.15/  20.97 GFLOPS | Progress: (20/20) | 9.93 s Done.
+[Task  2/25]  Current/Best:    7.45/  10.94 GFLOPS | Progress: (4/20) | 4.43 s
+[Task  2/25]  Current/Best:   16.62/  16.62 GFLOPS | Progress: (8/20) | 6.08 s
+[Task  2/25]  Current/Best:   13.45/  18.90 GFLOPS | Progress: (12/20) | 7.77 s
+[Task  2/25]  Current/Best:   19.89/  19.89 GFLOPS | Progress: (16/20) | 9.05 s
+[Task  2/25]  Current/Best:   14.92/  19.89 GFLOPS | Progress: (20/20) | 10.79 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:    8.41/  20.29 GFLOPS | Progress: (4/20) | 5.31 s
-[Task  3/25]  Current/Best:   11.81/  25.03 GFLOPS | Progress: (8/20) | 7.20 s
-[Task  3/25]  Current/Best:   23.85/  25.03 GFLOPS | Progress: (12/20) | 9.35 s
-[Task  3/25]  Current/Best:   11.51/  25.03 GFLOPS | Progress: (16/20) | 11.43 s
-[Task  3/25]  Current/Best:    5.94/  25.03 GFLOPS | Progress: (20/20) | 13.86 s Done.
+[Task  3/25]  Current/Best:   12.96/  14.61 GFLOPS | Progress: (4/20) | 4.96 s
+[Task  3/25]  Current/Best:   10.44/  19.99 GFLOPS | Progress: (8/20) | 7.23 s
+[Task  3/25]  Current/Best:    5.39/  20.72 GFLOPS | Progress: (12/20) | 9.90 s
+[Task  3/25]  Current/Best:   20.86/  23.20 GFLOPS | Progress: (16/20) | 11.90 s
+[Task  3/25]  Current/Best:    6.61/  23.20 GFLOPS | Progress: (20/20) | 15.42 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:   20.56/  20.56 GFLOPS | Progress: (4/20) | 4.12 s
-[Task  4/25]  Current/Best:    5.57/  20.56 GFLOPS | Progress: (8/20) | 8.08 s
-[Task  4/25]  Current/Best:   17.59/  20.56 GFLOPS | Progress: (12/20) | 12.13 s
-[Task  4/25]  Current/Best:   16.38/  23.57 GFLOPS | Progress: (16/20) | 13.70 s
-[Task  4/25]  Current/Best:   10.86/  23.57 GFLOPS | Progress: (20/20) | 16.59 s Done.
+[Task  4/25]  Current/Best:   11.61/  13.17 GFLOPS | Progress: (4/20) | 7.87 s
+[Task  4/25]  Current/Best:   12.76/  14.41 GFLOPS | Progress: (8/20) | 10.94 s
+[Task  4/25]  Current/Best:    7.95/  17.80 GFLOPS | Progress: (12/20) | 13.59 s
+[Task  4/25]  Current/Best:   15.45/  17.80 GFLOPS | Progress: (16/20) | 18.07 s
+[Task  4/25]  Current/Best:   17.77/  17.80 GFLOPS | Progress: (20/20) | 19.81 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:   12.84/  18.08 GFLOPS | Progress: (4/20) | 4.86 s
-[Task  5/25]  Current/Best:   17.82/  18.08 GFLOPS | Progress: (8/20) | 7.00 s
-[Task  5/25]  Current/Best:   18.02/  23.60 GFLOPS | Progress: (12/20) | 8.76 s
-[Task  5/25]  Current/Best:   12.70/  23.60 GFLOPS | Progress: (16/20) | 11.01 s
-[Task  5/25]  Current/Best:   14.77/  23.60 GFLOPS | Progress: (20/20) | 13.36 s Done.
+[Task  5/25]  Current/Best:    9.08/  17.83 GFLOPS | Progress: (4/20) | 4.57 s
+[Task  5/25]  Current/Best:   20.03/  20.50 GFLOPS | Progress: (8/20) | 7.19 s
+[Task  5/25]  Current/Best:    5.81/  20.50 GFLOPS | Progress: (12/20) | 9.17 s
+[Task  5/25]  Current/Best:    3.21/  20.50 GFLOPS | Progress: (16/20) | 11.28 s
+[Task  5/25]  Current/Best:   14.79/  20.50 GFLOPS | Progress: (20/20) | 13.65 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:    5.04/  15.33 GFLOPS | Progress: (4/20) | 5.24 s
-[Task  6/25]  Current/Best:    3.55/  20.22 GFLOPS | Progress: (8/20) | 7.79 s
-[Task  6/25]  Current/Best:   14.52/  21.02 GFLOPS | Progress: (12/20) | 11.52 s
-[Task  6/25]  Current/Best:   16.34/  21.02 GFLOPS | Progress: (16/20) | 14.09 s
-[Task  6/25]  Current/Best:   12.13/  21.55 GFLOPS | Progress: (20/20) | 17.54 s Done.
+[Task  6/25]  Current/Best:   12.65/  21.27 GFLOPS | Progress: (4/20) | 4.94 s
+[Task  6/25]  Current/Best:   10.44/  21.27 GFLOPS | Progress: (8/20) | 8.24 s
+[Task  6/25]  Current/Best:   21.17/  21.27 GFLOPS | Progress: (12/20) | 10.46 s
+[Task  6/25]  Current/Best:   14.34/  21.27 GFLOPS | Progress: (16/20) | 13.55 s
+[Task  6/25]  Current/Best:   14.11/  21.27 GFLOPS | Progress: (20/20) | 16.25 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:    6.48/  18.33 GFLOPS | Progress: (4/20) | 4.87 s
-[Task  7/25]  Current/Best:   13.22/  18.33 GFLOPS | Progress: (8/20) | 7.43 s
-[Task  7/25]  Current/Best:   21.94/  22.74 GFLOPS | Progress: (12/20) | 9.95 s
-[Task  7/25]  Current/Best:   18.92/  22.74 GFLOPS | Progress: (16/20) | 12.76 s
-[Task  7/25]  Current/Best:   18.05/  22.74 GFLOPS | Progress: (20/20) | 14.91 s Done.
+[Task  7/25]  Current/Best:   13.80/  21.02 GFLOPS | Progress: (4/20) | 4.83 s
+[Task  7/25]  Current/Best:   17.13/  21.02 GFLOPS | Progress: (8/20) | 6.98 s
+[Task  7/25]  Current/Best:   13.75/  21.04 GFLOPS | Progress: (12/20) | 9.39 s
+[Task  7/25]  Current/Best:   20.70/  21.04 GFLOPS | Progress: (16/20) | 11.71 s
+[Task  7/25]  Current/Best:   19.75/  21.04 GFLOPS | Progress: (20/20) | 13.87 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:   12.30/  16.88 GFLOPS | Progress: (4/20) | 5.07 s
-[Task  8/25]  Current/Best:    6.07/  18.84 GFLOPS | Progress: (8/20) | 13.18 s
-[Task  8/25]  Current/Best:   13.75/  20.57 GFLOPS | Progress: (12/20) | 16.12 s
-[Task  8/25]  Current/Best:   11.39/  20.57 GFLOPS | Progress: (16/20) | 19.84 s
-[Task  8/25]  Current/Best:   12.63/  20.57 GFLOPS | Progress: (20/20) | 23.40 s Done.
+[Task  8/25]  Current/Best:    5.55/  14.86 GFLOPS | Progress: (4/20) | 5.37 s
+[Task  8/25]  Current/Best:    3.11/  14.87 GFLOPS | Progress: (8/20) | 11.94 s
+[Task  8/25]  Current/Best:   11.51/  16.28 GFLOPS | Progress: (12/20) | 15.48 s
+[Task  8/25]  Current/Best:    5.04/  16.28 GFLOPS | Progress: (16/20) | 23.52 s
+[Task  8/25]  Current/Best:    3.91/  16.28 GFLOPS | Progress: (20/20) | 26.30 s Done.
 
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:    6.33/  15.97 GFLOPS | Progress: (4/20) | 5.01 s
-[Task  9/25]  Current/Best:    7.05/  15.97 GFLOPS | Progress: (8/20) | 10.39 s
-[Task  9/25]  Current/Best:   18.76/  19.44 GFLOPS | Progress: (12/20) | 12.40 s
-[Task  9/25]  Current/Best:   12.62/  19.44 GFLOPS | Progress: (16/20) | 23.79 s
-[Task  9/25]  Current/Best:    6.82/  19.44 GFLOPS | Progress: (20/20) | 27.02 s
+[Task  9/25]  Current/Best:    7.80/  14.26 GFLOPS | Progress: (4/20) | 13.15 s
+[Task  9/25]  Current/Best:   12.59/  18.22 GFLOPS | Progress: (8/20) | 15.21 s
+[Task  9/25]  Current/Best:    9.98/  18.22 GFLOPS | Progress: (12/20) | 20.29 s
+[Task  9/25]  Current/Best:    6.64/  18.22 GFLOPS | Progress: (16/20) | 22.04 s
+[Task  9/25]  Current/Best:   22.85/  22.85 GFLOPS | Progress: (20/20) | 26.28 s Done.
+
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   10.15/  21.04 GFLOPS | Progress: (4/20) | 4.76 s
-[Task 10/25]  Current/Best:   10.87/  21.04 GFLOPS | Progress: (8/20) | 7.56 s
-[Task 10/25]  Current/Best:   14.65/  21.04 GFLOPS | Progress: (12/20) | 9.80 s
-[Task 10/25]  Current/Best:   11.68/  21.04 GFLOPS | Progress: (16/20) | 13.36 s
-[Task 10/25]  Current/Best:    3.05/  21.04 GFLOPS | Progress: (20/20) | 15.17 s Done.
+[Task 10/25]  Current/Best:    5.47/  13.51 GFLOPS | Progress: (4/20) | 5.74 s
+[Task 10/25]  Current/Best:   14.18/  17.86 GFLOPS | Progress: (8/20) | 8.82 s
+[Task 10/25]  Current/Best:   13.44/  17.86 GFLOPS | Progress: (12/20) | 10.53 s
+[Task 10/25]  Current/Best:   12.45/  17.86 GFLOPS | Progress: (16/20) | 13.18 s
+[Task 10/25]  Current/Best:   12.00/  20.93 GFLOPS | Progress: (20/20) | 15.26 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/  20.83 GFLOPS | Progress: (4/20) | 4.78 s
-[Task 11/25]  Current/Best:   17.36/  20.83 GFLOPS | Progress: (8/20) | 7.15 s
-[Task 11/25]  Current/Best:   22.46/  22.46 GFLOPS | Progress: (12/20) | 9.53 s
-[Task 11/25]  Current/Best:   10.51/  22.46 GFLOPS | Progress: (16/20) | 11.69 s
-[Task 11/25]  Current/Best:   16.94/  22.46 GFLOPS | Progress: (20/20) | 13.93 s Done.
+[Task 11/25]  Current/Best:   16.06/  16.06 GFLOPS | Progress: (4/20) | 5.19 s
+[Task 11/25]  Current/Best:    9.74/  21.29 GFLOPS | Progress: (8/20) | 7.46 s
+[Task 11/25]  Current/Best:   11.49/  21.59 GFLOPS | Progress: (12/20) | 9.74 s
+[Task 11/25]  Current/Best:   19.14/  21.59 GFLOPS | Progress: (16/20) | 13.49 s
+[Task 11/25]  Current/Best:    7.37/  22.46 GFLOPS | Progress: (20/20) | 15.85 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   18.16/  18.16 GFLOPS | Progress: (4/20) | 4.91 s
-[Task 12/25]  Current/Best:   16.36/  18.16 GFLOPS | Progress: (8/20) | 9.59 s
-[Task 12/25]  Current/Best:    8.98/  18.16 GFLOPS | Progress: (12/20) | 11.88 s
-[Task 12/25]  Current/Best:   16.56/  18.16 GFLOPS | Progress: (16/20) | 15.50 s
-[Task 12/25]  Current/Best:    4.97/  18.16 GFLOPS | Progress: (20/20) | 18.63 s Done.
+[Task 12/25]  Current/Best:   13.57/  13.57 GFLOPS | Progress: (4/20) | 6.55 s
+[Task 12/25]  Current/Best:   18.30/  18.30 GFLOPS | Progress: (8/20) | 8.81 s
+[Task 12/25]  Current/Best:    2.59/  18.30 GFLOPS | Progress: (12/20) | 12.26 s
+[Task 12/25]  Current/Best:   13.36/  18.30 GFLOPS | Progress: (16/20) | 14.61 s
+[Task 12/25]  Current/Best:   15.32/  20.52 GFLOPS | Progress: (20/20) | 16.54 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:    8.91/  20.45 GFLOPS | Progress: (4/20) | 6.16 s
-[Task 13/25]  Current/Best:   15.16/  20.45 GFLOPS | Progress: (8/20) | 9.11 s
-[Task 13/25]  Current/Best:    3.18/  22.74 GFLOPS | Progress: (12/20) | 12.83 s
-[Task 13/25]  Current/Best:   18.32/  22.74 GFLOPS | Progress: (16/20) | 15.00 s
-[Task 13/25]  Current/Best:   18.05/  23.41 GFLOPS | Progress: (20/20) | 17.77 s Done.
+[Task 13/25]  Current/Best:    9.14/  18.77 GFLOPS | Progress: (4/20) | 5.89 s
+[Task 13/25]  Current/Best:   19.53/  19.53 GFLOPS | Progress: (8/20) | 8.61 s
+[Task 13/25]  Current/Best:   18.99/  19.53 GFLOPS | Progress: (12/20) | 13.49 s
+[Task 13/25]  Current/Best:    9.79/  19.53 GFLOPS | Progress: (16/20) | 17.22 s
+[Task 13/25]  Current/Best:    4.60/  19.53 GFLOPS | Progress: (20/20) | 20.19 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:   16.86/  16.86 GFLOPS | Progress: (4/20) | 5.37 s
-[Task 14/25]  Current/Best:   13.49/  21.06 GFLOPS | Progress: (8/20) | 7.73 s
-[Task 14/25]  Current/Best:   21.97/  21.97 GFLOPS | Progress: (12/20) | 14.05 s
-[Task 14/25]  Current/Best:    6.90/  21.97 GFLOPS | Progress: (16/20) | 17.84 s
-[Task 14/25]  Current/Best:   16.86/  21.97 GFLOPS | Progress: (20/20) | 20.23 s Done.
+[Task 14/25]  Current/Best:    6.77/  21.99 GFLOPS | Progress: (4/20) | 13.22 s
+[Task 14/25]  Current/Best:    7.64/  21.99 GFLOPS | Progress: (8/20) | 19.95 s
+[Task 14/25]  Current/Best:   12.12/  21.99 GFLOPS | Progress: (12/20) | 23.28 s
+[Task 14/25]  Current/Best:   13.64/  21.99 GFLOPS | Progress: (16/20) | 29.03 s
+[Task 14/25]  Current/Best:   15.00/  21.99 GFLOPS | Progress: (20/20) | 31.09 s Done.
 
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:    7.30/  13.52 GFLOPS | Progress: (4/20) | 10.65 s
-[Task 15/25]  Current/Best:   14.33/  21.26 GFLOPS | Progress: (8/20) | 12.43 s
-[Task 15/25]  Current/Best:    7.53/  21.26 GFLOPS | Progress: (12/20) | 14.90 s
-[Task 15/25]  Current/Best:    6.54/  21.26 GFLOPS | Progress: (16/20) | 18.69 s
-[Task 15/25]  Current/Best:   16.85/  21.26 GFLOPS | Progress: (20/20) | 20.30 s Done.
-
+[Task 15/25]  Current/Best:    8.41/  21.93 GFLOPS | Progress: (4/20) | 8.99 s
+[Task 15/25]  Current/Best:    8.00/  21.93 GFLOPS | Progress: (8/20) | 19.57 s
+[Task 15/25]  Current/Best:   12.80/  21.93 GFLOPS | Progress: (12/20) | 30.70 s
+[Task 15/25]  Current/Best:   17.68/  21.93 GFLOPS | Progress: (16/20) | 33.39 s
+[Task 15/25]  Current/Best:   10.32/  21.93 GFLOPS | Progress: (20/20) | 41.12 s
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   17.52/  20.04 GFLOPS | Progress: (4/20) | 4.12 s
-[Task 16/25]  Current/Best:    1.63/  20.04 GFLOPS | Progress: (8/20) | 6.33 s
-[Task 16/25]  Current/Best:   18.89/  20.04 GFLOPS | Progress: (12/20) | 7.88 s
-[Task 16/25]  Current/Best:   18.96/  20.04 GFLOPS | Progress: (16/20) | 9.52 s
-[Task 16/25]  Current/Best:   14.28/  20.04 GFLOPS | Progress: (20/20) | 11.79 s Done.
+[Task 16/25]  Current/Best:    7.56/  14.24 GFLOPS | Progress: (4/20) | 4.91 s
+[Task 16/25]  Current/Best:   12.90/  19.68 GFLOPS | Progress: (8/20) | 7.51 s
+[Task 16/25]  Current/Best:   15.34/  19.68 GFLOPS | Progress: (12/20) | 9.92 s
+[Task 16/25]  Current/Best:   11.77/  19.68 GFLOPS | Progress: (16/20) | 13.25 s
+[Task 16/25]  Current/Best:   14.40/  20.52 GFLOPS | Progress: (20/20) | 14.74 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:    3.20/  22.79 GFLOPS | Progress: (4/20) | 5.93 s
-[Task 17/25]  Current/Best:    9.85/  24.29 GFLOPS | Progress: (8/20) | 8.53 s
-[Task 17/25]  Current/Best:   12.65/  24.29 GFLOPS | Progress: (12/20) | 11.28 s
-[Task 17/25]  Current/Best:    9.32/  24.29 GFLOPS | Progress: (16/20) | 14.66 s
-[Task 17/25]  Current/Best:   24.63/  24.63 GFLOPS | Progress: (20/20) | 16.89 s Done.
+[Task 17/25]  Current/Best:    8.37/  11.80 GFLOPS | Progress: (4/20) | 5.58 s
+[Task 17/25]  Current/Best:    6.23/  23.17 GFLOPS | Progress: (8/20) | 8.11 s
+[Task 17/25]  Current/Best:   20.15/  23.17 GFLOPS | Progress: (12/20) | 10.27 s
+[Task 17/25]  Current/Best:   12.28/  23.17 GFLOPS | Progress: (16/20) | 13.33 s
+[Task 17/25]  Current/Best:   10.09/  23.17 GFLOPS | Progress: (20/20) | 16.44 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:    5.30/  19.17 GFLOPS | Progress: (4/20) | 6.66 s
-[Task 18/25]  Current/Best:    5.36/  19.17 GFLOPS | Progress: (8/20) | 9.87 s
-[Task 18/25]  Current/Best:   13.62/  19.17 GFLOPS | Progress: (12/20) | 14.08 s
-[Task 18/25]  Current/Best:   13.44/  20.24 GFLOPS | Progress: (16/20) | 18.00 s
-[Task 18/25]  Current/Best:    9.00/  20.61 GFLOPS | Progress: (20/20) | 27.01 s Done.
+[Task 18/25]  Current/Best:   10.22/  15.57 GFLOPS | Progress: (4/20) | 6.50 s
+[Task 18/25]  Current/Best:   15.54/  15.57 GFLOPS | Progress: (8/20) | 15.73 s
+[Task 18/25]  Current/Best:   12.20/  18.36 GFLOPS | Progress: (12/20) | 18.53 s
+[Task 18/25]  Current/Best:   13.73/  18.36 GFLOPS | Progress: (16/20) | 21.24 s
+[Task 18/25]  Current/Best:   11.14/  18.78 GFLOPS | Progress: (20/20) | 23.78 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    7.67/  19.81 GFLOPS | Progress: (4/20) | 6.43 s
-[Task 19/25]  Current/Best:   19.11/  21.90 GFLOPS | Progress: (8/20) | 8.54 s
-[Task 19/25]  Current/Best:    9.51/  21.90 GFLOPS | Progress: (12/20) | 12.10 s
-[Task 19/25]  Current/Best:   12.56/  21.90 GFLOPS | Progress: (16/20) | 16.22 s
-[Task 19/25]  Current/Best:   19.25/  21.90 GFLOPS | Progress: (20/20) | 19.77 s Done.
+[Task 19/25]  Current/Best:   12.42/  20.70 GFLOPS | Progress: (4/20) | 5.41 s
+[Task 19/25]  Current/Best:   21.52/  21.52 GFLOPS | Progress: (8/20) | 9.61 s
+[Task 19/25]  Current/Best:    9.29/  22.32 GFLOPS | Progress: (12/20) | 12.10 s
+[Task 19/25]  Current/Best:    5.95/  22.32 GFLOPS | Progress: (16/20) | 17.71 s
+[Task 19/25]  Current/Best:   18.40/  22.32 GFLOPS | Progress: (20/20) | 20.31 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:   14.28/  14.28 GFLOPS | Progress: (4/20) | 14.16 s
-[Task 20/25]  Current/Best:    2.67/  14.28 GFLOPS | Progress: (8/20) | 26.53 s Done.
-
-[Task 20/25]  Current/Best:   19.29/  19.29 GFLOPS | Progress: (12/20) | 30.15 s
-[Task 20/25]  Current/Best:    5.84/  19.29 GFLOPS | Progress: (16/20) | 32.60 s
-[Task 20/25]  Current/Best:    5.49/  19.29 GFLOPS | Progress: (20/20) | 40.66 s Done.
+[Task 20/25]  Current/Best:   17.33/  17.33 GFLOPS | Progress: (4/20) | 5.87 s
+[Task 20/25]  Current/Best:   15.70/  19.62 GFLOPS | Progress: (8/20) | 9.24 s
+[Task 20/25]  Current/Best:   14.10/  19.62 GFLOPS | Progress: (12/20) | 11.53 s
+[Task 20/25]  Current/Best:    6.19/  19.62 GFLOPS | Progress: (16/20) | 13.92 s
+[Task 20/25]  Current/Best:    1.57/  19.62 GFLOPS | Progress: (20/20) | 17.40 s Done.
 
 [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25]  Current/Best:    1.68/  23.25 GFLOPS | Progress: (4/20) | 4.76 s
-[Task 21/25]  Current/Best:    9.95/  23.25 GFLOPS | Progress: (8/20) | 15.86 s
-[Task 21/25]  Current/Best:   20.13/  23.25 GFLOPS | Progress: (12/20) | 19.04 s
-[Task 21/25]  Current/Best:   18.66/  23.25 GFLOPS | Progress: (16/20) | 30.19 s
-[Task 21/25]  Current/Best:   10.29/  23.25 GFLOPS | Progress: (20/20) | 34.72 s
+[Task 21/25]  Current/Best:    6.45/  13.08 GFLOPS | Progress: (4/20) | 13.50 s
+[Task 21/25]  Current/Best:   22.24/  22.24 GFLOPS | Progress: (8/20) | 16.43 s
+[Task 21/25]  Current/Best:    4.86/  22.24 GFLOPS | Progress: (12/20) | 25.13 s Done.
+
+[Task 21/25]  Current/Best:   22.93/  22.93 GFLOPS | Progress: (16/20) | 36.31 s
+[Task 21/25]  Current/Best:    9.95/  22.93 GFLOPS | Progress: (20/20) | 42.78 s
 [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:   10.46/  22.44 GFLOPS | Progress: (4/20) | 4.39 s
-[Task 22/25]  Current/Best:   14.75/  22.44 GFLOPS | Progress: (8/20) | 6.62 s
-[Task 22/25]  Current/Best:    5.75/  22.44 GFLOPS | Progress: (12/20) | 8.74 s
-[Task 22/25]  Current/Best:   18.54/  22.44 GFLOPS | Progress: (16/20) | 10.31 s
-[Task 22/25]  Current/Best:   10.54/  22.44 GFLOPS | Progress: (20/20) | 13.78 s Done.
+[Task 22/25]  Current/Best:    6.22/  20.22 GFLOPS | Progress: (4/20) | 4.37 s
+[Task 22/25]  Current/Best:   16.11/  20.22 GFLOPS | Progress: (8/20) | 9.03 s
+[Task 22/25]  Current/Best:    3.42/  20.22 GFLOPS | Progress: (12/20) | 12.40 s
+[Task 22/25]  Current/Best:    3.57/  20.24 GFLOPS | Progress: (16/20) | 15.73 s
+[Task 22/25]  Current/Best:   15.85/  20.24 GFLOPS | Progress: (20/20) | 19.04 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   11.17/  22.61 GFLOPS | Progress: (4/20) | 7.56 s
-[Task 23/25]  Current/Best:    9.01/  23.54 GFLOPS | Progress: (8/20) | 10.86 s
-[Task 23/25]  Current/Best:   11.15/  23.54 GFLOPS | Progress: (12/20) | 14.35 s
-[Task 23/25]  Current/Best:   22.57/  23.54 GFLOPS | Progress: (16/20) | 16.86 s
-[Task 23/25]  Current/Best:    6.79/  23.54 GFLOPS | Progress: (20/20) | 19.87 s Done.
+[Task 23/25]  Current/Best:   21.83/  21.83 GFLOPS | Progress: (4/20) | 6.09 s
+[Task 23/25]  Current/Best:   21.05/  23.16 GFLOPS | Progress: (8/20) | 8.83 s
+[Task 23/25]  Current/Best:   13.78/  23.16 GFLOPS | Progress: (12/20) | 11.81 s
+[Task 23/25]  Current/Best:   10.38/  23.16 GFLOPS | Progress: (16/20) | 18.00 s
+[Task 23/25]  Current/Best:   12.38/  23.16 GFLOPS | Progress: (20/20) | 21.72 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    6.55/   7.87 GFLOPS | Progress: (4/20) | 6.64 s
-[Task 24/25]  Current/Best:    2.55/   7.87 GFLOPS | Progress: (8/20) | 17.62 s
-[Task 24/25]  Current/Best:    3.84/   7.87 GFLOPS | Progress: (12/20) | 29.39 s
-[Task 24/25]  Current/Best:    7.48/  10.52 GFLOPS | Progress: (16/20) | 40.35 s Done.
-
-[Task 24/25]  Current/Best:   10.88/  10.88 GFLOPS | Progress: (20/20) | 42.86 s Done.
-
+[Task 24/25]  Current/Best:    4.13/   7.92 GFLOPS | Progress: (4/20) | 5.53 s
+[Task 24/25]  Current/Best:    0.61/   7.92 GFLOPS | Progress: (8/20) | 16.58 s
+[Task 24/25]  Current/Best:    7.65/   7.92 GFLOPS | Progress: (12/20) | 27.58 s
+[Task 24/25]  Current/Best:   10.37/  10.37 GFLOPS | Progress: (16/20) | 39.72 s
+[Task 24/25]  Current/Best:    9.55/  10.37 GFLOPS | Progress: (20/20) | 47.35 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    7.67/   8.09 GFLOPS | Progress: (4/20) | 4.14 s
-[Task 25/25]  Current/Best:    9.85/   9.85 GFLOPS | Progress: (8/20) | 6.39 s
-[Task 25/25]  Current/Best:    1.59/   9.85 GFLOPS | Progress: (12/20) | 8.33 s
-[Task 25/25]  Current/Best:    1.59/   9.85 GFLOPS | Progress: (16/20) | 13.88 s
-[Task 25/25]  Current/Best:    7.49/   9.85 GFLOPS | Progress: (20/20) | 19.53 s Done.
+[Task 25/25]  Current/Best:    3.03/   9.17 GFLOPS | Progress: (4/20) | 4.06 s
+[Task 25/25]  Current/Best:    7.21/   9.17 GFLOPS | Progress: (8/20) | 6.85 s
+[Task 25/25]  Current/Best:    6.05/   9.17 GFLOPS | Progress: (12/20) | 10.87 s
+[Task 25/25]  Current/Best:    1.53/   9.17 GFLOPS | Progress: (16/20) | 12.60 s
+[Task 25/25]  Current/Best:    3.97/   9.17 GFLOPS | Progress: (20/20) | 14.46 s Done.
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -986,6 +984,10 @@ model using optimized operators to speed up our computations.</p>
 <a href="../reference/api/python/graph_executor.html#tvm.contrib.graph_executor.GraphModule" title="tvm.contrib.graph_executor.GraphModule" class="sphx-glr-backref-module-tvm-contrib-graph_executor sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">module</span></a> <span class="o">=</span> <a href="../reference/api/python/graph_executor.html#tvm.contrib.graph_executor.GraphModule" title="tvm.contrib.graph_executor.GraphModule" class="sphx-glr-backref-module-tvm-co [...]
 </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>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">dtype</span></a> <span class="o">=</span> <span class="s2">&quot;float32&quot;</span>
 <a href="../reference/api/python/graph_executor.html#tvm.contrib.graph_executor.GraphModule.set_input" title="tvm.contrib.graph_executor.GraphModule.set_input" class="sphx-glr-backref-module-tvm-contrib-graph_executor sphx-glr-backref-type-py-method"><span class="n">module</span><span class="o">.</span><span class="n">set_input</span></a><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx- [...]
@@ -1038,8 +1040,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;unoptimized: </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">unoptimized</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 380.26077891996465, &#39;median&#39;: 378.0417427999964, &#39;std&#39;: 3.7046695220821753}
-unoptimized: {&#39;mean&#39;: 465.9887958999934, &#39;median&#39;: 465.9427565999067, &#39;std&#39;: 0.5116720502973422}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 401.719080460025, &#39;median&#39;: 401.17172640002536, &#39;std&#39;: 2.079854842565666}
+unoptimized: {&#39;mean&#39;: 492.3359014299058, &#39;median&#39;: 492.1134946498569, &#39;std&#39;: 1.4732773411501123}
 </pre></div>
 </div>
 </div>
@@ -1053,7 +1055,7 @@ models.</p>
 <p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
 supports many more features including cross-compilation, remote execution and
 profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes  33.819 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  14.806 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 fd6b02cbc5..6987f6d1c1 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>1.21e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.244e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index b642e25a78..710e785a65 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, 0x1bb375d0)), stage(b, placeholder(b, 0xf3ee370)), 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, attrs [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x12ac73c0)), stage(b, placeholder(b, 0x743a3a0)), 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, attrs [...]
 </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 49010b6faa..33670fb2d0 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>16:22.921</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>17:01.072</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,54 +369,54 @@
 </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>12:33.819</p></td>
+<td><p>13:14.806</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>01:41.346</p></td>
+<td><p>01:40.356</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>00:58.442</p></td>
+<td><p>00:57.598</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>00:42.150</p></td>
+<td><p>00:43.431</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>00:25.281</p></td>
+<td><p>00:22.631</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>00:00.860</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
+<td><p>00:01.179</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>00:00.855</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
+<td><p>00:00.901</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>00:00.167</p></td>
+<td><p>00:00.169</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_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-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>
 <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_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-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>
 <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="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="install.html#sphx-glr-tutorial-install-py"><span class="std std-ref">Installing TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">install.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="install.html#sphx-glr-tutorial-install-py"><span class="std std-ref">Installing TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">install.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.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 e39caa0e15..67089cc169 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: 0.000006
-naive: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000007
+naive: 0.000008
 </pre></div>
 </div>
 </div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000040
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -701,10 +701,10 @@ class Module:
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator                  Timing             Performance
-   numpy    5.82772001507692e-06                     1.0
-   naive              5.6012e-06      0.9611305940417711
-parallel              7.0883e-06       1.216307575117169
-  vector             3.79324e-05       6.508960605839835
+   numpy    7.422949965985026e-06                    1.0
+   naive              7.8984e-06      1.0640513591218692
+parallel              7.1852e-06      0.9679709593794256
+  vector             4.03107e-05       5.430549873664784
 </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: 0.014395
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017645
 </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: 3.370865
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.190353
 </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: 0.285585
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.291050
 </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: 0.264004
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.265336
 # 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: 0.111536
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.114129
 # 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: 0.104170
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.106600
 # 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: 0.096268
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.112000
 # 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: 0.113834
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.132028
 # 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      3.3708649303000002                     1.0
-        blocking             0.285584655     0.08472147680345755
-   vectorization     0.26400375119999997     0.07831929094130276
-loop permutation            0.1115355138    0.033088099376937526
-   array packing     0.10417011070000001    0.030903080619943166
-   block caching            0.0962676911    0.028558750673950133
- parallelization     0.11383386020000001     0.03376992628116637
+            none            3.1903530391                     1.0
+        blocking            0.2910502169     0.09122821622967012
+   vectorization            0.2653364323     0.08316836069491905
+loop permutation     0.11412917999999998    0.035773213372083695
+   array packing            0.1065997447    0.033413150016172455
+   block caching     0.11200030220000001     0.03510592740908553
+ parallelization            0.1320283717    0.041383624345613254
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a