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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/11/05 03:38:34 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@be3d42b8a70e118b39ce1f8a5add0d99df477270)

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 ae344da95c deploying docs (apache/tvm@be3d42b8a70e118b39ce1f8a5add0d99df477270)
ae344da95c is described below

commit ae344da95c7317f18313c362df641ca3edb5c25b
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Tue Nov 5 03:38:27 2024 +0000

    deploying docs (apache/tvm@be3d42b8a70e118b39ce1f8a5add0d99df477270)
---
 .../relax/tutorials/sg_execution_times.rst.txt     |   6 +-
 .../tensor_ir/tutorials/sg_execution_times.rst.txt |   6 +-
 .../tensor_ir/tutorials/tir_transformation.rst.txt |   6 +-
 .../tutorials/sg_execution_times.rst.txt           |   6 +-
 .../how_to/compile_models/from_darknet.rst.txt     |   2 +-
 .../how_to/compile_models/from_keras.rst.txt       |   2 +-
 .../how_to/compile_models/from_oneflow.rst.txt     |   2 +-
 .../how_to/compile_models/from_paddle.rst.txt      |   2 +-
 .../how_to/compile_models/from_pytorch.rst.txt     |   2 +-
 .../how_to/compile_models/from_tensorflow.rst.txt  |   2 +-
 .../compile_models/sg_execution_times.rst.txt      |  20 +-
 .../deploy_models/deploy_model_on_adreno.rst.txt   |   4 +-
 .../deploy_model_on_adreno_tvmc.rst.txt            |   2 +-
 .../deploy_models/deploy_model_on_android.rst.txt  |   2 +-
 .../deploy_object_detection_pytorch.rst.txt        |   4 +-
 .../deploy_models/deploy_prequantized.rst.txt      |   6 +-
 .../deploy_prequantized_tflite.rst.txt             |   2 +-
 .../deploy_models/sg_execution_times.rst.txt       |  18 +-
 .../how_to/extend_tvm/sg_execution_times.rst.txt   |   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   |  10 +-
 .../tune_with_autotvm/tune_conv2d_cuda.rst.txt     |   2 +-
 .../tutorials/cross_compilation_and_rpc.rst.txt    |   2 +-
 .../_sources/how_to/tutorials/optimize_llm.rst.txt |   2 +-
 .../how_to/tutorials/sg_execution_times.rst.txt    |  10 +-
 .../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 +-
 .../work_with_schedules/sg_execution_times.rst.txt |  14 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   4 +-
 .../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     |   6 +-
 docs/_sources/tutorial/autotvm_matmul_x86.rst.txt  |  20 +-
 docs/_sources/tutorial/autotvm_relay_x86.rst.txt   |  60 ++---
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  16 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  51 ++--
 docs/commit_hash                                   |   2 +-
 .../relax/tutorials/sg_execution_times.html        |   6 +-
 .../tensor_ir/tutorials/sg_execution_times.html    |   6 +-
 .../tensor_ir/tutorials/tir_transformation.html    |   6 +-
 docs/get_started/tutorials/sg_execution_times.html |   6 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_keras.html         |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  15 +-
 docs/how_to/compile_models/from_paddle.html        |   2 +-
 docs/how_to/compile_models/from_pytorch.html       |  16 +-
 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 |  36 +--
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  35 ++-
 docs/how_to/deploy_models/deploy_prequantized.html |   9 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  18 +-
 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      |  10 +-
 .../how_to/tune_with_autotvm/tune_conv2d_cuda.html |   2 +-
 .../tutorials/cross_compilation_and_rpc.html       |   2 +-
 docs/how_to/tutorials/optimize_llm.html            |   2 +-
 docs/how_to/tutorials/sg_execution_times.html      |  14 +-
 docs/how_to/work_with_microtvm/micro_autotune.html |  18 +-
 docs/how_to/work_with_microtvm/micro_pytorch.html  |   4 +-
 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 +-
 .../work_with_schedules/sg_execution_times.html    |  14 +-
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |  14 +-
 .../typedoc/classes/ArtifactIndexedDBCache.html    |  16 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 116 ++++-----
 .../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 |  60 ++---
 .../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 +-
 .../typedoc/interfaces/ArtifactCacheTemplate.html  |  10 +-
 .../api/typedoc/interfaces/Disposable.html         |   4 +-
 .../typedoc/interfaces/GPUDeviceDetectOutput.html  |   8 +-
 .../api/typedoc/interfaces/InitProgressReport.html |   8 +-
 .../api/typedoc/interfaces/LibraryProvider.html    |   6 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.html   |   2 +-
 .../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   |   4 +-
 .../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       |   5 +-
 docs/tutorial/autotvm_matmul_x86.html              |  20 +-
 docs/tutorial/autotvm_relay_x86.html               | 268 ++++++++++-----------
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  16 +-
 docs/tutorial/tensor_expr_get_started.html         |  47 ++--
 150 files changed, 938 insertions(+), 916 deletions(-)

diff --git a/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt b/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
index 04a63b39ea..f10d896354 100644
--- a/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
 
 Computation times
 =================
-**00:00.286** total execution time for **deep_dive_relax_tutorials** files:
+**00:00.299** total execution time for **deep_dive_relax_tutorials** files:
 
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``relax_creation.py``)             | 00:00.193 | 0.0 MB |
+| :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``relax_creation.py``)             | 00:00.202 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py` (``relax_transformation.py``) | 00:00.093 | 0.0 MB |
+| :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py` (``relax_transformation.py``) | 00:00.097 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt b/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
index 78983fab77..5f23133a2f 100644
--- a/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
 
 Computation times
 =================
-**00:00.584** total execution time for **deep_dive_tensor_ir_tutorials** files:
+**00:00.614** total execution time for **deep_dive_tensor_ir_tutorials** files:
 
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``tir_transformation.py``) | 00:00.339 | 0.0 MB |
+| :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``tir_transformation.py``) | 00:00.354 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``tir_creation.py``)             | 00:00.245 | 0.0 MB |
+| :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``tir_creation.py``)             | 00:00.260 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
index 61618ca729..9b58dea607 100644
--- a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
+++ b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
@@ -123,7 +123,7 @@ original implementation.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       2.2368       2.2368       2.2368       2.2368       0.0000                  
+       2.3478       2.3478       2.3478       2.3478       0.0000                  
 
 
 
@@ -295,7 +295,7 @@ action involves reordering these two loops.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       0.9570       0.9570       0.9570       0.9570       0.0000                  
+       1.0296       1.0296       1.0296       1.0296       0.0000                  
 
 
 
@@ -423,7 +423,7 @@ from the reduction update via the **decompose_reduction** primitive.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       0.3263       0.3263       0.3263       0.3263       0.0000                  
+       0.3448       0.3448       0.3448       0.3448       0.0000                  
 
 
 
diff --git a/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt b/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
index f5657a4823..5b042d10f1 100644
--- a/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
 
 Computation times
 =================
-**00:03.030** total execution time for **get_started_tutorials** files:
+**00:02.737** total execution time for **get_started_tutorials** files:
 
 +---------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``ir_module.py``)     | 00:02.824 | 0.0 MB |
+| :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``ir_module.py``)     | 00:02.524 | 0.0 MB |
 +---------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``quick_start.py``) | 00:00.206 | 0.0 MB |
+| :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``quick_start.py``) | 00:00.214 | 0.0 MB |
 +---------------------------------------------------------------------------+-----------+--------+
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 951e57e4fc..3a96a04c2b 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  37.184 seconds)
+   **Total running time of the script:** ( 1 minutes  39.642 seconds)
 
 
 .. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_keras.rst.txt b/docs/_sources/how_to/compile_models/from_keras.rst.txt
index 9e6bdbb909..0115952c74 100644
--- a/docs/_sources/how_to/compile_models/from_keras.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_keras.rst.txt
@@ -232,7 +232,7 @@ Look up prediction top 1 index in 1000 class synset.
  .. code-block:: none
 
     Relay top-1 id: 285, class name: Egyptian cat
-     1/1 [==============================] - ETA: 0s     1/1 [==============================] - 1s 962ms/step
+     1/1 [==============================] - ETA: 0s     1/1 [==============================] - 1s 970ms/step
     Keras top-1 id: 285, class name: Egyptian cat
 
 
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 ba367cd8f7..7b58fbf27d 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ Load a pretrained OneFlow model and save model
  .. code-block:: none
 
     Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-       0%|          | 0.00/41.5M [00:00<?, ?B/s]      19%|#9        | 7.99M/41.5M [00:00<00:00, 78.6MB/s]      39%|###8      | 16.0M/41.5M [00:00<00:00, 67.8MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 62.1MB/s]      77%|#######7  | 32.1M/41.5M [00:00<00:00, 65.7MB/s]      93%|#########2| 38.5M/41.5M [00:00<00:00, 50.7MB/s]     100%|##########| 41.5M/41.5M [00:00<00:00, 54.6MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:01, 25.9MB/s]      21%|##1       | 8.80M/41.5M [00:00<00:01, 24.0MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:01, 18.2MB/s]      39%|###8      | 16.2M/41.5M [00:00<00:01, 17.4MB/s]      54%|#####3    | 22.3M/41.5M [00:01<00:01, 19.9MB/s]      58%|#####8    | 24.2M/41.5M [00:01<00:01, 17.7MB/s]      77%|#######7  | 32.0M/41.5M [00:01<00:00, 27.8MB/s]      96%|#########6| 40.0M/41.5M [00:01<00:00, 32.4MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 25.8MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 2a9a90d2dc..04e2cff39f 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -209,7 +209,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  7.187 seconds)
+   **Total running time of the script:** ( 1 minutes  8.789 seconds)
 
 
 .. _sphx_glr_download_how_to_compile_models_from_paddle.py:
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 bc6dcc01b3..2be6e97c41 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]       2%|2         | 1.00M/44.7M [00:00<00:07, 6.44MB/s]       4%|4         | 2.00M/44.7M [00:00<00:06, 6.84MB/s]       7%|6         | 3.00M/44.7M [00:00<00:06, 7.12MB/s]       9%|8         | 4.00M/44.7M [00:00<00:05, 7.60MB/s]      11%|#1        | 5.00M/44.7M [00:00<00:05, 7.60MB/s]      13%|#3        | 6.00M/44.7M [00:00<00:05, 7.74MB/s]      16%|#5        | 7.00M/44.7M [00:00<00:05, 7.36MB/s]      35%|###5      | 15.8M/44.7M [00:01<00:01, 28.0MB/s]      55%|#####4    | 24.5M/44.7M [00:01<00:00, 44.5MB/s]      69%|######8   | 30.8M/44.7M [00:01<00:00, 50.0MB/s]      89%|########9 | 39.8M/44.7M [00:01<00:00, 61.6MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 32.1MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      25%|##5       | 11.2M/44.7M [00:00<00:00, 118MB/s]      50%|#####     | 22.5M/44.7M [00:00<00:00, 115MB/s]      93%|#########2| 41.5M/44.7M [00:00<00:00, 153MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 146MB/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 49aa0c8230..867be42de7 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -424,7 +424,7 @@ Run the corresponding model on tensorflow
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  31.426 seconds)
+   **Total running time of the script:** ( 1 minutes  37.028 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 65cbb34eeb..000864e306 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
 =================
-**06:55.368** total execution time for **how_to_compile_models** files:
+**07:08.084** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:37.184 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:39.642 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:31.426 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:37.028 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:07.187 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:08.789 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:46.157 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:47.475 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:41.727 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:40.330 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:30.064 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:30.740 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:26.472 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:28.517 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.213 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.519 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.939 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:03.045 | 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 fff6a08bc7..39955acddd 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
@@ -664,7 +664,7 @@ 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)  
-     4000.9479    4001.0510    4003.9789    3997.7637      2.0919                  
+     4127.7597    4128.4707    4132.7776    4114.4381      4.6984                  
 
 
 
@@ -672,7 +672,7 @@ well as provides information about the model's performance
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  19.777 seconds)
+   **Total running time of the script:** ( 1 minutes  21.936 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 e21ede2b5e..b1ec30fd56 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
@@ -127,7 +127,7 @@ Make a Keras Resnet50 Model
  .. code-block:: none
 
     Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
-          8192/102967424 [..............................] - ETA: 0s       8380416/102967424 [=>............................] - ETA: 1s      16769024/102967424 [===>..........................] - ETA: 1s      25157632/102967424 [======>.......................] - ETA: 1s      33546240/102967424 [========>.....................] - ETA: 1s      41934848/102967424 [===========>..................] - ETA: 0s      48578560/102967424 [=============>................] - ETA: 0s      50323456/102967424 [=============>................] - ETA: 0s
       57507840/102967424 [===============>..............] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 0s      65355776/102967424 [==================>...........] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      69296128/102967424 [===================>..........] - ETA: 0s      73334784/102967424 [====================>.........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      82124800/102967424 [======================>.......] -
  ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 2s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       6635520/102967424 [>.............................] - ETA: 3s       8380416/102967424 [=>............................] - ETA: 4s      15024128/102967424 [===>..........................] - ETA: 2s      16769024/102967424 [===>..........................] - ETA: 3s      23412736/102967424 [=====>........................] - ETA: 2s      25157632/102967424 [======>.......................] - ETA: 2s      33546240/102967424 [========>.....................] - ETA: 2s
       40189952/102967424 [==========>...................] - ETA: 1s      41934848/102967424 [===========>..................] - ETA: 1s      48578560/102967424 [=============>................] - ETA: 1s      50323456/102967424 [=============>................] - ETA: 1s      56967168/102967424 [===============>..............] - ETA: 1s      58712064/102967424 [================>.............] - ETA: 1s      65355776/102967424 [==================>...........] - ETA: 1s      67100672/102967424 [==================>...........] -
  ETA: 1s      69296128/102967424 [===================>..........] - ETA: 1s      73744384/102967424 [====================>.........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      82124800/102967424 [======================>.......] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      87130112/102967424 [========================>.....] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424
  [=========================>....] - ETA: 0s      95035392/102967424 [==========================>...] - ETA: 0s      98910208/102967424 [===========================>..] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 4s 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 1b972917e0..96b891916d 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)  
-      14.7787      14.7774      15.6561      14.0508       0.5064                  
+      13.8021      13.7465      14.3755      13.4965       0.2609                  
 
 
 
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 692a74dda8..45323f14e8 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]       2%|2         | 4.12M/170M [00:00<00:04, 42.8MB/s]       8%|7         | 13.0M/170M [00:00<00:02, 71.5MB/s]      17%|#6        | 28.2M/170M [00:00<00:01, 112MB/s]       28%|##7       | 47.2M/170M [00:00<00:00, 146MB/s]      39%|###8      | 65.8M/170M [00:00<00:00, 163MB/s]      50%|####9     | 84.5M/170M [00:00<00:00, 174MB/s]      61%|######    | 103M/170M [00:00<00:00, 181MB/s]       73%|#######2  | 123M/170M [00:00<00:00, 190MB/s]      85%|########4 | 144M/170M [00:00<00:00, 197MB/s]      96%|#########5| 163M/170M [00:01<00:00, 198MB/s]     100%|##########| 170M/170M [00:01<00:00, 171MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       1%|          | 896k/170M [00:00<00:19, 8.89MB/s]       4%|4         | 7.62M/170M [00:00<00:03, 44.6MB/s]       9%|8         | 15.0M/170M [00:00<00:02, 59.2MB/s]      13%|#3        | 22.5M/170M [00:00<00:02, 66.6MB/s]      18%|#7        | 30.2M/170M [00:00<00:02, 71.7MB/s]      22%|##2       | 38.0M/170M [00:00<00:01, 74.9MB/s]      27%|##6       | 45.8M/170M [00:00<00:01, 76.9MB/s]      32%|###1      | 53.5M/170M [00:00<00:01, 78.1MB/s]      36%|###6      | 61.4M/170M [00:00<00:01, 79.4MB/s]      41%|####      | 69.5M/170M [00:01<00:01, 80.8MB/s]      46%|####5     | 77.6M/170M [00:01<00:01, 81.9MB/s]      50%|#####     | 85.6M/170M [00:01<00:01, 82.5MB/s]      55%|#####5    | 93.8M/170M [00:01<00:00, 83.0MB/s]      60%|######    | 102M/170M [00:01<00:00, 84.1MB/s]       65%|######5   | 110M/170M [00:01<00:00, 85.0MB/s]      70%|######9   | 119M/170M [00:01<00:00, 85.3MB/s]      75%|#######4  | 127M/170M [00:01<00:00, 86.2MB/s]  
     80%|########  | 136M/170M [00:01<00:00, 87.4MB/s]      85%|########5 | 145M/170M [00:01<00:00, 88.3MB/s]      90%|######### | 153M/170M [00:02<00:00, 88.7MB/s]      95%|#########5| 162M/170M [00:02<00:00, 89.1MB/s]     100%|##########| 170M/170M [00:02<00:00, 80.6MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/detection/generalized_rcnn.py:75: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
       for img in images:
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/detection/transform.py:122: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
@@ -330,7 +330,7 @@ Get boxes with score larger than 0.9
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  37.487 seconds)
+   **Total running time of the script:** ( 3 minutes  28.622 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 0ac1cfc960..f743e07b67 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]      71%|#######1  | 9.62M/13.6M [00:00<00:00, 101MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 114MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      41%|####      | 5.50M/13.6M [00:00<00:00, 57.2MB/s]      89%|########8 | 12.0M/13.6M [00:00<00:00, 62.5MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 55.6MB/s]
 
 
 
@@ -404,7 +404,7 @@ 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)  
-      86.3443      86.3009      87.0672      85.8463       0.2624                  
+      84.6374      84.5183      87.6922      84.3257       0.4191                  
 
 
 
@@ -452,7 +452,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  34.725 seconds)
+   **Total running time of the script:** ( 1 minutes  31.707 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 0be937ff23..4c77c4f9d3 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
@@ -423,7 +423,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      106.1168     106.1242     107.4072     105.2464      0.3443                  
+      103.0701     102.9835     105.9936     102.1163      0.6583                  
 
 
 
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 07b772e708..0321c5f045 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**10:11.406** total execution time for **how_to_deploy_models** files:
+**09:58.801** 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``) | 03:37.487 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:28.622 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:34.725 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:31.707 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:19.777 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:21.936 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:54.164 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:52.708 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:53.359 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:52.016 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:49.628 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:50.859 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:31.229 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:30.598 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:31.029 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:30.347 | 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 8b58eedb56..28dbb064f2 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
 =================
-**00:04.133** total execution time for **how_to_extend_tvm** files:
+**00:04.325** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.863 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.996 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.261 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.322 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.008 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
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 4620bed1d8..98192db4bc 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: 24856us [24856us] (48.46%; 48.46%)
-    FoldScaleAxis: 26433us [9us] (51.54%; 51.54%)
-            FoldConstant: 26425us [1816us] (51.52%; 99.97%)
-                    InferType: 24608us [24608us] (47.98%; 93.13%)
+    InferType: 25787us [25787us] (48.41%; 48.41%)
+    FoldScaleAxis: 27481us [10us] (51.59%; 51.59%)
+            FoldConstant: 27471us [1866us] (51.57%; 99.96%)
+                    InferType: 25605us [25605us] (48.07%; 93.21%)
 
 
 
@@ -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: 24389us [24389us] (48.35%; 48.35%)
-    FoldScaleAxis: 26051us [7us] (51.65%; 51.65%)
-            FoldConstant: 26044us [1775us] (51.63%; 99.97%)
-                    InferType: 24269us [24269us] (48.11%; 93.18%)
+    InferType: 25396us [25396us] (48.20%; 48.20%)
+    FoldScaleAxis: 27293us [9us] (51.80%; 51.80%)
+            FoldConstant: 27284us [1909us] (51.78%; 99.97%)
+                    InferType: 25375us [25375us] (48.16%; 93.00%)
 
 
 
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 5d334761d4..bac8f11275 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
@@ -331,7 +331,7 @@ latency of convolution.
 
  .. code-block:: none
 
-    Convolution: 40.914176 ms
+    Convolution: 33.187713 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 3d1e28c36e..4a8689f0fb 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -598,7 +598,7 @@ be able to run on our build server
 
  .. code-block:: none
 
-    conv2d with tensor core: 12.212176 ms
+    conv2d with tensor core: 11.775632 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 6e9979d6a8..bf6ec5998d 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: 0.018308
-    Baseline: 3.335973
+    Numpy running time: 0.013185
+    Baseline: 3.373362
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.282168
+    Opt1: 0.284793
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.266942
+    Opt2: 0.260446
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.111552
+    Opt3: 0.108912
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.104649
+    Opt4: 0.101019
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.107951
+    Opt5: 0.092574
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.129080
+    Opt6: 0.113868
 
 
 
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 ca22c50c9c..0ddc3b8bd0 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
 =================
-**00:33.352** total execution time for **how_to_optimize_operators** files:
+**00:31.796** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:30.032 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:28.510 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:02.114 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:02.060 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.206 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.226 | 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 a14ae4a88a..1ea8fa482f 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
 =================
-**03:47.293** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:53.015** 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``)             | 01:38.254 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:40.697 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:14.083 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:16.245 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:20.718 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:21.243 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:17.391 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:17.912 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.740 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.808 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.107 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.111 | 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 1d03c2c3ad..748c88dfdc 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: 0.335 ms
+    Execution time of this operator: 0.346 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 5312de2273..c84cd4c76e 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
@@ -632,7 +632,7 @@ 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)  
-       3.2103       3.2104       3.2106       3.2101       0.0002                  
+       3.2552       3.2479       3.2720       3.2457       0.0119                  
 
 
 
@@ -659,7 +659,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  14.083 seconds)
+   **Total running time of the script:** ( 1 minutes  16.245 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 fb5a7a46a5..a6f2a24be6 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
@@ -654,7 +654,7 @@ 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)  
-      745.0095     746.1379     749.8307     739.0600      4.4689                  
+      765.9137     765.9883     766.2782     765.4748      0.3322                  
 
 
 
@@ -681,7 +681,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  38.254 seconds)
+   **Total running time of the script:** ( 1 minutes  40.697 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 9fb39da767..a4e43f4f0d 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
 
 Computation times
 =================
-**00:24.902** total execution time for **how_to_tune_with_autotvm** files:
+**00:24.633** 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``)           | 00:24.859 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:24.594 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.025 | 0.0 MB |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)               | 00:00.006 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.021 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.006 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)               | 00:00.006 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)             | 00:00.006 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
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 9ae8dafd24..eedf9e6184 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: 0.037324
+    Time cost of this operator: 0.037008
 
 
 
diff --git a/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt b/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
index 7f61f83b51..c2fcb6be65 100644
--- a/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
@@ -274,7 +274,7 @@ device and returns the measured cost. Network overhead is excluded.
 
  .. code-block:: none
 
-    1.213e-07 secs/op
+    1.247e-07 secs/op
 
 
 
diff --git a/docs/_sources/how_to/tutorials/optimize_llm.rst.txt b/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
index 20c2de29bc..e64e07df01 100644
--- a/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
+++ b/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
@@ -858,7 +858,7 @@ IRModule to generate the token.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  21.211 seconds)
+   **Total running time of the script:** ( 1 minutes  24.176 seconds)
 
 
 .. _sphx_glr_download_how_to_tutorials_optimize_llm.py:
diff --git a/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt b/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
index d87a0e6e86..823b9d8f03 100644
--- a/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**01:25.752** total execution time for **how_to_tutorials** files:
+**01:28.732** total execution time for **how_to_tutorials** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``optimize_llm.py``)                           | 01:21.211 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``optimize_llm.py``)                           | 01:24.176 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``e2e_opt_model.py``)                         | 00:02.827 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``e2e_opt_model.py``)                         | 00:02.819 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.864 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)                         | 00:00.869 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)                         | 00:00.850 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.868 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
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 dd9de87680..6a2cb6872f 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  316.0     97.979   (1, 2, 10, 10, 3)  2       1        [316.0]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.592     1.424    (1, 6, 10, 10)     1       1        [4.592]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.926     0.597    (1, 1, 10, 10, 3)  1       1        [1.926]           
-    Total_time                                    -                                             322.518   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  325.8     97.981   (1, 2, 10, 10, 3)  2       1        [325.8]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.706     1.415    (1, 6, 10, 10)     1       1        [4.706]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         2.009     0.604    (1, 1, 10, 10, 3)  1       1        [2.009]           
+    Total_time                                    -                                             332.515   -        -                  -       -        -                 
 
 
 
@@ -428,10 +428,10 @@ Timing the tuned program
     ########## Build with Autotuning ##########
     Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)  
     ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------  
-    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.8     94.188   (1, 6, 10, 10, 1)  2       1        [100.8]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.264     3.984    (1, 6, 10, 10)     1       1        [4.264]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.956     1.828    (1, 1, 10, 10, 3)  1       1        [1.956]           
-    Total_time                                    -                                             107.019   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  140.6     95.572   (1, 6, 10, 10, 1)  2       1        [140.6]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.314     2.932    (1, 6, 10, 10)     1       1        [4.314]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         2.2       1.495    (1, 3, 10, 10, 1)  1       1        [2.2]             
+    Total_time                                    -                                             147.114   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  28.268 seconds)
+   **Total running time of the script:** ( 1 minutes  30.975 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 cf17ca0d13..a8978a9341 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:376: 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]     100%|##########| 3.42M/3.42M [00:00<00:00, 79.3MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 55.8MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py:98: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
       return torch.quantize_per_tensor(X, float(self.scale),
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py:99: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
@@ -324,7 +324,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  32.947 seconds)
+   **Total running time of the script:** ( 1 minutes  35.476 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 a6ddf23ae3..9ce6622cab 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
@@ -218,7 +218,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
  .. code-block:: none
 
 
-    '/tmp/tmpb0ndseao/images/random'
+    '/tmp/tmp6e86ymrv/images/random'
 
 
 
@@ -318,8 +318,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmpb0ndseao/images/target contains 8144 images
-    /tmp/tmpb0ndseao/images/random contains 5000 images
+    /tmp/tmp6e86ymrv/images/target contains 8144 images
+    /tmp/tmp6e86ymrv/images/random contains 5000 images
 
 
 
@@ -494,13 +494,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 47s - loss: 0.2072 - accuracy: 0.9271 - val_loss: 0.1434 - val_accuracy: 0.9494 - 47s/epoch - 142ms/step
+    328/328 - 49s - loss: 0.2145 - accuracy: 0.9267 - val_loss: 0.1139 - val_accuracy: 0.9600 - 49s/epoch - 148ms/step
     Epoch 2/3
-    328/328 - 44s - loss: 0.0975 - accuracy: 0.9649 - val_loss: 0.0877 - val_accuracy: 0.9709 - 44s/epoch - 133ms/step
+    328/328 - 45s - loss: 0.0952 - accuracy: 0.9651 - val_loss: 0.1036 - val_accuracy: 0.9660 - 45s/epoch - 137ms/step
     Epoch 3/3
-    328/328 - 43s - loss: 0.0642 - accuracy: 0.9748 - val_loss: 0.0987 - val_accuracy: 0.9687 - 43s/epoch - 132ms/step
+    328/328 - 45s - loss: 0.0609 - accuracy: 0.9751 - val_loss: 0.1106 - val_accuracy: 0.9660 - 45s/epoch - 136ms/step
 
-    <keras.callbacks.History object at 0x7f705fc998b0>
+    <keras.callbacks.History object at 0x7f021ea6bbb0>
 
 
 
@@ -861,7 +861,7 @@ 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  37.336 seconds)
+   **Total running time of the script:** ( 6 minutes  14.709 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 7d19d4bdf2..b12931c967 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
 =================
-**08:09.965** total execution time for **how_to_work_with_microtvm** files:
+**09:53.308** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:37.336 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 06:14.709 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:32.947 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:35.476 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:28.268 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:30.975 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.271 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.652 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.482 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:11.160 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.661 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.336 | 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 50ee165acf..18f7ef548a 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
 =================
-**00:41.037** total execution time for **how_to_work_with_relay** files:
+**00:39.668** 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``) | 00:34.939 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:34.032 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.991 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.774 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:02.101 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.855 | 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/sg_execution_times.rst.txt b/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
index 7539fb0763..ec52a7e3eb 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
@@ -5,20 +5,20 @@
 
 Computation times
 =================
-**00:03.260** total execution time for **how_to_work_with_schedules** files:
+**00:03.011** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.531 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.332 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.722 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.697 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.706 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.688 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.130 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.125 | 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_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.070 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.067 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.066 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.033 | 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 82c33551b0..02538c904f 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 28.65s!
+    yolov3-tiny inference graph built in 29.94s!
 
 
 
@@ -447,7 +447,7 @@ Download test image
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  4.321 seconds)
+   **Total running time of the script:** ( 1 minutes  7.242 seconds)
 
 
 .. _sphx_glr_download_topic_vta_tutorials_frontend_deploy_detection.py:
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 24995d1ae3..0393622fa1 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
 
 Computation times
 =================
-**01:04.321** total execution time for **topic_vta_tutorials_frontend** files:
+**01:07.242** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:04.321 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:07.242 | 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 c1c320acb7..fa16c7d357 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
 =================
-**00:03.497** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.563** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.983 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:03.041 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.514 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.523 | 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 84d6069191..bcd513b3ff 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
 =================
-**00:00.876** total execution time for **topic_vta_tutorials** files:
+**00:00.880** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.479 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.475 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.396 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.405 | 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 5474b68da7..8b5788db1d 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 91.155 ms
+    Execution time of this operator: 97.448 ms
 
 
 
@@ -416,7 +416,7 @@ resume the status and do more 5 trials.
  .. code-block:: none
 
     Resume search:
-
+    *E
 
 
 
@@ -434,7 +434,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  26.435 seconds)
+   **Total running time of the script:** ( 1 minutes  43.122 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 0d5c45369e..fab468de44 100644
--- a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
@@ -454,16 +454,16 @@ reduce variance, we take 5 measurements and average them.
     waiting for device...
     device available
     Get devices for measurement successfully!
-    No: 1   GFLOPS: 13.82/13.82     result: MeasureResult(costs=(0.0194171234,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.6318442821502686, timestamp=1730539540.6192737)       [('tile_y', [-1, 256]), ('tile_x', [-1, 64])],None,68
-    No: 2   GFLOPS: 8.97/13.82      result: MeasureResult(costs=(0.0299151302,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7930092811584473, timestamp=1730539541.3610857)       [('tile_y', [-1, 2]), ('tile_x', [-1, 16])],None,41
-    No: 3   GFLOPS: 9.49/13.82      result: MeasureResult(costs=(0.0282781086,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7480006217956543, timestamp=1730539542.072687)        [('tile_y', [-1, 512]), ('tile_x', [-1, 32])],None,59
-    No: 4   GFLOPS: 3.79/13.82      result: MeasureResult(costs=(0.0708563952,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4400436878204346, timestamp=1730539543.4655597)       [('tile_y', [-1, 64]), ('tile_x', [-1, 8])],None,36
-    No: 5   GFLOPS: 3.91/13.82      result: MeasureResult(costs=(0.06873698060000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3888490200042725, timestamp=1730539545.0624788)        [('tile_y', [-1, 32]), ('tile_x', [-1, 8])],None,35
-    No: 6   GFLOPS: 14.56/14.56     result: MeasureResult(costs=(0.0184409504,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6763482093811035, timestamp=1730539545.6216588)       [('tile_y', [-1, 64]), ('tile_x', [-1, 128])],None,76
-    No: 7   GFLOPS: 1.06/14.56      result: MeasureResult(costs=(0.25409235880000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.355304956436157, timestamp=1730539549.9456842) [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
-    No: 8   GFLOPS: 2.08/14.56      result: MeasureResult(costs=(0.1290077712,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3466031551361084, timestamp=1730539552.2689888)       [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
-    No: 9   GFLOPS: 4.44/14.56      result: MeasureResult(costs=(0.06043026119999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.216545581817627, timestamp=1730539553.8470178) [('tile_y', [-1, 16]), ('tile_x', [-1, 8])],None,34
-    No: 10  GFLOPS: 15.26/15.26     result: MeasureResult(costs=(0.0175897046,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.782768726348877, timestamp=1730539554.390737) [('tile_y', [-1, 64]), ('tile_x', [-1, 64])],None,66
+    No: 1   GFLOPS: 7.02/7.02       result: MeasureResult(costs=(0.038212272000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.01511287689209, timestamp=1730771211.5305367) [('tile_y', [-1, 64]), ('tile_x', [-1, 16])],None,46
+    No: 2   GFLOPS: 9.48/9.48       result: MeasureResult(costs=(0.028320459799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8620493412017822, timestamp=1730771212.2554572)       [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+    No: 3   GFLOPS: 11.36/11.36     result: MeasureResult(costs=(0.023624231399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.715395450592041, timestamp=1730771212.9079232)        [('tile_y', [-1, 32]), ('tile_x', [-1, 512])],None,95
+    No: 4   GFLOPS: 1.31/11.36      result: MeasureResult(costs=(0.20559474,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.617016315460205, timestamp=1730771216.465485)   [('tile_y', [-1, 2]), ('tile_x', [-1, 1])],None,1
+    No: 5   GFLOPS: 3.78/11.36      result: MeasureResult(costs=(0.0710117638,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4361927509307861, timestamp=1730771218.0143447)       [('tile_y', [-1, 32]), ('tile_x', [-1, 8])],None,35
+    No: 6   GFLOPS: 1.93/11.36      result: MeasureResult(costs=(0.1390781944,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.503568649291992, timestamp=1730771220.5015163)        [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+    No: 7   GFLOPS: 3.66/11.36      result: MeasureResult(costs=(0.0733476458,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4658937454223633, timestamp=1730771221.9405138)       [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
+    No: 8   GFLOPS: 8.54/11.36      result: MeasureResult(costs=(0.031427983799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7821896076202393, timestamp=1730771222.711037)        [('tile_y', [-1, 512]), ('tile_x', [-1, 32])],None,59
+    No: 9   GFLOPS: 12.57/12.57     result: MeasureResult(costs=(0.0213600056,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.60526442527771, timestamp=1730771223.4293232) [('tile_y', [-1, 32]), ('tile_x', [-1, 128])],None,75
+    No: 10  GFLOPS: 11.23/12.57     result: MeasureResult(costs=(0.023906016600000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6466236114501953, timestamp=1730771224.0848725)       [('tile_y', [-1, 16]), ('tile_x', [-1, 256])],None,84
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index c56578f952..4096b0a4d7 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': 480.52208958000176, 'median': 480.02373340000304, 'std': 1.8939232825171328}
+    {'mean': 496.9483201899993, 'median': 496.99613199999817, 'std': 2.9680941331046067}
 
 
 
@@ -582,29 +582,31 @@ the tuning data to.
 
  .. code-block:: none
 
-     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   13.27/  13.82 GFLOPS | Progress: (4/20) | 10.81 s     [Task  1/25]  Current/Best:   23.42/  23.62 GFLOPS | Progress: (8/20) | 13.09 s     [Task  1/25]  Current/Best:   10.06/  23.62 GFLOPS | Progress: (12/20) | 15.43 s     [Task  1/25]  Current/Best:   16.19/  23.62 GFLOPS | Progress: (16/20) | 17.76 s     [Task  1/25]  Current/Best:    9.66/  24.85 GFLOPS | Progress: (20/20) | 19.99 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:    5.87/  14.17 GFLOPS | Progress: (4/20) | 4.19 s     [Task  2/25]  Current/Best:   11.15/  16.29 GFLOPS | Progress: (8/20) | 5.73 s     [Task  2/25]  Current/Best:   15.20/  19.64 GFLOPS | Progress: (12/20) | 7.53 s     [Task  2/25]  Current/Best:    8.68/  19.64 GFLOPS | Progress: (16/20) | 8.93 s     [Task  2/25]  Current/Best:   16.80/  22.04 GFLOPS | Progress: (20/20) | 10.35 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   21.41/  21.41 GFLOPS | Progress: (4/20) | 5.06 s     [Task  3/25]  Current/Best:   15.45/  21.41 GFLOPS | Progress: (8/20) | 7.99 s     [Task  3/25]  Current/Best:   20.61/  21.41 GFLOPS | Progress: (12/20) | 9.79 s     [Task  3/25]  Current/Best:   20.95/  21.41 GFLOPS | Progress: (16/20) | 13.03 s     [Task  3/25]  Current/Best:   14.28/  21.41 GFLOPS | Progress: (20/20) | 16.05 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   22.96/  22.96 GFLOPS | Progress: (4/20) | 4.49 s     [Task  4/25]  Current/Best:    5.11/  22.96 GFLOPS | Progress: (8/20) | 6.98 s     [Task  4/25]  Current/Best:    3.89/  22.96 GFLOPS | Progress: (12/20) | 8.90 s     [Task  4/25]  Current/Best:   16.18/  22.96 GFLOPS | Progress: (16/20) | 11.47 s     [Task  4/25]  Current/Best:   16.64/  22.96 GFLOPS | Progress: (20/20) | 13.77 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:    5.35/  18.34 GFLOPS | Progress: (4/20) | 4.85 s     [Task  5/25]  Current/Best:   14.40/  20.54 GFLOPS | Progress: (8/20) | 6.58 s     [Task  5/25]  Current/Best:    3.36/  23.66 GFLOPS | Progress: (12/20) | 8.63 s     [Task  5/25]  Current/Best:    6.47/  23.66 GFLOPS | Progress: (16/20) | 10.54 s     [Task  5/25]  Current/Best:   11.94/  23.66 GFLOPS | Progress: (20/20) | 13.28 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    8.45/  16.21 GFLOPS | Progress: (4/20) | 6.26 s     [Task  6/25]  Current/Best:    5.37/  17.65 GFLOPS | Progress: (8/20) | 8.63 s     [Task  6/25]  Current/Best:   14.40/  19.10 GFLOPS | Progress: (12/20) | 11.01 s     [Task  6/25]  Current/Best:    4.17/  19.10 GFLOPS | Progress: (16/20) | 13.64 s     [Task  6/25]  Current/Best:   19.60/  19.60 GFLOPS | Progress: (20/20) | 15.65 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   11.91/  20.62 GFLOPS | Progress: (4/20) | 5.23 s     [Task  7/25]  Current/Best:   12.09/  20.62 GFLOPS | Progress: (8/20) | 9.76 s     [Task  7/25]  Current/Best:   19.81/  20.62 GFLOPS | Progress: (12/20) | 11.97 s     [Task  7/25]  Current/Best:   19.80/  20.62 GFLOPS | Progress: (16/20) | 14.61 s     [Task  7/25]  Current/Best:   22.34/  22.34 GFLOPS | Progress: (20/20) | 16.44 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (4/20) | 5.84 s     [Task  8/25]  Current/Best:   16.40/  20.70 GFLOPS | Progress: (8/20) | 9.04 s     [Task  8/25]  Current/Best:   13.71/  20.70 GFLOPS | Progress: (12/20) | 12.65 s     [Task  8/25]  Current/Best:    7.31/  20.70 GFLOPS | Progress: (16/20) | 24.42 s     [Task  8/25]  Current/Best:    5.04/  20.70 GFLOPS | Progress: (20/20) | 31.61 s     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   12.70/  15.70 GFLOPS | Progress: (4/20) | 5.02 s     [Task  9/25]  Current/Best:   15.53/  19.03 GFLOPS | Progress: (8/20) | 6.56 s     [Task  9/25]  Current/Best:    5.14/  19.03 GFLOPS | Progress: (12/20) | 13.70 s     [Task  9/25]  Current/Best:   16.61/  21.62 GFLOPS | Progress: (16/20) | 16.06 s     [Task  9/25]  Current/Best:   13.60/  21.62 GFLOPS | Progress: (20/20
 ) | 17.81 s Done.
-     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   18.21/  18.21 GFLOPS | Progress: (4/20) | 4.67 s     [Task 10/25]  Current/Best:    7.07/  18.21 GFLOPS | Progress: (8/20) | 6.59 s     [Task 10/25]  Current/Best:   14.97/  18.21 GFLOPS | Progress: (12/20) | 8.44 s     [Task 10/25]  Current/Best:   13.23/  18.76 GFLOPS | Progress: (16/20) | 10.62 s     [Task 10/25]  Current/Best:    9.68/  18.76 GFLOPS | Progress: (20/20) | 12.81 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    3.23/  22.30 GFLOPS | Progress: (4/20) | 5.52 s     [Task 11/25]  Current/Best:   13.22/  22.30 GFLOPS | Progress: (8/20) | 8.17 s     [Task 11/25]  Current/Best:   10.76/  22.30 GFLOPS | Progress: (12/20) | 10.76 s     [Task 11/25]  Current/Best:   10.86/  22.30 GFLOPS | Progress: (16/20) | 14.29 s     [Task 11/25]  Current/Best:   14.42/  22.30 GFLOPS | Progress: (20/20) | 18.01 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   14.53/  14.72 GFLOPS | Progress: (4/20) | 5.99 s     [Task 12/25]  Current/Best:    5.30/  18.58 GFLOPS | Progress: (8/20) | 8.81 s     [Task 12/25]  Current/Best:   22.01/  22.01 GFLOPS | Progress: (12/20) | 12.02 s     [Task 12/25]  Current/Best:   13.02/  22.01 GFLOPS | Progress: (16/20) | 15.49 s     [Task 12/25]  Current/Best:   14.50/  22.01 GFLOPS | Progress: (20/20) | 17.74 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   13.62/  20.91 GFLOPS | Progress: (4/20) | 5.87 s     [Task 13/25]  Current/Best:   13.60/  20.91 GFLOPS | Progress: (8/20) | 8.37 s     [Task 13/25]  Current/Best:    6.38/  20.91 GFLOPS | Progress: (12/20) | 12.07 s     [Task 13/25]  Current/Best:   11.30/  22.50 GFLOPS | Progress: (16/20) | 15.73 s     [Task 13/25]  Current/Best:   22.56/  22.56 GFLOPS | Progress: (20/20) | 20.28 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   22.41/  22.41 GFLOPS | Progress: (4/20) | 4.87 s     [Task 14/25]  Current/Best:   21.02/  22.41 GFLOPS | Progress: (8/20) | 10.49 s     [Task 14/25]  Current/Best:   13.79/  22.41 GFLOPS | Progress: (12/20) | 14.04 s     [Task 14/25]  Current/Best:    9.66/  22.41 GFLOPS | Progress: (16/20) | 21.08 s     [Task 14/25]  Current/Best:   12.15/  22.41 GFLOPS | Progress: (20/20) | 30.48 s Done.
-     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    9.16/  12.99 GFLOPS | Progress: (4/20) | 6.34 s     [Task 15/25]  Current/Best:    3.22/  17.61 GFLOPS | Progress: (8/20) | 9.12 s     [Task 15/25]  Current/Best:   10.31/  22.63 GFLOPS | Progress: (12/20) | 11.51 s     [Task 15/25]  Current/Best:   13.96/  22.63 GFLOPS | Progress: (16/20) | 16.84 s     [Task 15/25]  Current/Best:   13.85/  22.63 GFLOPS | Progress: (20/20) | 22.66 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   15.15/  18.93 GFLOPS | Progress: (4/20) | 4.09 s     [Task 16/25]  Current/Best:   14.74/  18.93 GFLOPS | Progress: (8/20) | 6.29 s     [Task 16/25]  Current/Best:    9.89/  21.30 GFLOPS | Progress: (12/20) | 10.04 s     [Task 16/25]  Current/Best:   18.21/  21.30 GFLOPS | Progress: (16/20) | 12.06 s     [Task 16/25]  Current/Best:    6.03/  21.30 GFLOPS | Progress: (20/20) | 14.30 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   12.85/  14.79 GFLOPS | Progress: (4/20) | 6.46 s     [Task 17/25]  Current/Best:   13.21/  20.26 GFLOPS | Progress: (8/20) | 9.97 s     [Task 17/25]  Current/Best:   24.16/  24.16 GFLOPS | Progress: (12/20) | 13.00 s     [Task 17/25]  Current/Best:   22.84/  24.16 GFLOPS | Progress: (16/20) | 15.25 s     [Task 17/25]  Current/Best:   16.59/  24.16 GFLOPS | Progress: (20/20) | 18.05 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:    7.37/  11.48 GFLOPS | Progress: (4/20) | 9.01 s     [Task 18/25]  Current/Best:    7.77/  19.30 GFLOPS | Progress: (8/20) | 12.35 s     [Task 18/25]  Current/Best:   20.15/  20.15 GFLOPS | Progress: (12/20) | 14.47 s     [Task 18/25]  Current/Best:   16.82/  20.80 GFLOPS | Progress: (16/20) | 16.44 s     [Task 18/25]  Current/Best:   12.44/  20.80 GFLOPS | Progress: (20/20) | 20.77 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    9.06/  20.30 GFLOPS | Progress: (4/20) | 7.30 s     [Task 19/25]  Current/Best:   10.06/  20.30 GFLOPS | Progress: (8/20) | 10.01 s     [Task 19/25]  Current/Best:    6.50/  20.30 GFLOPS | Progress: (12/20) | 14.88 s     [Task 19/25]  Current/Best:    9.24/  20.30 GFLOPS | Progress: (16/20) | 21.01 s     [Task 19/25]  Current/Best:    9.23/  22.79 GFLOPS | Progress: (20/20) | 23.89 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    7.96/   8.57 GFLOPS | Progress: (4/20) | 9.23 s     [Task 20/25]  Current/Best:   15.98/  15.98 GFLOPS | Progress: (8/20) | 12.96 s     [Task 20/25]  Current/Best:   19.63/  19.63 GFLOPS | Progress: (12/20) | 15.73 s     [Task 20/25]  Current/Best:    1.62/  19.63 GFLOPS | Progress: (16/20) | 28.60 s     [Task 20/25]  Current/Best:   17.31/  19.63 GFLOPS | Progress: (20/20) | 33.32 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   17.98/  17.98 GFLOPS | Progress: (4/20) | 15.30 s     [Task  1/25]  Current/Best:   20.79/  23.13 GFLOPS | Progress: (8/20) | 17.65 s     [Task  1/25]  Current/Best:    5.63/  23.84 GFLOPS | Progress: (12/20) | 21.38 s     [Task  1/25]  Current/Best:    9.89/  23.84 GFLOPS | Progress: (16/20) | 25.17 s     [Task  1/25]  Current/Best:   16.12/  23.84 GFLOPS | Progress: (20/20) | 28.40 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   13.28/  16.78 GFLOPS | Progress: (4/20) | 4.62 s     [Task  2/25]  Current/Best:   16.46/  16.78 GFLOPS | Progress: (8/20) | 6.15 s     [Task  2/25]  Current/Best:   16.87/  19.26 GFLOPS | Progress: (12/20) | 7.76 s     [Task  2/25]  Current/Best:   15.20/  19.26 GFLOPS | Progress: (16/20) | 9.87 s     [Task  2/25]  Current/Best:   13.61/  19.58 GFLOPS | Progress: (20/20) | 11.41 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   10.96/  16.77 GFLOPS | Progress: (4/20) | 4.97 s     [Task  3/25]  Current/Best:    7.30/  16.77 GFLOPS | Progress: (8/20) | 7.59 s     [Task  3/25]  Current/Best:    6.71/  17.82 GFLOPS | Progress: (12/20) | 10.14 s     [Task  3/25]  Current/Best:   12.39/  20.39 GFLOPS | Progress: (16/20) | 12.54 s     [Task  3/25]  Current/Best:   18.16/  23.96 GFLOPS | Progress: (20/20) | 14.67 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   13.43/  21.79 GFLOPS | Progress: (4/20) | 4.48 s     [Task  4/25]  Current/Best:   13.78/  21.79 GFLOPS | Progress: (8/20) | 7.77 s     [Task  4/25]  Current/Best:   11.90/  21.79 GFLOPS | Progress: (12/20) | 12.17 s     [Task  4/25]  Current/Best:   11.57/  21.79 GFLOPS | Progress: (16/20) | 15.74 s     [Task  4/25]  Current/Best:    6.77/  21.79 GFLOPS | Progress: (20/20) | 17.94 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:    5.00/  15.82 GFLOPS | Progress: (4/20) | 4.85 s     [Task  5/25]  Current/Best:   18.42/  18.42 GFLOPS | Progress: (8/20) | 6.81 s     [Task  5/25]  Current/Best:    5.86/  18.42 GFLOPS | Progress: (12/20) | 9.58 s     [Task  5/25]  Current/Best:   20.38/  20.38 GFLOPS | Progress: (16/20) | 11.43 s     [Task  5/25]  Current/Best:   12.00/  20.38 GFLOPS | Progress: (20/20) | 13.98 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    5.75/  13.51 GFLOPS | Progress: (4/20) | 6.11 s     [Task  6/25]  Current/Best:   10.93/  15.94 GFLOPS | Progress: (8/20) | 8.75 s     [Task  6/25]  Current/Best:    8.68/  19.60 GFLOPS | Progress: (12/20) | 14.17 s     [Task  6/25]  Current/Best:   12.46/  19.60 GFLOPS | Progress: (16/20) | 16.27 s     [Task  6/25]  Current/Best:   12.43/  19.60 GFLOPS | Progress: (20/20) | 18.93 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   19.05/  19.48 GFLOPS | Progress: (4/20) | 5.26 s     [Task  7/25]  Current/Best:   16.27/  19.48 GFLOPS | Progress: (8/20) | 7.69 s     [Task  7/25]  Current/Best:    7.21/  22.15 GFLOPS | Progress: (12/20) | 10.05 s     [Task  7/25]  Current/Best:   12.39/  22.15 GFLOPS | Progress: (16/20) | 13.64 s     [Task  7/25]  Current/Best:   19.52/  22.15 GFLOPS | Progress: (20/20) | 16.00 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    3.34/  17.97 GFLOPS | Progress: (4/20) | 9.04 s     [Task  8/25]  Current/Best:   15.86/  17.97 GFLOPS | Progress: (8/20) | 13.10 s     [Task  8/25]  Current/Best:   13.70/  17.97 GFLOPS | Progress: (12/20) | 15.81 s     [Task  8/25]  Current/Best:   11.89/  17.97 GFLOPS | Progress: (16/20) | 19.51 s     [Task  8/25]  Current/Best:   14.78/  17.97 GFLOPS | Progress: (20/20) | 25.27 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   14.48/  14.48 GFLOPS | Progress: (4/20) | 9.09 s     [Task  9/25]  Current/Best:   10.49/  14.48 GFLOPS | Progress: (8/20) | 20.26 s     [Task  9/25]  Current/Best:   19.64/  19.64 GFLOPS | Progress: (12/20) | 23.69 s     [Task  9/25]  Current/Best:    8.62/  19.64 GFLOPS | Progress: (16/20) | 28.10 s     [Task  9/25]  Current/Best:   12.04/  19.64 GFLOPS | Progress: (20/20) | 33.07 s     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:    5.22/  10.94 GFLOPS | Progress: (4/20) | 5.31 s     [Task 10/25]  Current/Best:   17.98/  21.28 GFLOPS | Progress: (8/20) | 7.05 s     [Task 10/25]  Current/Best:    1.60/  21.28 GFLOPS | Progress: (12/20) | 10.54 s     [Task 10/25]  Current/Best:   13.27/  21.28 GFLOPS | Progress: (16/20) | 12.86 s     [Task 10/25]  Current/Best:    7.90/  21.28 GFLOPS | Progress: (20/2
 0) | 14.70 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    6.28/  18.94 GFLOPS | Progress: (4/20) | 5.21 s     [Task 11/25]  Current/Best:   20.80/  20.80 GFLOPS | Progress: (8/20) | 7.44 s     [Task 11/25]  Current/Best:   10.13/  20.80 GFLOPS | Progress: (12/20) | 10.34 s     [Task 11/25]  Current/Best:    8.35/  20.80 GFLOPS | Progress: (16/20) | 12.66 s     [Task 11/25]  Current/Best:   20.63/  20.80 GFLOPS | Progress: (20/20) | 16.28 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:    7.98/  13.98 GFLOPS | Progress: (4/20) | 7.13 s     [Task 12/25]  Current/Best:   13.15/  15.03 GFLOPS | Progress: (8/20) | 11.43 s     [Task 12/25]  Current/Best:   14.66/  21.06 GFLOPS | Progress: (12/20) | 14.64 s     [Task 12/25]  Current/Best:   14.96/  21.06 GFLOPS | Progress: (16/20) | 17.35 s     [Task 12/25]  Current/Best:    8.63/  21.06 GFLOPS | Progress: (20/20) | 20.23 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:    6.22/  18.58 GFLOPS | Progress: (4/20) | 5.56 s     [Task 13/25]  Current/Best:    7.29/  18.58 GFLOPS | Progress: (8/20) | 9.17 s     [Task 13/25]  Current/Best:    9.33/  21.09 GFLOPS | Progress: (12/20) | 12.46 s     [Task 13/25]  Current/Best:    8.51/  21.09 GFLOPS | Progress: (16/20) | 15.94 s     [Task 13/25]  Current/Best:   10.04/  21.09 GFLOPS | Progress: (20/20) | 19.58 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   11.06/  19.61 GFLOPS | Progress: (4/20) | 5.69 s     [Task 14/25]  Current/Best:    6.99/  19.61 GFLOPS | Progress: (8/20) | 16.56 s     [Task 14/25]  Current/Best:   12.95/  19.61 GFLOPS | Progress: (12/20) | 20.66 s     [Task 14/25]  Current/Best:    9.80/  19.61 GFLOPS | Progress: (16/20) | 24.12 s     [Task 14/25]  Current/Best:    4.63/  19.61 GFLOPS | Progress: (20/20) | 35.48 s Done.
+     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   19.97/  19.97 GFLOPS | Progress: (4/20) | 8.10 s     [Task 15/25]  Current/Best:   14.13/  19.97 GFLOPS | Progress: (8/20) | 10.45 s     [Task 15/25]  Current/Best:   10.33/  20.61 GFLOPS | Progress: (12/20) | 14.04 s     [Task 15/25]  Current/Best:   15.17/  20.61 GFLOPS | Progress: (16/20) | 15.85 s     [Task 15/25]  Current/Best:   15.90/  20.61 GFLOPS | Progress: (20/20) | 22.61 s Done.
+     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:    7.12/  18.50 GFLOPS | Progress: (4/20) | 5.70 s     [Task 16/25]  Current/Best:    4.20/  18.50 GFLOPS | Progress: (8/20) | 7.78 s     [Task 16/25]  Current/Best:   13.20/  18.50 GFLOPS | Progress: (12/20) | 10.12 s     [Task 16/25]  Current/Best:   14.50/  18.50 GFLOPS | Progress: (16/20) | 11.93 s     [Task 16/25]  Current/Best:   12.86/  18.50 GFLOPS | Progress: (20/20) | 15.03 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    9.88/  19.14 GFLOPS | Progress: (4/20) | 5.46 s     [Task 17/25]  Current/Best:    8.92/  19.71 GFLOPS | Progress: (8/20) | 9.77 s     [Task 17/25]  Current/Best:    8.61/  23.50 GFLOPS | Progress: (12/20) | 12.15 s     [Task 17/25]  Current/Best:   12.31/  23.50 GFLOPS | Progress: (16/20) | 14.30 s     [Task 17/25]  Current/Best:    5.29/  23.50 GFLOPS | Progress: (20/20) | 17.25 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:    9.60/  19.11 GFLOPS | Progress: (4/20) | 6.15 s     [Task 18/25]  Current/Best:    6.81/  19.11 GFLOPS | Progress: (8/20) | 9.58 s     [Task 18/25]  Current/Best:   19.38/  19.38 GFLOPS | Progress: (12/20) | 12.26 s     [Task 18/25]  Current/Best:    7.83/  19.73 GFLOPS | Progress: (16/20) | 16.33 s     [Task 18/25]  Current/Best:   15.90/  21.41 GFLOPS | Progress: (20/20) | 18.58 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   18.68/  18.68 GFLOPS | Progress: (4/20) | 6.03 s     [Task 19/25]  Current/Best:    8.93/  18.68 GFLOPS | Progress: (8/20) | 10.93 s     [Task 19/25]  Current/Best:   10.50/  18.68 GFLOPS | Progress: (12/20) | 17.18 s     [Task 19/25]  Current/Best:   18.85/  18.85 GFLOPS | Progress: (16/20) | 19.91 s     [Task 19/25]  Current/Best:   21.79/  21.79 GFLOPS | Progress: (20/20) | 24.67 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   10.80/  10.80 GFLOPS | Progress: (4/20) | 6.99 s     [Task 20/25]  Current/Best:   16.36/  20.86 GFLOPS | Progress: (8/20) | 9.67 s     [Task 20/25]  Current/Best:   14.06/  20.86 GFLOPS | Progress: (12/20) | 21.68 s     [Task 20/25]  Current/Best:   17.38/  20.86 GFLOPS | Progress: (16/20) | 25.73 s     [Task 20/25]  Current/Best:    5.46/  20.86 GFLOPS | Progress: (20/20) | 32.73 s     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
      Done.
-     [Task 21/25]  Current/Best:   12.60/  20.03 GFLOPS | Progress: (4/20) | 4.92 s     [Task 21/25]  Current/Best:   21.17/  21.17 GFLOPS | Progress: (8/20) | 15.97 s     [Task 21/25]  Current/Best:    1.68/  22.87 GFLOPS | Progress: (12/20) | 20.62 s     [Task 21/25]  Current/Best:   18.08/  22.87 GFLOPS | Progress: (16/20) | 22.77 s     [Task 21/25]  Current/Best:   10.11/  22.87 GFLOPS | Progress: (20/20) | 24.82 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   10.61/  20.73 GFLOPS | Progress: (4/20) | 4.63 s     [Task 22/25]  Current/Best:    4.60/  22.15 GFLOPS | Progress: (8/20) | 7.87 s     [Task 22/25]  Current/Best:   11.25/  22.15 GFLOPS | Progress: (12/20) | 9.69 s     [Task 22/25]  Current/Best:    2.70/  22.15 GFLOPS | Progress: (16/20) | 12.31 s     [Task 22/25]  Current/Best:   18.71/  22.15 GFLOPS | Progress: (20/20) | 14.62 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   10.92/  23.00 GFLOPS | Progress: (4/20) | 6.99 s     [Task 23/25]  Current/Best:   23.84/  24.46 GFLOPS | Progress: (8/20) | 9.45 s     [Task 23/25]  Current/Best:   19.54/  24.46 GFLOPS | Progress: (12/20) | 13.62 s     [Task 23/25]  Current/Best:   11.66/  24.46 GFLOPS | Progress: (16/20) | 18.42 s     [Task 23/25]  Current/Best:    3.18/  24.46 GFLOPS | Progress: (20/20) | 24.48 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    1.89/   5.55 GFLOPS | Progress: (4/20) | 12.00 s     [Task 24/25]  Current/Best:    3.13/   5.55 GFLOPS | Progress: (8/20) | 20.21 s     [Task 24/25]  Current/Best:    2.54/   6.21 GFLOPS | Progress: (12/20) | 31.22 s     [Task 24/25]  Current/Best:    6.48/   6.48 GFLOPS | Progress: (16/20) | 41.96 s     [Task 24/25]  Current/Best:    3.35/   8.60 GFLOPS | Progress: (20/20) | 54.70 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    1.49/   9.38 GFLOPS | Progress: (4/20) | 7.22 s     [Task 25/25]  Current/Best:    7.99/   9.38 GFLOPS | Progress: (8/20) | 13.83 s     [Task 25/25]  Current/Best:    4.10/   9.38 GFLOPS | Progress: (12/20) | 16.13 s     [Task 25/25]  Current/Best:    2.86/   9.38 GFLOPS | Progress: (16/20) | 27.11 s     [Task 25/25]  Current/Best:   10.41/  10.41 GFLOPS | Progress: (20
 /20) | 34.24 s
+     [Task 21/25]  Current/Best:   18.03/  19.91 GFLOPS | Progress: (4/20) | 5.30 s     [Task 21/25]  Current/Best:    9.13/  19.91 GFLOPS | Progress: (8/20) | 7.39 s     [Task 21/25]  Current/Best:   21.15/  21.15 GFLOPS | Progress: (12/20) | 18.50 s     [Task 21/25]  Current/Best:    7.77/  21.15 GFLOPS | Progress: (16/20) | 26.08 s     [Task 21/25]  Current/Best:   12.31/  21.15 GFLOPS | Progress: (20/20) | 37.21 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:    7.06/  22.08 GFLOPS | Progress: (4/20) | 6.37 s     [Task 22/25]  Current/Best:    5.96/  22.08 GFLOPS | Progress: (8/20) | 8.33 s     [Task 22/25]  Current/Best:    8.11/  22.08 GFLOPS | Progress: (12/20) | 11.82 s     [Task 22/25]  Current/Best:    6.18/  22.08 GFLOPS | Progress: (16/20) | 14.31 s     [Task 22/25]  Current/Best:   17.03/  22.08 GFLOPS | Progress: (20/20) | 16.07 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:    7.09/  18.59 GFLOPS | Progress: (4/20) | 7.89 s     [Task 23/25]  Current/Best:   22.81/  22.81 GFLOPS | Progress: (8/20) | 11.35 s     [Task 23/25]  Current/Best:    5.34/  22.81 GFLOPS | Progress: (12/20) | 14.21 s     [Task 23/25]  Current/Best:    5.36/  22.81 GFLOPS | Progress: (16/20) | 17.59 s     [Task 23/25]  Current/Best:   20.77/  22.81 GFLOPS | Progress: (20/20) | 20.37 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    3.68/   7.06 GFLOPS | Progress: (4/20) | 13.84 s     [Task 24/25]  Current/Best:    3.52/   7.06 GFLOPS | Progress: (8/20) | 24.90 s     [Task 24/25]  Current/Best:    3.65/   7.06 GFLOPS | Progress: (12/20) | 35.95 s     [Task 24/25]  Current/Best:    8.18/   8.18 GFLOPS | Progress: (16/20) | 39.71 s     [Task 24/25]  Current/Best:    1.93/   8.18 GFLOPS | Progress: (20/20) | 44.00 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    1.55/   1.55 GFLOPS | Progress: (4/20) | 13.51 s Done.
+     Done.
+     [Task 25/25]  Current/Best:    8.26/   8.26 GFLOPS | Progress: (8/20) | 16.90 s     [Task 25/25]  Current/Best:    1.55/   8.58 GFLOPS | Progress: (12/20) | 27.91 s     [Task 25/25]  Current/Best:    3.00/   8.58 GFLOPS | Progress: (16/20) | 31.20 s     [Task 25/25]  Current/Best:    8.96/   8.96 GFLOPS | Progress: (20/20) | 33.13 s
 
 
 
@@ -673,8 +675,6 @@ model using optimized operators to speed up our computations.
  .. code-block:: none
 
      Done.
-     Done.
-     Done.
 
 
 
@@ -708,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
 
  .. code-block:: none
 
-    class='n02123045 tabby, tabby cat' with probability=0.621103
-    class='n02123159 tiger cat' with probability=0.356379
+    class='n02123045 tabby, tabby cat' with probability=0.621105
+    class='n02123159 tiger cat' with probability=0.356377
     class='n02124075 Egyptian cat' with probability=0.019712
     class='n02129604 tiger, Panthera tigris' with probability=0.001215
     class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 385.9647042699976, 'median': 385.7242821, 'std': 3.452891673095948}
-    unoptimized: {'mean': 480.52208958000176, 'median': 480.02373340000304, 'std': 1.8939232825171328}
+    optimized: {'mean': 419.62898517999975, 'median': 418.7346512999966, 'std': 2.6652404683162523}
+    unoptimized: {'mean': 496.9483201899993, 'median': 496.99613199999817, 'std': 2.9680941331046067}
 
 
 
@@ -790,7 +790,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  20.619 seconds)
+   **Total running time of the script:** ( 13 minutes  57.070 seconds)
 
 
 .. _sphx_glr_download_tutorial_autotvm_relay_x86.py:
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index c7be58e4c1..724d6d0280 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, 0x178ca8d0)), stage(b, placeholder(b, 0x192cbd90)), 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, 0x29952ef0)), stage(b, placeholder(b, 0x298c1250)), 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 d36e4c8303..760783b593 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,22 +5,22 @@
 
 Computation times
 =================
-**16:50.629** total execution time for **tutorial** files:
+**17:49.699** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:20.619 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:57.070 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:26.435 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:43.122 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:55.535 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 01:00.358 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:43.999 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:46.050 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:21.697 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:20.871 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:01.453 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:01.301 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.891 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.927 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)                                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index 7a7e3e27cd..61970ae718 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: 0.000008
+    naive: 0.000008
 
 
 
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
 
  .. code-block:: none
 
-    parallel: 0.000006
+    parallel: 0.000009
 
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000100
+    vector: 0.000102
     # 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    5.738869999731833e-06                    1.0
-                   naive              5.8293e-06      1.0157574575260275
-                parallel              6.0716e-06      1.0579783128531774
-                  vector             9.95382e-05      17.344564348844152
+                   numpy    8.037239999794111e-06                    1.0
+                   naive              7.6919e-06      0.9570325136734803
+                parallel              9.3131e-06      1.1587435488101105
+                  vector    0.00010188839999999998    12.677038386636463
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.015697
+    Numpy running time: 0.019004
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.123986
+    none: 3.419816
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.283077
+    blocking: 0.291661
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.258079
+    vectorization: 0.271715
     # 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: 0.110129
+    loop permutation: 0.115754
     # 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: 0.103417
+    array packing: 0.106834
     # 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: 0.096935
+    block caching: 0.111662
     # 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: 0.116652
+    parallelization: 0.134211
     # 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            3.1239860145                     1.0
-                blocking            0.2830771943      0.0906141042200879
-           vectorization            0.2580791889     0.08261214605383119
-        loop permutation     0.11012893879999999     0.03525269904821464
-           array packing            0.1034168038    0.033104118686828395
-           block caching     0.09693465949999999     0.03102915923761412
-         parallelization            0.1166522248    0.037340828114645196
+                    none            3.4198159803                     1.0
+                blocking            0.2916609604     0.08528557152786166
+           vectorization     0.27171542730000003     0.07945323048527425
+        loop permutation     0.11575409839999999     0.03384804886192899
+           array packing     0.10683359350000002    0.031239573741809388
+           block caching            0.1116615501     0.03265133292061072
+         parallelization            0.1342108767    0.039245058059593746
 
 
 
@@ -1594,6 +1594,11 @@ operations with tunable parameters that allows you to automatically optimize
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+.. rst-class:: sphx-glr-timing
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index 3c075542fc..42fe855cca 100644
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@@ -381,7 +381,7 @@
             
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index a43e46e1b6..8b967840de 100644
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diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 8ad7b63570..93b34d2cf9 100644
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diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 24ffbfcdd4..fe9ffb1a05 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -523,7 +523,7 @@ To begin, we’ll install PaddlePaddle&gt;=2.1.3:</p>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-paddle-py">
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diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index 8d04c7aad7..da53681cbe 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -471,18 +471,10 @@ be unstable.</p>
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
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--- a/docs/how_to/compile_models/from_tensorflow.html
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@@ -688,7 +688,7 @@ banana (score = 0.00022)
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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
index 53aae46650..2058c07138 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>06:55.368</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
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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 67c453b3e8..a07519e2d2 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
@@ -478,26 +478,34 @@ 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 f74737f131..e1967afaee 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -702,7 +702,7 @@ to the remote android device.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  14.7787      14.7774      15.6561      14.0508       0.5064
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 </pre></div>
 </div>
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diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
index 1dbf44996d..227f9ce738 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -494,17 +494,28 @@ be unstable.</p>
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 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/detection/generalized_rcnn.py:75: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won&#39;t change the number of iterations executed (and might lead to errors or silently give incorrect results).
   for img in images:
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@@ -633,7 +644,7 @@ 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>
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diff --git a/docs/how_to/deploy_models/deploy_prequantized.html b/docs/how_to/deploy_models/deploy_prequantized.html
index a4274c3167..e09610379f 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -535,8 +535,9 @@ training. Other models require a full post training calibration.</p>
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 </div>
 </div>
@@ -625,7 +626,7 @@ 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)
-  86.3443      86.3009      87.0672      85.8463       0.2624
+  84.6374      84.5183      87.6922      84.3257       0.4191
 </pre></div>
 </div>
 <div class="admonition note">
@@ -664,7 +665,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
 <div class="section" id="deploy-a-quantized-tflite-model">
 <h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
 <p>TODO</p>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  31.707 seconds)</p>
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diff --git a/docs/how_to/deploy_models/deploy_prequantized_tflite.html b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
index 99d8765b28..eb2399d5a2 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -620,7 +620,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
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-  106.1168     106.1242     107.4072     105.2464      0.3443
+  103.0701     102.9835     105.9936     102.1163      0.6583
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 <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 44f6990bbf..2e227ca06c 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -381,7 +381,7 @@
             
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 <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>
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diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index d3fa52ae28..c2683dbeed 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <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>
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diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 292500a149..508efba4e9 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -565,10 +565,10 @@ profile the execution time of each passes.</p>
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 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24856us [24856us] (48.46%; 48.46%)
-FoldScaleAxis: 26433us [9us] (51.54%; 51.54%)
-        FoldConstant: 26425us [1816us] (51.52%; 99.97%)
-                InferType: 24608us [24608us] (47.98%; 93.13%)
+InferType: 25787us [25787us] (48.41%; 48.41%)
+FoldScaleAxis: 27481us [10us] (51.59%; 51.59%)
+        FoldConstant: 27471us [1866us] (51.57%; 99.96%)
+                InferType: 25605us [25605us] (48.07%; 93.21%)
 </pre></div>
 </div>
 </div>
@@ -590,10 +590,10 @@ 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: 24389us [24389us] (48.35%; 48.35%)
-FoldScaleAxis: 26051us [7us] (51.65%; 51.65%)
-        FoldConstant: 26044us [1775us] (51.63%; 99.97%)
-                InferType: 24269us [24269us] (48.11%; 93.18%)
+InferType: 25396us [25396us] (48.20%; 48.20%)
+FoldScaleAxis: 27293us [9us] (51.80%; 51.80%)
+        FoldConstant: 27284us [1909us] (51.78%; 99.97%)
+                InferType: 25375us [25375us] (48.16%; 93.00%)
 </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 f7ad853e7c..12a8d0569e 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -615,7 +615,7 @@ latency of convolution.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Convolution: </span><span class="si">%f</span><span class="s2"> ms&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">*</span> <span cl [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 40.914176 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 33.187713 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 7abae81caa..cdc478afe6 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -897,7 +897,7 @@ be able to run on our build server</p>
     <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.212176 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.775632 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 c8b33bd59c..849e0f0f08 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -512,8 +512,8 @@ 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: 0.018308
-Baseline: 3.335973
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.013185
+Baseline: 3.373362
 </pre></div>
 </div>
 <p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -572,7 +572,7 @@ 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: 0.282168
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.284793
 </pre></div>
 </div>
 <p>Here is the generated IR after blocking.</p>
@@ -629,7 +629,7 @@ 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: 0.266942
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.260446
 </pre></div>
 </div>
 <p>Here is the generated IR after vectorization.</p>
@@ -684,7 +684,7 @@ 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: 0.111552
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.108912
 </pre></div>
 </div>
 <p>Here is the generated IR after loop permutation.</p>
@@ -761,7 +761,7 @@ 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: 0.104649
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.101019
 </pre></div>
 </div>
 <p>Here is the generated IR after array packing.</p>
@@ -839,7 +839,7 @@ 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: 0.107951
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.092574
 </pre></div>
 </div>
 <p>Here is the generated IR after blocking.</p>
@@ -919,7 +919,7 @@ 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: 0.129080
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.113868
 </pre></div>
 </div>
 <p>Here is the generated IR after parallelization.</p>
diff --git a/docs/how_to/optimize_operators/sg_execution_times.html b/docs/how_to/optimize_operators/sg_execution_times.html
index 732cad5e30..f56a3f4761 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-optimize-operators-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:33.352</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:31.796</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -390,15 +390,15 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></td>
-<td><p>00:30.032</p></td>
+<td><p>00:28.510</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></td>
-<td><p>00:02.114</p></td>
+<td><p>00:02.060</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></td>
-<td><p>00:01.206</p></td>
+<td><p>00:01.226</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
index 896a444823..e13fe28663 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-tune-with-autoscheduler-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>03:47.293</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:53.015</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 85%" />
@@ -390,27 +390,27 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="tune_network_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-x86-py"><span class="std std-ref">Auto-scheduling a Neural Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_x86.py</span></code>)</p></td>
-<td><p>01:38.254</p></td>
+<td><p>01:40.697</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tune_network_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-cuda-py"><span class="std std-ref">Auto-scheduling a Neural Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_cuda.py</span></code>)</p></td>
-<td><p>01:14.083</p></td>
+<td><p>01:16.245</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tune_network_arm.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-arm-py"><span class="std std-ref">Auto-scheduling a Neural Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_arm.py</span></code>)</p></td>
-<td><p>00:20.718</p></td>
+<td><p>00:21.243</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tune_network_mali.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-mali-py"><span class="std std-ref">Auto-scheduling a Neural Network for mali GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_mali.py</span></code>)</p></td>
-<td><p>00:17.391</p></td>
+<td><p>00:17.912</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_layer_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py"><span class="std std-ref">Auto-scheduling a Convolution Layer for GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_layer_cuda.py</span></code>)</p></td>
-<td><p>00:16.740</p></td>
+<td><p>00:16.808</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py"><span class="std std-ref">Auto-scheduling Sparse Matrix Multiplication on CPU with Custom Sketch Rule</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_sparse_x86.py</span></code>)</p></td>
-<td><p>00:00.107</p></td>
+<td><p>00:00.111</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index aba3c2a716..c29ed84312 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -1052,7 +1052,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.335 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.346 ms
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
index 7379da258a..81c3b223cc 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -942,7 +942,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-   3.2103       3.2104       3.2106       3.2101       0.0002
+   3.2552       3.2479       3.2720       3.2457       0.0119
 </pre></div>
 </div>
 </div>
@@ -964,7 +964,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
 </ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  14.083 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  16.245 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-cuda-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 3a9ca50b49..18949e82bd 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -964,7 +964,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  745.0095     746.1379     749.8307     739.0600      4.4689
+  765.9137     765.9883     766.2782     765.4748      0.3322
 </pre></div>
 </div>
 </div>
@@ -986,7 +986,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
 </ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.254 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  40.697 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-x86-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/e416b94ca1090b0897c0f6e0df95b911/tune_network_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_x86.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index 43d4722778..603e50a225 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:24.902</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:24.633</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -390,18 +390,18 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></td>
-<td><p>00:24.859</p></td>
+<td><p>00:24.594</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></td>
-<td><p>00:00.025</p></td>
+<td><p>00:00.021</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
 <td><p>00:00.006</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
 <td><p>00:00.006</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index 68fb5919ae..bb01853d49 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -650,7 +650,7 @@ and measure running time.</p>
 
 Best config:
 ,None
-Time cost of this operator: 0.037324
+Time cost of this operator: 0.037008
 </pre></div>
 </div>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autotvm-tune-conv2d-cuda-py">
diff --git a/docs/how_to/tutorials/cross_compilation_and_rpc.html b/docs/how_to/tutorials/cross_compilation_and_rpc.html
index 55890481fe..2c5f71d318 100644
--- a/docs/how_to/tutorials/cross_compilation_and_rpc.html
+++ b/docs/how_to/tutorials/cross_compilation_and_rpc.html
@@ -561,7 +561,7 @@ 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>1.213e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.247e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/tutorials/optimize_llm.html b/docs/how_to/tutorials/optimize_llm.html
index 6b55757d0d..71d7a468a9 100644
--- a/docs/how_to/tutorials/optimize_llm.html
+++ b/docs/how_to/tutorials/optimize_llm.html
@@ -985,7 +985,7 @@ IRModule to generate the token.</p>
     <span class="nb">print</span><span class="p">(</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="n">output_tokens</span><span class="p">))</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  21.211 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  24.176 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tutorials-optimize-llm-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/fb98884d1e98b239c77e2b86f43d4ac2/optimize_llm.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">optimize_llm.py</span></code></a></p>
diff --git a/docs/how_to/tutorials/sg_execution_times.html b/docs/how_to/tutorials/sg_execution_times.html
index d29ce93d52..656266ef1a 100644
--- a/docs/how_to/tutorials/sg_execution_times.html
+++ b/docs/how_to/tutorials/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:25.752</strong> total execution time for <strong>how_to_tutorials</strong> files:</p>
+<p><strong>01:28.732</strong> total execution time for <strong>how_to_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -390,19 +390,19 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="optimize_llm.html#sphx-glr-how-to-tutorials-optimize-llm-py"><span class="std std-ref">Optimize Large Language Model</span></a> (<code class="docutils literal notranslate"><span class="pre">optimize_llm.py</span></code>)</p></td>
-<td><p>01:21.211</p></td>
+<td><p>01:24.176</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="e2e_opt_model.html#sphx-glr-how-to-tutorials-e2e-opt-model-py"><span class="std std-ref">End-to-End Optimize Model</span></a> (<code class="docutils literal notranslate"><span class="pre">e2e_opt_model.py</span></code>)</p></td>
-<td><p>00:02.827</p></td>
+<td><p>00:02.819</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="cross_compilation_and_rpc.html#sphx-glr-how-to-tutorials-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>00:00.864</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span class="std std-ref">Customize Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">customize_opt.py</span></code>)</p></td>
+<td><p>00:00.869</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span class="std std-ref">Customize Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">customize_opt.py</span></code>)</p></td>
-<td><p>00:00.850</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="cross_compilation_and_rpc.html#sphx-glr-how-to-tutorials-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>00:00.868</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/work_with_microtvm/micro_autotune.html b/docs/how_to/work_with_microtvm/micro_autotune.html
index 26062b082c..1050302d72 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -684,10 +684,10 @@ the tuned operator.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  316.0     97.979   (1, 2, 10, 10, 3)  2       1        [316.0]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.592     1.424    (1, 6, 10, 10)     1       1        [4.592]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.926     0.597    (1, 1, 10, 10, 3)  1       1        [1.926]
-Total_time                                    -                                             322.518   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  325.8     97.981   (1, 2, 10, 10, 3)  2       1        [325.8]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.706     1.415    (1, 6, 10, 10)     1       1        [4.706]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         2.009     0.604    (1, 1, 10, 10, 3)  1       1        [2.009]
+Total_time                                    -                                             332.515   -        -                  -       -        -
 </pre></div>
 </div>
 </div>
@@ -739,13 +739,13 @@ Total_time                                    -
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.8     94.188   (1, 6, 10, 10, 1)  2       1        [100.8]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.264     3.984    (1, 6, 10, 10)     1       1        [4.264]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.956     1.828    (1, 1, 10, 10, 3)  1       1        [1.956]
-Total_time                                    -                                             107.019   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  140.6     95.572   (1, 6, 10, 10, 1)  2       1        [140.6]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       4.314     2.932    (1, 6, 10, 10)     1       1        [4.314]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         2.2       1.495    (1, 3, 10, 10, 1)  1       1        [2.2]
+Total_time                                    -                                             147.114   -        -                  -       -        -
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  28.268 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  30.975 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-autotune-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/9ccca8fd489a1486ac71b55a55c320c5/micro_autotune.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_autotune.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index ce858ed859..b1385fe8af 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -495,7 +495,7 @@ download a cat image and preprocess it to use as the model input.</p>
 Downloading: &quot;https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth&quot; to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
 
   0%|          | 0.00/3.42M [00:00&lt;?, ?B/s]
-100%|##########| 3.42M/3.42M [00:00&lt;00:00, 79.3MB/s]
+100%|##########| 3.42M/3.42M [00:00&lt;00:00, 55.8MB/s]
 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py:98: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can&#39;t record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
   return torch.quantize_per_tensor(X, float(self.scale),
 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/nn/quantized/modules/__init__.py:99: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can&#39;t record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
@@ -621,7 +621,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
 Torch top-1 id: 282, class name: tiger cat
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  32.947 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.476 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-pytorch-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/12b9ecc04c41abaa12022061771821d1/micro_pytorch.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_pytorch.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_train.html b/docs/how_to/work_with_microtvm/micro_train.html
index 718c39c613..fb530a84ee 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -564,7 +564,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
 <a href="https://docs.python.org/3/library/shutil.html#shutil.move" title="shutil.move" class="sphx-glr-backref-module-shutil sphx-glr-backref-type-py-function"><span class="n">shutil</span><span class="o">.</span><span class="n">move</span></a><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-typ [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/tmpb0ndseao/images/random&#39;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>&#39;/tmp/tmp6e86ymrv/images/random&#39;
 </pre></div>
 </div>
 </div>
@@ -624,8 +624,8 @@ 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/tmpb0ndseao/images/target contains 8144 images
-/tmp/tmpb0ndseao/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/tmp6e86ymrv/images/target contains 8144 images
+/tmp/tmp6e86ymrv/images/random contains 5000 images
 </pre></div>
 </div>
 </div>
@@ -737,13 +737,13 @@ 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 - 47s - loss: 0.2072 - accuracy: 0.9271 - val_loss: 0.1434 - val_accuracy: 0.9494 - 47s/epoch - 142ms/step
+328/328 - 49s - loss: 0.2145 - accuracy: 0.9267 - val_loss: 0.1139 - val_accuracy: 0.9600 - 49s/epoch - 148ms/step
 Epoch 2/3
-328/328 - 44s - loss: 0.0975 - accuracy: 0.9649 - val_loss: 0.0877 - val_accuracy: 0.9709 - 44s/epoch - 133ms/step
+328/328 - 45s - loss: 0.0952 - accuracy: 0.9651 - val_loss: 0.1036 - val_accuracy: 0.9660 - 45s/epoch - 137ms/step
 Epoch 3/3
-328/328 - 43s - loss: 0.0642 - accuracy: 0.9748 - val_loss: 0.0987 - val_accuracy: 0.9687 - 43s/epoch - 132ms/step
+328/328 - 45s - loss: 0.0609 - accuracy: 0.9751 - val_loss: 0.1106 - val_accuracy: 0.9660 - 45s/epoch - 136ms/step
 
-&lt;keras.callbacks.History object at 0x7f705fc998b0&gt;
+&lt;keras.callbacks.History object at 0x7f021ea6bbb0&gt;
 </pre></div>
 </div>
 </div>
@@ -1007,7 +1007,7 @@ 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  37.336 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes  14.709 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
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diff --git a/docs/how_to/work_with_microtvm/sg_execution_times.html b/docs/how_to/work_with_microtvm/sg_execution_times.html
index 1f59cc857b..c3d535a578 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-work-with-microtvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>08:09.965</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>09:53.308</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
 <table class="docutils align-default">
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@@ -390,27 +390,27 @@
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 <tr class="row-odd"><td><p><a class="reference internal" href="micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">5. Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_train.py</span></code>)</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_pytorch.py</span></code>)</p></td>
-<td><p>01:32.947</p></td>
+<td><p>01:35.476</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></td>
-<td><p>01:28.268</p></td>
+<td><p>01:30.975</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">3. microTVM Ahead-of-Time (AOT) Compilation</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_aot.py</span></code>)</p></td>
-<td><p>00:12.271</p></td>
+<td><p>00:12.652</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_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
-<td><p>00:10.482</p></td>
+<td><p>00:11.160</p></td>
 <td><p>0.0 MB</p></td>
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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>00:08.661</p></td>
+<td><p>00:08.336</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 d8123b2567..f1b67bfc07 100644
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+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -381,7 +381,7 @@
             
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-<p><strong>00:41.037</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:39.668</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
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 <td><p>0.0 MB</p></td>
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index 9410a20fff..62b0fe57e7 100644
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@@ -381,7 +381,7 @@
             
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 <span id="sphx-glr-how-to-work-with-schedules-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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-<td><p>00:01.531</p></td>
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 <td><p>0.0 MB</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="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>00:00.722</p></td>
+<td><p>00:00.697</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>00:00.706</p></td>
+<td><p>00:00.688</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="extern_op.html#sphx-glr-how-to-work-with-schedules-extern-op-py"><span class="std std-ref">External Tensor Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">extern_op.py</span></code>)</p></td>
-<td><p>00:00.130</p></td>
+<td><p>00:00.125</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><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>
-<td><p>00:00.071</p></td>
+<td><p>00:00.070</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><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>
-<td><p>00:00.067</p></td>
+<td><p>00:00.066</p></td>
 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><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>
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index b4923e09c0..93859cca68 100644
--- a/docs/reference/api/python/auto_scheduler.html
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@@ -1668,7 +1668,7 @@ history states as starting point to perform Evolutionary Search).</p></li>
 
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+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
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@@ -1952,7 +1952,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
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+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L94">artifact_cache.ts:94</a></li></ul></aside></li></ul></section></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L132">artifact_cache.ts:132</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L162">artifact_cache.ts:162</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L121">artifact_cache.ts:121</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L148">artifact_cache.ts:148</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L101">artifact_cache.ts:101</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L178">artifact_cache.ts:178</a></li></ul></aside></li></ul></section></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L288">artifact_cache.ts:288</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="addToIndexedDB" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>add<wbr/>To<wbr/>IndexedDB</span><a href="#addToIndexedDB" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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 @@
 <h5><code class="tsd-tag ts-flagOptional">Optional</code> <span class="tsd-kind-parameter">storetype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">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/84141c4e7/web/src/artifact_cache.ts#L263">artifact_cache.ts:263</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L263">artifact_cache.ts:263</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncGetHelper" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Get<wbr/>Helper</span><a href="#asyncGetHelper" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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">url</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">any</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/84141c4e7/web/src/artifact_cache.ts#L230">artifact_cache.ts:230</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L230">artifact_cache.ts:230</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">
@@ -132,7 +132,7 @@
 <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/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/artifact_cache.ts#L339">artifact_cache.ts:339</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L339">artifact_cache.ts:339</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">
@@ -156,7 +156,7 @@ cache, fetch the data and then add to cache.</p>
 <aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/artifact_cache.ts#L247">artifact_cache.ts:247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L247">artifact_cache.ts:247</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">
@@ -174,7 +174,7 @@ cache, fetch the data and then add to cache.</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">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/artifact_cache.ts#L307">artifact_cache.ts:307</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L307">artifact_cache.ts:307</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 054ae2c598..612cc3df07 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/84141c4e7/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L425">runtime.ts:425</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/84141c4e7/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L433">runtime.ts:433</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/84141c4e7/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L429">runtime.ts:429</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/84141c4e7/web/src/runtime.ts#L427">runtime.ts:427</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L427">runtime.ts:427</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/84141c4e7/web/src/runtime.ts#L431">runtime.ts:431</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L431">runtime.ts:431</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/84141c4e7/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L448">runtime.ts:448</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/84141c4e7/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L439">runtime.ts:439</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 72678ca88a..b57dc54940 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/84141c4e7/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L365">runtime.ts:365</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/84141c4e7/web/src/runtime.ts#L373">runtime.ts:373</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L373">runtime.ts:373</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/84141c4e7/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L369">runtime.ts:369</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/84141c4e7/web/src/runtime.ts#L367">runtime.ts:367</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L367">runtime.ts:367</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/84141c4e7/web/src/runtime.ts#L392">runtime.ts:392</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L392">runtime.ts:392</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/84141c4e7/web/src/runtime.ts#L399">runtime.ts:399</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L399">runtime.ts:399</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 5b84ce1171..3012d2e894 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/84141c4e7/web/src/runtime.ts#L1027">runtime.ts:1027</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1027">runtime.ts:1027</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">
@@ -146,24 +146,24 @@ 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/84141c4e7/web/src/runtime.ts#L1059">runtime.ts:1059</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1059">runtime.ts:1059</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/84141c4e7/web/src/runtime.ts#L1030">runtime.ts:1030</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1030">runtime.ts:1030</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/84141c4e7/web/src/runtime.ts#L1029">runtime.ts:1029</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1029">runtime.ts:1029</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/84141c4e7/web/src/runtime.ts#L1028">runtime.ts:1028</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1028">runtime.ts:1028</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>
@@ -199,7 +199,7 @@ 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/84141c4e7/web/src/runtime.ts#L1833">runtime.ts:1833</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1833">runtime.ts:1833</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">
@@ -224,7 +224,7 @@ 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/84141c4e7/web/src/runtime.ts#L1820">runtime.ts:1820</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1820">runtime.ts:1820</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">
@@ -245,7 +245,7 @@ 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/84141c4e7/web/src/runtime.ts#L1850">runtime.ts:1850</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1850">runtime.ts:1850</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">
@@ -262,7 +262,7 @@ 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/84141c4e7/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/be3d42b8a/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">
@@ -273,7 +273,7 @@ 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/84141c4e7/web/src/runtime.ts#L1127">runtime.ts:1127</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1127">runtime.ts:1127</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">
@@ -300,7 +300,7 @@ 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/84141c4e7/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/be3d42b8a/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -310,7 +310,7 @@ 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/84141c4e7/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -345,7 +345,7 @@ 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/84141c4e7/web/src/runtime.ts#L1102">runtime.ts:1102</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1102">runtime.ts:1102</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">
@@ -362,7 +362,7 @@ 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/84141c4e7/web/src/runtime.ts#L1858">runtime.ts:1858</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1858">runtime.ts:1858</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">
@@ -372,7 +372,7 @@ 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/84141c4e7/web/src/runtime.ts#L1889">runtime.ts:1889</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1889">runtime.ts:1889</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="concatEmbeddings" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>concat<wbr/>Embeddings</span><a href="#concatEmbeddings" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>An NDArray of shape (\sum_{i} {m}, hidden_size)</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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">
@@ -405,7 +405,7 @@ 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/84141c4e7/web/src/runtime.ts#L1700">runtime.ts:1700</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1700">runtime.ts:1700</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">
@@ -423,7 +423,7 @@ 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/84141c4e7/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -449,7 +449,7 @@ 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/84141c4e7/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -471,7 +471,7 @@ 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/84141c4e7/web/src/runtime.ts#L1692">runtime.ts:1692</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1692">runtime.ts:1692</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">
@@ -484,7 +484,7 @@ 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/84141c4e7/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1131">runtime.ts:1131</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">
@@ -510,7 +510,7 @@ 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/84141c4e7/web/src/runtime.ts#L1720">runtime.ts:1720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1720">runtime.ts:1720</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">
@@ -523,7 +523,7 @@ 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/84141c4e7/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -557,7 +557,7 @@ 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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1462">runtime.ts:1462</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
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@@ -575,7 +575,7 @@ a value to parent scope.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -596,7 +596,7 @@ a value to parent scope.</p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -614,7 +614,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -631,7 +631,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L2150">runtime.ts:2150</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L2150">runtime.ts:2150</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>
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@@ -649,7 +649,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -660,7 +660,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -678,7 +678,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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>
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@@ -696,7 +696,7 @@ 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/84141c4e7/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/be3d42b8a/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>
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@@ -716,7 +716,7 @@ and needs to b explicitly disposed.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1902">runtime.ts:1902</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1902">runtime.ts:1902</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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@@ -741,7 +741,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -751,7 +751,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1448">runtime.ts:1448</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1448">runtime.ts:1448</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>
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@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1421">runtime.ts:1421</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>
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@@ -787,7 +787,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1430">runtime.ts:1430</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1430">runtime.ts:1430</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -810,7 +810,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1439">runtime.ts:1439</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1439">runtime.ts:1439</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>
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@@ -838,7 +838,7 @@ These functions contains explicit continuation</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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>
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@@ -877,7 +877,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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>
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@@ -900,7 +900,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -917,7 +917,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -942,7 +942,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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>
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@@ -952,7 +952,7 @@ The wasm needs to be compiled with Asynctify</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1799">runtime.ts:1799</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1810">runtime.ts:1810</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/84141c4e7/web/src/runtime.ts#L1682">runtime.ts:1682</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1682">runtime.ts:1682</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1052,7 +1052,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L2300">runtime.ts:2300</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L2300">runtime.ts:2300</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>
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@@ -1067,7 +1067,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1787">runtime.ts:1787</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1787">runtime.ts:1787</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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@@ -1084,7 +1084,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1867">runtime.ts:1867</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1867">runtime.ts:1867</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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@@ -1096,7 +1096,7 @@ System lib is a global module that contains self register functions in startup.<
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1114,7 +1114,7 @@ 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/84141c4e7/web/src/runtime.ts#L1636">runtime.ts:1636</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1636">runtime.ts:1636</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1132,7 +1132,7 @@ 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/84141c4e7/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1150,7 +1150,7 @@ 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/84141c4e7/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/be3d42b8a/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>
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@@ -1180,7 +1180,7 @@ 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/84141c4e7/web/src/runtime.ts#L1766">runtime.ts:1766</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1766">runtime.ts:1766</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">
@@ -1197,7 +1197,7 @@ 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/84141c4e7/web/src/runtime.ts#L1708">runtime.ts:1708</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1708">runtime.ts:1708</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1230,7 +1230,7 @@ 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/84141c4e7/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1179">runtime.ts:1179</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">
@@ -1253,7 +1253,7 @@ 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/84141c4e7/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/be3d42b8a/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
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diff --git a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
index b9e09ed347..726f6f7a0d 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/84141c4e7/web/src/support.ts#L88">support.ts:88</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L88">support.ts:88</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/84141c4e7/web/src/support.ts#L98">support.ts:98</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L98">support.ts:98</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/84141c4e7/web/src/support.ts#L91">support.ts:91</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L91">support.ts:91</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/84141c4e7/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L89">support.ts:89</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>
 <div class="tsd-signature"><span class="tsd-kind-property">multiplier</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/84141c4e7/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L90">support.ts:90</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/84141c4e7/web/src/support.ts#L127">support.ts:127</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L127">support.ts:127</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="randomFloat" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>random<wbr/>Float</span><a href="#randomFloat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L141">support.ts:141</a></li></ul></aside></li></ul></section>
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@@ -118,7 +118,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L111">support.ts:111</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 7e4a99dba4..ff99e5dd15 100644
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L727">runtime.ts:727</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L727">runtime.ts:727</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L732">runtime.ts:732</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -88,7 +88,7 @@ only the first call will take effect.</p>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L742">runtime.ts:742</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L742">runtime.ts:742</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L770">runtime.ts:770</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L770">runtime.ts:770</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
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@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L757">runtime.ts:757</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L757">runtime.ts:757</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L804">runtime.ts:804</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 bfc5196649..f25adfee3d 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L456">runtime.ts:456</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L456">runtime.ts:456</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L476">runtime.ts:476</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L476">runtime.ts:476</a></li></ul></aside></li></ul></section></section>
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@@ -85,35 +85,35 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L466">runtime.ts:466</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L466">runtime.ts:466</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
 <div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L468">runtime.ts:468</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L468">runtime.ts:468</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L460">runtime.ts:460</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L460">runtime.ts:460</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <div class="tsd-comment tsd-typography"><p>Shape of the array.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L464">runtime.ts:464</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L464">runtime.ts:464</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -134,7 +134,7 @@ The number of elements must match.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L585">runtime.ts:585</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L585">runtime.ts:585</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/84141c4e7/web/src/runtime.ts#L634">runtime.ts:634</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L634">runtime.ts:634</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/84141c4e7/web/src/runtime.ts#L570">runtime.ts:570</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L570">runtime.ts:570</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>
 <ul class="tsd-signatures">
@@ -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/84141c4e7/web/src/runtime.ts#L563">runtime.ts:563</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L563">runtime.ts:563</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -194,7 +194,7 @@ only the first call will take effect.</p>
 <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/84141c4e7/web/src/runtime.ts#L551">runtime.ts:551</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L551">runtime.ts:551</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/84141c4e7/web/src/runtime.ts#L700">runtime.ts:700</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L700">runtime.ts:700</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L669">runtime.ts:669</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L532">runtime.ts:532</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index b142e5805b..dbf3b95de5 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 0ca91bd33e..0c73ce1f0c 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/84141c4e7/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
 <h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L307">runtime.ts:307</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L307">runtime.ts:307</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
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 <div class="tsd-comment tsd-typography"><p>The value.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L305">runtime.ts:305</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L305">runtime.ts:305</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index e6f9b1c357..ad437191a9 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
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@@ -25,7 +25,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside>
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@@ -63,7 +63,7 @@
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 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L921">runtime.ts:921</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L921">runtime.ts:921</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L913">runtime.ts:913</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L913">runtime.ts:913</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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 <ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ 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#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -147,7 +147,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index 385665a481..6f744ee1a5 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L822">runtime.ts:822</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/84141c4e7/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L832">runtime.ts:832</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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@@ -98,7 +98,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
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@@ -108,7 +108,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L875">runtime.ts:875</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 62963261f5..f086bcc5b4 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside>
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@@ -68,7 +68,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L991">runtime.ts:991</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 315bec87fe..1a0c7aface 100644
--- a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
+++ b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
@@ -24,7 +24,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
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@@ -57,7 +57,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.AsyncifyHandler.html" class="tsd-signature-type tsd-kind-class">AsyncifyHandler</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/asyncify.ts#L58">asyncify.ts:58</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="enabled" class="tsd-anchor"></a>
@@ -70,7 +70,7 @@
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getState" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>State</span><a href="#getState" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -81,7 +81,7 @@
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapExport" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Export</span><a href="#wrapExport" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -124,7 +124,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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>
 <ul class="tsd-signatures">
@@ -167,7 +167,7 @@
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 </li></ul></li></ul><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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 85da567135..9c808ef370 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -86,7 +86,7 @@ can still call into storeXX</li>
 <h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
 <div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="allocPtrArray" class="tsd-anchor"></a>
@@ -115,7 +115,7 @@ can still call into storeXX</li>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The allocated pointer array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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/84141c4e7/web/src/memory.ts#L390">memory.ts:390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L390">memory.ts:390</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/84141c4e7/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/be3d42b8a/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -199,7 +199,7 @@ No further store function should be called.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index c8e53a6b4f..9c70489bfd 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/84141c4e7/web/src/webgpu.ts#L209">webgpu.ts:209</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L209">webgpu.ts:209</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/84141c4e7/web/src/webgpu.ts#L218">webgpu.ts:218</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L218">webgpu.ts:218</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/84141c4e7/web/src/webgpu.ts#L292">webgpu.ts:292</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L292">webgpu.ts:292</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/84141c4e7/web/src/webgpu.ts#L368">webgpu.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L368">webgpu.ts:368</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/84141c4e7/web/src/webgpu.ts#L318">webgpu.ts:318</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L318">webgpu.ts:318</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 1150c5e5f0..f08547c15e 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
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 <li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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 aff514f312..dbb9ee5668 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/84141c4e7/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L56">runtime.ts:56</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/84141c4e7/web/src/runtime.ts#L64">runtime.ts:64</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L64">runtime.ts:64</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/84141c4e7/web/src/runtime.ts#L59">runtime.ts:59</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L59">runtime.ts:59</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/84141c4e7/web/src/runtime.ts#L58">runtime.ts:58</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L58">runtime.ts:58</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/84141c4e7/web/src/runtime.ts#L57">runtime.ts:57</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L57">runtime.ts:57</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/84141c4e7/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L60">runtime.ts:60</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/84141c4e7/web/src/runtime.ts#L90">runtime.ts:90</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L90">runtime.ts:90</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/84141c4e7/web/src/runtime.ts#L79">runtime.ts:79</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L79">runtime.ts:79</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/84141c4e7/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L98">runtime.ts:98</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/84141c4e7/web/src/runtime.ts#L109">runtime.ts:109</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L109">runtime.ts:109</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/84141c4e7/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L86">runtime.ts:86</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 4133c952d2..071ce78141 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/84141c4e7/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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/84141c4e7/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/be3d42b8a/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 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -166,7 +166,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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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@@ -204,7 +204,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
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@@ -217,7 +217,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
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@@ -230,7 +230,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -243,7 +243,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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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@@ -264,7 +264,7 @@
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/be3d42b8a/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index c851050b8a..6c0ec36f50 100644
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L318">runtime.ts:318</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L318">runtime.ts:318</a></li></ul></aside>
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L322">runtime.ts:322</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L322">runtime.ts:322</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>
@@ -74,7 +74,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L327">runtime.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L327">runtime.ts:327</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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 <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/84141c4e7/web/src/runtime.ts#L336">runtime.ts:336</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L336">runtime.ts:336</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_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L181">runtime.ts:181</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L175">runtime.ts:175</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L175">runtime.ts:175</a></li></ul></aside></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>
 <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/84141c4e7/web/src/runtime.ts#L174">runtime.ts:174</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L174">runtime.ts:174</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/84141c4e7/web/src/runtime.ts#L176">runtime.ts:176</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L176">runtime.ts:176</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L166">runtime.ts:166</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/84141c4e7/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L163">runtime.ts:163</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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L165">runtime.ts:165</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/84141c4e7/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayConcat" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Concat</span><a href="#arrayConcat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/>Concat</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/84141c4e7/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayDecodeStorage" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Decode<wbr/>Storage</span><a href="#arrayDecodeStorage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/>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/84141c4e7/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayGetItem" class="tsd-anchor"></a>
 <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>
 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Item</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/84141c4e7/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Size</span><a href="#arrayGetSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/>Get<wbr/>Size</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Make</span><a href="#arrayMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/84141c4e7/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="concatEmbeddings" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>concat<wbr/>Embeddings</span><a href="#concatEmbeddings" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">concat<wbr/>Embeddings</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/84141c4e7/web/src/runtime.ts#L177">runtime.ts:177</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L177">runtime.ts:177</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">getFFIString</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Create<wbr/>View</span><a href="#ndarrayCreateView" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">ndarray<wbr/>Create<wbr/>View</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache</span><a href="#paramModuleFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</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/84141c4e7/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L172">runtime.ts:172</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L172">runtime.ts:172</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Prob</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L173">runtime.ts:173</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L173">runtime.ts:173</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L261">runtime.ts:261</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L261">runtime.ts:261</a></li></ul></aside></li></ul></section>
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 <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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L235">runtime.ts:235</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L235">runtime.ts:235</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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@@ -263,7 +263,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L280">runtime.ts:280</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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@@ -276,7 +276,7 @@ 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/84141c4e7/web/src/runtime.ts#L210">runtime.ts:210</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L210">runtime.ts:210</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>
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@@ -284,7 +284,7 @@ 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>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L239">runtime.ts:239</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L239">runtime.ts:239</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">
@@ -302,7 +302,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L270">runtime.ts:270</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L270">runtime.ts:270</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 426c760490..220c462846 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L927">runtime.ts:927</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L927">runtime.ts:927</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
 <h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><aside class="tsd-sources">
 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L928">runtime.ts:928</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/84141c4e7/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -97,7 +97,7 @@ only the first call will take effect.</p>
 <aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -107,7 +107,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><p>the size of the array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index ed103ab91a..3c0811e5c9 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -25,7 +25,7 @@ Manages all the webgpu resources here.</p>
 <ul class="tsd-hierarchy">
 <li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L386">webgpu.ts:386</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L386">webgpu.ts:386</a></li></ul></aside>
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@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
 <h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L411">webgpu.ts:411</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L411">webgpu.ts:411</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L387">webgpu.ts:387</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L387">webgpu.ts:387</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/84141c4e7/web/src/webgpu.ts#L388">webgpu.ts:388</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L388">webgpu.ts:388</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L495">webgpu.ts:495</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L495">webgpu.ts:495</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>
 </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/84141c4e7/web/src/webgpu.ts#L487">webgpu.ts:487</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L487">webgpu.ts:487</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L469">webgpu.ts:469</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L469">webgpu.ts:469</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -160,7 +160,7 @@ via createComputePipeline</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The shader</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L507">webgpu.ts:507</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L507">webgpu.ts:507</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
 <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 ">Function</span><span class="tsd-signature-symbol">&gt;</span></h4><p>The shader</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L519">webgpu.ts:519</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L519">webgpu.ts:519</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
 </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/84141c4e7/web/src/webgpu.ts#L419">webgpu.ts:419</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L419">webgpu.ts:419</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -216,7 +216,7 @@ via createComputePipelineAsync</p>
 </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/84141c4e7/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -232,7 +232,7 @@ via createComputePipelineAsync</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The corresponding device api.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/84141c4e7/web/src/webgpu.ts#L775">webgpu.ts:775</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L775">webgpu.ts:775</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -242,7 +242,7 @@ via createComputePipelineAsync</p>
 </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/84141c4e7/web/src/webgpu.ts#L441">webgpu.ts:441</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L441">webgpu.ts:441</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/be3d42b8a/web/src/webgpu.ts#L434">webgpu.ts:434</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/be3d42b8a/web/src/asyncify.ts#L33">asyncify.ts:33</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/asyncify.ts#L32">asyncify.ts:32</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L65">support.ts:65</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L397">artifact_cache.ts:397</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/detectGPUDevice.html b/docs/reference/api/typedoc/functions/detectGPUDevice.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L365">artifact_cache.ts:365</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L2592">runtime.ts:2592</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/support.ts#L75">support.ts:75</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L69">artifact_cache.ts:69</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L83">artifact_cache.ts:83</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L55">artifact_cache.ts:55</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L76">artifact_cache.ts:76</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1003">runtime.ts:1003</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1004">runtime.ts:1004</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/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/be3d42b8a/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/be3d42b8a/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/be3d42b8a/web/src/webgpu.ts#L376">webgpu.ts:376</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L379">webgpu.ts:379</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/webgpu.ts#L377">webgpu.ts:377</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L20">artifact_cache.ts:20</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L25">artifact_cache.ts:25</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L23">artifact_cache.ts:23</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L24">artifact_cache.ts:24</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L21">artifact_cache.ts:21</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside></section></section></div>
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index 35cb129999..40f1937e13 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L29">artifact_cache.ts:29</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L30">artifact_cache.ts:30</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L32">artifact_cache.ts:32</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/artifact_cache.ts#L33">artifact_cache.ts:33</a></li></ul></aside></section></section></div>
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index 5cffdc9022..8265bb86dc 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L1008">runtime.ts:1008</a></li></ul></aside></div>
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index e522708b23..142759d27e 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L42">runtime.ts:42</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/runtime.ts#L49">runtime.ts:49</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/be3d42b8a/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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\ No newline at end of file
diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index e9ef17339c..ff6e1edcd4 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -640,7 +640,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
   warnings.warn(
-yolov3-tiny inference graph built in 28.65s!
+yolov3-tiny inference graph built in 29.94s!
 </pre></div>
 </div>
 </div>
@@ -725,7 +725,7 @@ Download test image</p>
         alu_counter     :           849056
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  4.321 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  7.242 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-topic-vta-tutorials-frontend-deploy-detection-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../../../_downloads/65b9451c8de050d7cd9da2fe5a49acc6/deploy_detection.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_detection.py</span></code></a></p>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index 1f417c380c..819d0d88d6 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:04.321</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:07.242</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -390,7 +390,7 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></td>
-<td><p>01:04.321</p></td>
+<td><p>01:07.242</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/topic/vta/tutorials/optimize/sg_execution_times.html b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
index 21439cc4ef..49de283a4b 100644
--- a/docs/topic/vta/tutorials/optimize/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-optimize-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.497</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.563</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -390,11 +390,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="convolution_opt.html#sphx-glr-topic-vta-tutorials-optimize-convolution-opt-py"><span class="std std-ref">2D Convolution Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">convolution_opt.py</span></code>)</p></td>
-<td><p>00:02.983</p></td>
+<td><p>00:03.041</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="matrix_multiply_opt.html#sphx-glr-topic-vta-tutorials-optimize-matrix-multiply-opt-py"><span class="std std-ref">Matrix Multiply Blocking</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply_opt.py</span></code>)</p></td>
-<td><p>00:00.514</p></td>
+<td><p>00:00.523</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 010bc13fb8..a9b6dfcd68 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <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>00:00.876</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.880</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 81%" />
@@ -390,11 +390,11 @@
 </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>00:00.479</p></td>
+<td><p>00:00.475</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>00:00.396</p></td>
+<td><p>00:00.405</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 35f231d949..bf0508f68d 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -608,7 +608,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 91.155 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 97.448 ms
 </pre></div>
 </div>
 </div>
@@ -670,6 +670,7 @@ resume the status and do more 5 trials.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Resume search:
+*E
 </pre></div>
 </div>
 </div>
@@ -680,7 +681,7 @@ 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  26.435 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  43.122 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 52b8b8c865..3ea6437b3d 100644
--- a/docs/tutorial/autotvm_matmul_x86.html
+++ b/docs/tutorial/autotvm_matmul_x86.html
@@ -719,16 +719,16 @@ reduce variance, we take 5 measurements and average them.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>waiting for device...
 device available
 Get devices for measurement successfully!
-No: 1   GFLOPS: 13.82/13.82     result: MeasureResult(costs=(0.0194171234,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.6318442821502686, timestamp=1730539540.6192737)       [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 64])],None,68
-No: 2   GFLOPS: 8.97/13.82      result: MeasureResult(costs=(0.0299151302,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7930092811584473, timestamp=1730539541.3610857)       [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 16])],None,41
-No: 3   GFLOPS: 9.49/13.82      result: MeasureResult(costs=(0.0282781086,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.7480006217956543, timestamp=1730539542.072687)        [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 32])],None,59
-No: 4   GFLOPS: 3.79/13.82      result: MeasureResult(costs=(0.0708563952,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4400436878204346, timestamp=1730539543.4655597)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 8])],None,36
-No: 5   GFLOPS: 3.91/13.82      result: MeasureResult(costs=(0.06873698060000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3888490200042725, timestamp=1730539545.0624788)        [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 8])],None,35
-No: 6   GFLOPS: 14.56/14.56     result: MeasureResult(costs=(0.0184409504,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6763482093811035, timestamp=1730539545.6216588)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 128])],None,76
-No: 7   GFLOPS: 1.06/14.56      result: MeasureResult(costs=(0.25409235880000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.355304956436157, timestamp=1730539549.9456842) [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 2])],None,17
-No: 8   GFLOPS: 2.08/14.56      result: MeasureResult(costs=(0.1290077712,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3466031551361084, timestamp=1730539552.2689888)       [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 4])],None,26
-No: 9   GFLOPS: 4.44/14.56      result: MeasureResult(costs=(0.06043026119999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.216545581817627, timestamp=1730539553.8470178) [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 8])],None,34
-No: 10  GFLOPS: 15.26/15.26     result: MeasureResult(costs=(0.0175897046,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.782768726348877, timestamp=1730539554.390737) [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 64])],None,66
+No: 1   GFLOPS: 7.02/7.02       result: MeasureResult(costs=(0.038212272000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.01511287689209, timestamp=1730771211.5305367) [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 16])],None,46
+No: 2   GFLOPS: 9.48/9.48       result: MeasureResult(costs=(0.028320459799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8620493412017822, timestamp=1730771212.2554572)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 128])],None,70
+No: 3   GFLOPS: 11.36/11.36     result: MeasureResult(costs=(0.023624231399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.715395450592041, timestamp=1730771212.9079232)        [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 512])],None,95
+No: 4   GFLOPS: 1.31/11.36      result: MeasureResult(costs=(0.20559474,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.617016315460205, timestamp=1730771216.465485)   [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 1])],None,1
+No: 5   GFLOPS: 3.78/11.36      result: MeasureResult(costs=(0.0710117638,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4361927509307861, timestamp=1730771218.0143447)       [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 8])],None,35
+No: 6   GFLOPS: 1.93/11.36      result: MeasureResult(costs=(0.1390781944,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.503568649291992, timestamp=1730771220.5015163)        [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 1])],None,2
+No: 7   GFLOPS: 3.66/11.36      result: MeasureResult(costs=(0.0733476458,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4658937454223633, timestamp=1730771221.9405138)       [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 8])],None,37
+No: 8   GFLOPS: 8.54/11.36      result: MeasureResult(costs=(0.031427983799999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7821896076202393, timestamp=1730771222.711037)        [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 32])],None,59
+No: 9   GFLOPS: 12.57/12.57     result: MeasureResult(costs=(0.0213600056,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.60526442527771, timestamp=1730771223.4293232) [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 128])],None,75
+No: 10  GFLOPS: 11.23/12.57     result: MeasureResult(costs=(0.023906016600000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6466236114501953, timestamp=1730771224.0848725)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 256])],None,84
 </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 b1309f6782..aee32c2af8 100644
--- a/docs/tutorial/autotvm_relay_x86.html
+++ b/docs/tutorial/autotvm_relay_x86.html
@@ -597,7 +597,7 @@ 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;: 480.52208958000176, &#39;median&#39;: 480.02373340000304, &#39;std&#39;: 1.8939232825171328}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 496.9483201899993, &#39;median&#39;: 496.99613199999817, &#39;std&#39;: 2.9680941331046067}
 </pre></div>
 </div>
 </div>
@@ -786,177 +786,179 @@ depending on the specifics of the model and the target platform.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  1/25]  Current/Best:   13.27/  13.82 GFLOPS | Progress: (4/20) | 10.81 s
-[Task  1/25]  Current/Best:   23.42/  23.62 GFLOPS | Progress: (8/20) | 13.09 s
-[Task  1/25]  Current/Best:   10.06/  23.62 GFLOPS | Progress: (12/20) | 15.43 s
-[Task  1/25]  Current/Best:   16.19/  23.62 GFLOPS | Progress: (16/20) | 17.76 s
-[Task  1/25]  Current/Best:    9.66/  24.85 GFLOPS | Progress: (20/20) | 19.99 s Done.
+[Task  1/25]  Current/Best:   17.98/  17.98 GFLOPS | Progress: (4/20) | 15.30 s
+[Task  1/25]  Current/Best:   20.79/  23.13 GFLOPS | Progress: (8/20) | 17.65 s
+[Task  1/25]  Current/Best:    5.63/  23.84 GFLOPS | Progress: (12/20) | 21.38 s
+[Task  1/25]  Current/Best:    9.89/  23.84 GFLOPS | Progress: (16/20) | 25.17 s
+[Task  1/25]  Current/Best:   16.12/  23.84 GFLOPS | Progress: (20/20) | 28.40 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:    5.87/  14.17 GFLOPS | Progress: (4/20) | 4.19 s
-[Task  2/25]  Current/Best:   11.15/  16.29 GFLOPS | Progress: (8/20) | 5.73 s
-[Task  2/25]  Current/Best:   15.20/  19.64 GFLOPS | Progress: (12/20) | 7.53 s
-[Task  2/25]  Current/Best:    8.68/  19.64 GFLOPS | Progress: (16/20) | 8.93 s
-[Task  2/25]  Current/Best:   16.80/  22.04 GFLOPS | Progress: (20/20) | 10.35 s Done.
+[Task  2/25]  Current/Best:   13.28/  16.78 GFLOPS | Progress: (4/20) | 4.62 s
+[Task  2/25]  Current/Best:   16.46/  16.78 GFLOPS | Progress: (8/20) | 6.15 s
+[Task  2/25]  Current/Best:   16.87/  19.26 GFLOPS | Progress: (12/20) | 7.76 s
+[Task  2/25]  Current/Best:   15.20/  19.26 GFLOPS | Progress: (16/20) | 9.87 s
+[Task  2/25]  Current/Best:   13.61/  19.58 GFLOPS | Progress: (20/20) | 11.41 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   21.41/  21.41 GFLOPS | Progress: (4/20) | 5.06 s
-[Task  3/25]  Current/Best:   15.45/  21.41 GFLOPS | Progress: (8/20) | 7.99 s
-[Task  3/25]  Current/Best:   20.61/  21.41 GFLOPS | Progress: (12/20) | 9.79 s
-[Task  3/25]  Current/Best:   20.95/  21.41 GFLOPS | Progress: (16/20) | 13.03 s
-[Task  3/25]  Current/Best:   14.28/  21.41 GFLOPS | Progress: (20/20) | 16.05 s Done.
+[Task  3/25]  Current/Best:   10.96/  16.77 GFLOPS | Progress: (4/20) | 4.97 s
+[Task  3/25]  Current/Best:    7.30/  16.77 GFLOPS | Progress: (8/20) | 7.59 s
+[Task  3/25]  Current/Best:    6.71/  17.82 GFLOPS | Progress: (12/20) | 10.14 s
+[Task  3/25]  Current/Best:   12.39/  20.39 GFLOPS | Progress: (16/20) | 12.54 s
+[Task  3/25]  Current/Best:   18.16/  23.96 GFLOPS | Progress: (20/20) | 14.67 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:   22.96/  22.96 GFLOPS | Progress: (4/20) | 4.49 s
-[Task  4/25]  Current/Best:    5.11/  22.96 GFLOPS | Progress: (8/20) | 6.98 s
-[Task  4/25]  Current/Best:    3.89/  22.96 GFLOPS | Progress: (12/20) | 8.90 s
-[Task  4/25]  Current/Best:   16.18/  22.96 GFLOPS | Progress: (16/20) | 11.47 s
-[Task  4/25]  Current/Best:   16.64/  22.96 GFLOPS | Progress: (20/20) | 13.77 s Done.
+[Task  4/25]  Current/Best:   13.43/  21.79 GFLOPS | Progress: (4/20) | 4.48 s
+[Task  4/25]  Current/Best:   13.78/  21.79 GFLOPS | Progress: (8/20) | 7.77 s
+[Task  4/25]  Current/Best:   11.90/  21.79 GFLOPS | Progress: (12/20) | 12.17 s
+[Task  4/25]  Current/Best:   11.57/  21.79 GFLOPS | Progress: (16/20) | 15.74 s
+[Task  4/25]  Current/Best:    6.77/  21.79 GFLOPS | Progress: (20/20) | 17.94 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:    5.35/  18.34 GFLOPS | Progress: (4/20) | 4.85 s
-[Task  5/25]  Current/Best:   14.40/  20.54 GFLOPS | Progress: (8/20) | 6.58 s
-[Task  5/25]  Current/Best:    3.36/  23.66 GFLOPS | Progress: (12/20) | 8.63 s
-[Task  5/25]  Current/Best:    6.47/  23.66 GFLOPS | Progress: (16/20) | 10.54 s
-[Task  5/25]  Current/Best:   11.94/  23.66 GFLOPS | Progress: (20/20) | 13.28 s Done.
+[Task  5/25]  Current/Best:    5.00/  15.82 GFLOPS | Progress: (4/20) | 4.85 s
+[Task  5/25]  Current/Best:   18.42/  18.42 GFLOPS | Progress: (8/20) | 6.81 s
+[Task  5/25]  Current/Best:    5.86/  18.42 GFLOPS | Progress: (12/20) | 9.58 s
+[Task  5/25]  Current/Best:   20.38/  20.38 GFLOPS | Progress: (16/20) | 11.43 s
+[Task  5/25]  Current/Best:   12.00/  20.38 GFLOPS | Progress: (20/20) | 13.98 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:    8.45/  16.21 GFLOPS | Progress: (4/20) | 6.26 s
-[Task  6/25]  Current/Best:    5.37/  17.65 GFLOPS | Progress: (8/20) | 8.63 s
-[Task  6/25]  Current/Best:   14.40/  19.10 GFLOPS | Progress: (12/20) | 11.01 s
-[Task  6/25]  Current/Best:    4.17/  19.10 GFLOPS | Progress: (16/20) | 13.64 s
-[Task  6/25]  Current/Best:   19.60/  19.60 GFLOPS | Progress: (20/20) | 15.65 s Done.
+[Task  6/25]  Current/Best:    5.75/  13.51 GFLOPS | Progress: (4/20) | 6.11 s
+[Task  6/25]  Current/Best:   10.93/  15.94 GFLOPS | Progress: (8/20) | 8.75 s
+[Task  6/25]  Current/Best:    8.68/  19.60 GFLOPS | Progress: (12/20) | 14.17 s
+[Task  6/25]  Current/Best:   12.46/  19.60 GFLOPS | Progress: (16/20) | 16.27 s
+[Task  6/25]  Current/Best:   12.43/  19.60 GFLOPS | Progress: (20/20) | 18.93 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:   11.91/  20.62 GFLOPS | Progress: (4/20) | 5.23 s
-[Task  7/25]  Current/Best:   12.09/  20.62 GFLOPS | Progress: (8/20) | 9.76 s
-[Task  7/25]  Current/Best:   19.81/  20.62 GFLOPS | Progress: (12/20) | 11.97 s
-[Task  7/25]  Current/Best:   19.80/  20.62 GFLOPS | Progress: (16/20) | 14.61 s
-[Task  7/25]  Current/Best:   22.34/  22.34 GFLOPS | Progress: (20/20) | 16.44 s Done.
+[Task  7/25]  Current/Best:   19.05/  19.48 GFLOPS | Progress: (4/20) | 5.26 s
+[Task  7/25]  Current/Best:   16.27/  19.48 GFLOPS | Progress: (8/20) | 7.69 s
+[Task  7/25]  Current/Best:    7.21/  22.15 GFLOPS | Progress: (12/20) | 10.05 s
+[Task  7/25]  Current/Best:   12.39/  22.15 GFLOPS | Progress: (16/20) | 13.64 s
+[Task  7/25]  Current/Best:   19.52/  22.15 GFLOPS | Progress: (20/20) | 16.00 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (4/20) | 5.84 s
-[Task  8/25]  Current/Best:   16.40/  20.70 GFLOPS | Progress: (8/20) | 9.04 s
-[Task  8/25]  Current/Best:   13.71/  20.70 GFLOPS | Progress: (12/20) | 12.65 s
-[Task  8/25]  Current/Best:    7.31/  20.70 GFLOPS | Progress: (16/20) | 24.42 s
-[Task  8/25]  Current/Best:    5.04/  20.70 GFLOPS | Progress: (20/20) | 31.61 s
-[Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:   12.70/  15.70 GFLOPS | Progress: (4/20) | 5.02 s
-[Task  9/25]  Current/Best:   15.53/  19.03 GFLOPS | Progress: (8/20) | 6.56 s
-[Task  9/25]  Current/Best:    5.14/  19.03 GFLOPS | Progress: (12/20) | 13.70 s
-[Task  9/25]  Current/Best:   16.61/  21.62 GFLOPS | Progress: (16/20) | 16.06 s
-[Task  9/25]  Current/Best:   13.60/  21.62 GFLOPS | Progress: (20/20) | 17.81 s Done.
+[Task  8/25]  Current/Best:    3.34/  17.97 GFLOPS | Progress: (4/20) | 9.04 s
+[Task  8/25]  Current/Best:   15.86/  17.97 GFLOPS | Progress: (8/20) | 13.10 s
+[Task  8/25]  Current/Best:   13.70/  17.97 GFLOPS | Progress: (12/20) | 15.81 s
+[Task  8/25]  Current/Best:   11.89/  17.97 GFLOPS | Progress: (16/20) | 19.51 s
+[Task  8/25]  Current/Best:   14.78/  17.97 GFLOPS | Progress: (20/20) | 25.27 s Done.
 
+[Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task  9/25]  Current/Best:   14.48/  14.48 GFLOPS | Progress: (4/20) | 9.09 s
+[Task  9/25]  Current/Best:   10.49/  14.48 GFLOPS | Progress: (8/20) | 20.26 s
+[Task  9/25]  Current/Best:   19.64/  19.64 GFLOPS | Progress: (12/20) | 23.69 s
+[Task  9/25]  Current/Best:    8.62/  19.64 GFLOPS | Progress: (16/20) | 28.10 s
+[Task  9/25]  Current/Best:   12.04/  19.64 GFLOPS | Progress: (20/20) | 33.07 s
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   18.21/  18.21 GFLOPS | Progress: (4/20) | 4.67 s
-[Task 10/25]  Current/Best:    7.07/  18.21 GFLOPS | Progress: (8/20) | 6.59 s
-[Task 10/25]  Current/Best:   14.97/  18.21 GFLOPS | Progress: (12/20) | 8.44 s
-[Task 10/25]  Current/Best:   13.23/  18.76 GFLOPS | Progress: (16/20) | 10.62 s
-[Task 10/25]  Current/Best:    9.68/  18.76 GFLOPS | Progress: (20/20) | 12.81 s Done.
+[Task 10/25]  Current/Best:    5.22/  10.94 GFLOPS | Progress: (4/20) | 5.31 s
+[Task 10/25]  Current/Best:   17.98/  21.28 GFLOPS | Progress: (8/20) | 7.05 s
+[Task 10/25]  Current/Best:    1.60/  21.28 GFLOPS | Progress: (12/20) | 10.54 s
+[Task 10/25]  Current/Best:   13.27/  21.28 GFLOPS | Progress: (16/20) | 12.86 s
+[Task 10/25]  Current/Best:    7.90/  21.28 GFLOPS | Progress: (20/20) | 14.70 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:    3.23/  22.30 GFLOPS | Progress: (4/20) | 5.52 s
-[Task 11/25]  Current/Best:   13.22/  22.30 GFLOPS | Progress: (8/20) | 8.17 s
-[Task 11/25]  Current/Best:   10.76/  22.30 GFLOPS | Progress: (12/20) | 10.76 s
-[Task 11/25]  Current/Best:   10.86/  22.30 GFLOPS | Progress: (16/20) | 14.29 s
-[Task 11/25]  Current/Best:   14.42/  22.30 GFLOPS | Progress: (20/20) | 18.01 s Done.
+[Task 11/25]  Current/Best:    6.28/  18.94 GFLOPS | Progress: (4/20) | 5.21 s
+[Task 11/25]  Current/Best:   20.80/  20.80 GFLOPS | Progress: (8/20) | 7.44 s
+[Task 11/25]  Current/Best:   10.13/  20.80 GFLOPS | Progress: (12/20) | 10.34 s
+[Task 11/25]  Current/Best:    8.35/  20.80 GFLOPS | Progress: (16/20) | 12.66 s
+[Task 11/25]  Current/Best:   20.63/  20.80 GFLOPS | Progress: (20/20) | 16.28 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   14.53/  14.72 GFLOPS | Progress: (4/20) | 5.99 s
-[Task 12/25]  Current/Best:    5.30/  18.58 GFLOPS | Progress: (8/20) | 8.81 s
-[Task 12/25]  Current/Best:   22.01/  22.01 GFLOPS | Progress: (12/20) | 12.02 s
-[Task 12/25]  Current/Best:   13.02/  22.01 GFLOPS | Progress: (16/20) | 15.49 s
-[Task 12/25]  Current/Best:   14.50/  22.01 GFLOPS | Progress: (20/20) | 17.74 s Done.
+[Task 12/25]  Current/Best:    7.98/  13.98 GFLOPS | Progress: (4/20) | 7.13 s
+[Task 12/25]  Current/Best:   13.15/  15.03 GFLOPS | Progress: (8/20) | 11.43 s
+[Task 12/25]  Current/Best:   14.66/  21.06 GFLOPS | Progress: (12/20) | 14.64 s
+[Task 12/25]  Current/Best:   14.96/  21.06 GFLOPS | Progress: (16/20) | 17.35 s
+[Task 12/25]  Current/Best:    8.63/  21.06 GFLOPS | Progress: (20/20) | 20.23 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   13.62/  20.91 GFLOPS | Progress: (4/20) | 5.87 s
-[Task 13/25]  Current/Best:   13.60/  20.91 GFLOPS | Progress: (8/20) | 8.37 s
-[Task 13/25]  Current/Best:    6.38/  20.91 GFLOPS | Progress: (12/20) | 12.07 s
-[Task 13/25]  Current/Best:   11.30/  22.50 GFLOPS | Progress: (16/20) | 15.73 s
-[Task 13/25]  Current/Best:   22.56/  22.56 GFLOPS | Progress: (20/20) | 20.28 s Done.
+[Task 13/25]  Current/Best:    6.22/  18.58 GFLOPS | Progress: (4/20) | 5.56 s
+[Task 13/25]  Current/Best:    7.29/  18.58 GFLOPS | Progress: (8/20) | 9.17 s
+[Task 13/25]  Current/Best:    9.33/  21.09 GFLOPS | Progress: (12/20) | 12.46 s
+[Task 13/25]  Current/Best:    8.51/  21.09 GFLOPS | Progress: (16/20) | 15.94 s
+[Task 13/25]  Current/Best:   10.04/  21.09 GFLOPS | Progress: (20/20) | 19.58 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:   22.41/  22.41 GFLOPS | Progress: (4/20) | 4.87 s
-[Task 14/25]  Current/Best:   21.02/  22.41 GFLOPS | Progress: (8/20) | 10.49 s
-[Task 14/25]  Current/Best:   13.79/  22.41 GFLOPS | Progress: (12/20) | 14.04 s
-[Task 14/25]  Current/Best:    9.66/  22.41 GFLOPS | Progress: (16/20) | 21.08 s
-[Task 14/25]  Current/Best:   12.15/  22.41 GFLOPS | Progress: (20/20) | 30.48 s Done.
+[Task 14/25]  Current/Best:   11.06/  19.61 GFLOPS | Progress: (4/20) | 5.69 s
+[Task 14/25]  Current/Best:    6.99/  19.61 GFLOPS | Progress: (8/20) | 16.56 s
+[Task 14/25]  Current/Best:   12.95/  19.61 GFLOPS | Progress: (12/20) | 20.66 s
+[Task 14/25]  Current/Best:    9.80/  19.61 GFLOPS | Progress: (16/20) | 24.12 s
+[Task 14/25]  Current/Best:    4.63/  19.61 GFLOPS | Progress: (20/20) | 35.48 s Done.
 
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:    9.16/  12.99 GFLOPS | Progress: (4/20) | 6.34 s
-[Task 15/25]  Current/Best:    3.22/  17.61 GFLOPS | Progress: (8/20) | 9.12 s
-[Task 15/25]  Current/Best:   10.31/  22.63 GFLOPS | Progress: (12/20) | 11.51 s
-[Task 15/25]  Current/Best:   13.96/  22.63 GFLOPS | Progress: (16/20) | 16.84 s
-[Task 15/25]  Current/Best:   13.85/  22.63 GFLOPS | Progress: (20/20) | 22.66 s Done.
+[Task 15/25]  Current/Best:   19.97/  19.97 GFLOPS | Progress: (4/20) | 8.10 s
+[Task 15/25]  Current/Best:   14.13/  19.97 GFLOPS | Progress: (8/20) | 10.45 s
+[Task 15/25]  Current/Best:   10.33/  20.61 GFLOPS | Progress: (12/20) | 14.04 s
+[Task 15/25]  Current/Best:   15.17/  20.61 GFLOPS | Progress: (16/20) | 15.85 s
+[Task 15/25]  Current/Best:   15.90/  20.61 GFLOPS | Progress: (20/20) | 22.61 s Done.
 
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   15.15/  18.93 GFLOPS | Progress: (4/20) | 4.09 s
-[Task 16/25]  Current/Best:   14.74/  18.93 GFLOPS | Progress: (8/20) | 6.29 s
-[Task 16/25]  Current/Best:    9.89/  21.30 GFLOPS | Progress: (12/20) | 10.04 s
-[Task 16/25]  Current/Best:   18.21/  21.30 GFLOPS | Progress: (16/20) | 12.06 s
-[Task 16/25]  Current/Best:    6.03/  21.30 GFLOPS | Progress: (20/20) | 14.30 s Done.
+[Task 16/25]  Current/Best:    7.12/  18.50 GFLOPS | Progress: (4/20) | 5.70 s
+[Task 16/25]  Current/Best:    4.20/  18.50 GFLOPS | Progress: (8/20) | 7.78 s
+[Task 16/25]  Current/Best:   13.20/  18.50 GFLOPS | Progress: (12/20) | 10.12 s
+[Task 16/25]  Current/Best:   14.50/  18.50 GFLOPS | Progress: (16/20) | 11.93 s
+[Task 16/25]  Current/Best:   12.86/  18.50 GFLOPS | Progress: (20/20) | 15.03 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:   12.85/  14.79 GFLOPS | Progress: (4/20) | 6.46 s
-[Task 17/25]  Current/Best:   13.21/  20.26 GFLOPS | Progress: (8/20) | 9.97 s
-[Task 17/25]  Current/Best:   24.16/  24.16 GFLOPS | Progress: (12/20) | 13.00 s
-[Task 17/25]  Current/Best:   22.84/  24.16 GFLOPS | Progress: (16/20) | 15.25 s
-[Task 17/25]  Current/Best:   16.59/  24.16 GFLOPS | Progress: (20/20) | 18.05 s Done.
+[Task 17/25]  Current/Best:    9.88/  19.14 GFLOPS | Progress: (4/20) | 5.46 s
+[Task 17/25]  Current/Best:    8.92/  19.71 GFLOPS | Progress: (8/20) | 9.77 s
+[Task 17/25]  Current/Best:    8.61/  23.50 GFLOPS | Progress: (12/20) | 12.15 s
+[Task 17/25]  Current/Best:   12.31/  23.50 GFLOPS | Progress: (16/20) | 14.30 s
+[Task 17/25]  Current/Best:    5.29/  23.50 GFLOPS | Progress: (20/20) | 17.25 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:    7.37/  11.48 GFLOPS | Progress: (4/20) | 9.01 s
-[Task 18/25]  Current/Best:    7.77/  19.30 GFLOPS | Progress: (8/20) | 12.35 s
-[Task 18/25]  Current/Best:   20.15/  20.15 GFLOPS | Progress: (12/20) | 14.47 s
-[Task 18/25]  Current/Best:   16.82/  20.80 GFLOPS | Progress: (16/20) | 16.44 s
-[Task 18/25]  Current/Best:   12.44/  20.80 GFLOPS | Progress: (20/20) | 20.77 s Done.
+[Task 18/25]  Current/Best:    9.60/  19.11 GFLOPS | Progress: (4/20) | 6.15 s
+[Task 18/25]  Current/Best:    6.81/  19.11 GFLOPS | Progress: (8/20) | 9.58 s
+[Task 18/25]  Current/Best:   19.38/  19.38 GFLOPS | Progress: (12/20) | 12.26 s
+[Task 18/25]  Current/Best:    7.83/  19.73 GFLOPS | Progress: (16/20) | 16.33 s
+[Task 18/25]  Current/Best:   15.90/  21.41 GFLOPS | Progress: (20/20) | 18.58 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    9.06/  20.30 GFLOPS | Progress: (4/20) | 7.30 s
-[Task 19/25]  Current/Best:   10.06/  20.30 GFLOPS | Progress: (8/20) | 10.01 s
-[Task 19/25]  Current/Best:    6.50/  20.30 GFLOPS | Progress: (12/20) | 14.88 s
-[Task 19/25]  Current/Best:    9.24/  20.30 GFLOPS | Progress: (16/20) | 21.01 s
-[Task 19/25]  Current/Best:    9.23/  22.79 GFLOPS | Progress: (20/20) | 23.89 s Done.
+[Task 19/25]  Current/Best:   18.68/  18.68 GFLOPS | Progress: (4/20) | 6.03 s
+[Task 19/25]  Current/Best:    8.93/  18.68 GFLOPS | Progress: (8/20) | 10.93 s
+[Task 19/25]  Current/Best:   10.50/  18.68 GFLOPS | Progress: (12/20) | 17.18 s
+[Task 19/25]  Current/Best:   18.85/  18.85 GFLOPS | Progress: (16/20) | 19.91 s
+[Task 19/25]  Current/Best:   21.79/  21.79 GFLOPS | Progress: (20/20) | 24.67 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:    7.96/   8.57 GFLOPS | Progress: (4/20) | 9.23 s
-[Task 20/25]  Current/Best:   15.98/  15.98 GFLOPS | Progress: (8/20) | 12.96 s
-[Task 20/25]  Current/Best:   19.63/  19.63 GFLOPS | Progress: (12/20) | 15.73 s
-[Task 20/25]  Current/Best:    1.62/  19.63 GFLOPS | Progress: (16/20) | 28.60 s
-[Task 20/25]  Current/Best:   17.31/  19.63 GFLOPS | Progress: (20/20) | 33.32 s
+[Task 20/25]  Current/Best:   10.80/  10.80 GFLOPS | Progress: (4/20) | 6.99 s
+[Task 20/25]  Current/Best:   16.36/  20.86 GFLOPS | Progress: (8/20) | 9.67 s
+[Task 20/25]  Current/Best:   14.06/  20.86 GFLOPS | Progress: (12/20) | 21.68 s
+[Task 20/25]  Current/Best:   17.38/  20.86 GFLOPS | Progress: (16/20) | 25.73 s
+[Task 20/25]  Current/Best:    5.46/  20.86 GFLOPS | Progress: (20/20) | 32.73 s
 [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
  Done.
 
-[Task 21/25]  Current/Best:   12.60/  20.03 GFLOPS | Progress: (4/20) | 4.92 s
-[Task 21/25]  Current/Best:   21.17/  21.17 GFLOPS | Progress: (8/20) | 15.97 s
-[Task 21/25]  Current/Best:    1.68/  22.87 GFLOPS | Progress: (12/20) | 20.62 s
-[Task 21/25]  Current/Best:   18.08/  22.87 GFLOPS | Progress: (16/20) | 22.77 s
-[Task 21/25]  Current/Best:   10.11/  22.87 GFLOPS | Progress: (20/20) | 24.82 s
+[Task 21/25]  Current/Best:   18.03/  19.91 GFLOPS | Progress: (4/20) | 5.30 s
+[Task 21/25]  Current/Best:    9.13/  19.91 GFLOPS | Progress: (8/20) | 7.39 s
+[Task 21/25]  Current/Best:   21.15/  21.15 GFLOPS | Progress: (12/20) | 18.50 s
+[Task 21/25]  Current/Best:    7.77/  21.15 GFLOPS | Progress: (16/20) | 26.08 s
+[Task 21/25]  Current/Best:   12.31/  21.15 GFLOPS | Progress: (20/20) | 37.21 s
 [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:   10.61/  20.73 GFLOPS | Progress: (4/20) | 4.63 s
-[Task 22/25]  Current/Best:    4.60/  22.15 GFLOPS | Progress: (8/20) | 7.87 s
-[Task 22/25]  Current/Best:   11.25/  22.15 GFLOPS | Progress: (12/20) | 9.69 s
-[Task 22/25]  Current/Best:    2.70/  22.15 GFLOPS | Progress: (16/20) | 12.31 s
-[Task 22/25]  Current/Best:   18.71/  22.15 GFLOPS | Progress: (20/20) | 14.62 s Done.
+[Task 22/25]  Current/Best:    7.06/  22.08 GFLOPS | Progress: (4/20) | 6.37 s
+[Task 22/25]  Current/Best:    5.96/  22.08 GFLOPS | Progress: (8/20) | 8.33 s
+[Task 22/25]  Current/Best:    8.11/  22.08 GFLOPS | Progress: (12/20) | 11.82 s
+[Task 22/25]  Current/Best:    6.18/  22.08 GFLOPS | Progress: (16/20) | 14.31 s
+[Task 22/25]  Current/Best:   17.03/  22.08 GFLOPS | Progress: (20/20) | 16.07 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   10.92/  23.00 GFLOPS | Progress: (4/20) | 6.99 s
-[Task 23/25]  Current/Best:   23.84/  24.46 GFLOPS | Progress: (8/20) | 9.45 s
-[Task 23/25]  Current/Best:   19.54/  24.46 GFLOPS | Progress: (12/20) | 13.62 s
-[Task 23/25]  Current/Best:   11.66/  24.46 GFLOPS | Progress: (16/20) | 18.42 s
-[Task 23/25]  Current/Best:    3.18/  24.46 GFLOPS | Progress: (20/20) | 24.48 s Done.
+[Task 23/25]  Current/Best:    7.09/  18.59 GFLOPS | Progress: (4/20) | 7.89 s
+[Task 23/25]  Current/Best:   22.81/  22.81 GFLOPS | Progress: (8/20) | 11.35 s
+[Task 23/25]  Current/Best:    5.34/  22.81 GFLOPS | Progress: (12/20) | 14.21 s
+[Task 23/25]  Current/Best:    5.36/  22.81 GFLOPS | Progress: (16/20) | 17.59 s
+[Task 23/25]  Current/Best:   20.77/  22.81 GFLOPS | Progress: (20/20) | 20.37 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    1.89/   5.55 GFLOPS | Progress: (4/20) | 12.00 s
-[Task 24/25]  Current/Best:    3.13/   5.55 GFLOPS | Progress: (8/20) | 20.21 s
-[Task 24/25]  Current/Best:    2.54/   6.21 GFLOPS | Progress: (12/20) | 31.22 s
-[Task 24/25]  Current/Best:    6.48/   6.48 GFLOPS | Progress: (16/20) | 41.96 s
-[Task 24/25]  Current/Best:    3.35/   8.60 GFLOPS | Progress: (20/20) | 54.70 s
+[Task 24/25]  Current/Best:    3.68/   7.06 GFLOPS | Progress: (4/20) | 13.84 s
+[Task 24/25]  Current/Best:    3.52/   7.06 GFLOPS | Progress: (8/20) | 24.90 s
+[Task 24/25]  Current/Best:    3.65/   7.06 GFLOPS | Progress: (12/20) | 35.95 s
+[Task 24/25]  Current/Best:    8.18/   8.18 GFLOPS | Progress: (16/20) | 39.71 s
+[Task 24/25]  Current/Best:    1.93/   8.18 GFLOPS | Progress: (20/20) | 44.00 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    1.49/   9.38 GFLOPS | Progress: (4/20) | 7.22 s
-[Task 25/25]  Current/Best:    7.99/   9.38 GFLOPS | Progress: (8/20) | 13.83 s
-[Task 25/25]  Current/Best:    4.10/   9.38 GFLOPS | Progress: (12/20) | 16.13 s
-[Task 25/25]  Current/Best:    2.86/   9.38 GFLOPS | Progress: (16/20) | 27.11 s
-[Task 25/25]  Current/Best:   10.41/  10.41 GFLOPS | Progress: (20/20) | 34.24 s
+[Task 25/25]  Current/Best:    1.55/   1.55 GFLOPS | Progress: (4/20) | 13.51 s Done.
+ Done.
+
+[Task 25/25]  Current/Best:    8.26/   8.26 GFLOPS | Progress: (8/20) | 16.90 s
+[Task 25/25]  Current/Best:    1.55/   8.58 GFLOPS | Progress: (12/20) | 27.91 s
+[Task 25/25]  Current/Best:    3.00/   8.58 GFLOPS | Progress: (16/20) | 31.20 s
+[Task 25/25]  Current/Best:    8.96/   8.96 GFLOPS | Progress: (20/20) | 33.13 s
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -1004,8 +1006,6 @@ model using optimized operators to speed up our computations.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Done.
-Done.
-Done.
 </pre></div>
 </div>
 <p>Verify that the optimized model runs and produces the same results:</p>
@@ -1022,8 +1022,8 @@ Done.
     <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;class=&#39;</span><span class="si">%s</span><span class="s2">&#39; with probability=</span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621103
-class=&#39;n02123159 tiger cat&#39; with probability=0.356379
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621105
+class=&#39;n02123159 tiger cat&#39; with probability=0.356377
 class=&#39;n02124075 Egyptian cat&#39; with probability=0.019712
 class=&#39;n02129604 tiger, Panthera tigris&#39; with probability=0.001215
 class=&#39;n04040759 radiator&#39; with probability=0.000262
@@ -1060,8 +1060,8 @@ 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;: 385.9647042699976, &#39;median&#39;: 385.7242821, &#39;std&#39;: 3.452891673095948}
-unoptimized: {&#39;mean&#39;: 480.52208958000176, &#39;median&#39;: 480.02373340000304, &#39;std&#39;: 1.8939232825171328}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 419.62898517999975, &#39;median&#39;: 418.7346512999966, &#39;std&#39;: 2.6652404683162523}
+unoptimized: {&#39;mean&#39;: 496.9483201899993, &#39;median&#39;: 496.99613199999817, &#39;std&#39;: 2.9680941331046067}
 </pre></div>
 </div>
 </div>
@@ -1075,7 +1075,7 @@ models.</p>
 <p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
 supports many more features including cross-compilation, remote execution and
 profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  20.619 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  57.070 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/intro_topi.html b/docs/tutorial/intro_topi.html
index 5ea6f1d9fa..722c7b0b2e 100644
--- a/docs/tutorial/intro_topi.html
+++ b/docs/tutorial/intro_topi.html
@@ -547,7 +547,7 @@ 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, 0x178ca8d0)), stage(b, placeholder(b, 0x192cbd90)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attr [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x29952ef0)), stage(b, placeholder(b, 0x298c1250)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attr [...]
 </pre></div>
 </div>
 <p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index b8e7a2360c..a828276f85 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -381,7 +381,7 @@
             
   <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>16:50.629</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>17:49.699</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -390,31 +390,31 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:20.619</p></td>
+<td><p>13:57.070</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>01:26.435</p></td>
+<td><p>01:43.122</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>00:55.535</p></td>
+<td><p>01:00.358</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="relay_quick_start.html#sphx-glr-tutorial-relay-quick-start-py"><span class="std std-ref">Quick Start Tutorial for Compiling Deep Learning Models</span></a> (<code class="docutils literal notranslate"><span class="pre">relay_quick_start.py</span></code>)</p></td>
-<td><p>00:43.999</p></td>
+<td><p>00:46.050</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>00:21.697</p></td>
+<td><p>00:20.871</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:01.453</p></td>
+<td><p>00:01.301</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.891</p></td>
+<td><p>00:00.927</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index 8454cf9a98..59dfa5063c 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -588,8 +588,8 @@ 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: 0.000008
+naive: 0.000008
 </pre></div>
 </div>
 </div>
@@ -644,7 +644,7 @@ compile and run this new schedule with the parallel operation applied:</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;parallel&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.h [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000009
 </pre></div>
 </div>
 </div>
@@ -683,7 +683,7 @@ 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: 0.000100
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000102
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -720,10 +720,10 @@ class Module:
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator                  Timing             Performance
-   numpy    5.738869999731833e-06                    1.0
-   naive              5.8293e-06      1.0157574575260275
-parallel              6.0716e-06      1.0579783128531774
-  vector             9.95382e-05      17.344564348844152
+   numpy    8.037239999794111e-06                    1.0
+   naive              7.6919e-06      0.9570325136734803
+parallel              9.3131e-06      1.1587435488101105
+  vector    0.00010188839999999998    12.677038386636463
 </pre></div>
 </div>
 <div class="admonition-code-specialization admonition">
@@ -1039,7 +1039,7 @@ 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: 0.015697
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.019004
 </pre></div>
 </div>
 <p>Now we write a basic matrix multiplication using TVM TE and verify that it
@@ -1080,7 +1080,7 @@ 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: 3.123986
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.419816
 </pre></div>
 </div>
 <p>Let’s take a look at the intermediate representation of the operator and
@@ -1144,7 +1144,7 @@ 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: 0.283077
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.291661
 </pre></div>
 </div>
 <p>By reordering the computation to take advantage of caching, you should see a
@@ -1193,7 +1193,7 @@ 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: 0.258079
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.271715
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1242,7 +1242,7 @@ 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: 0.110129
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.115754
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1312,7 +1312,7 @@ 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: 0.103417
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.106834
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1378,7 +1378,7 @@ 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: 0.096935
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.111662
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1435,7 +1435,7 @@ 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: 0.116652
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.134211
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1488,13 +1488,13 @@ 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            3.1239860145                     1.0
-        blocking            0.2830771943      0.0906141042200879
-   vectorization            0.2580791889     0.08261214605383119
-loop permutation     0.11012893879999999     0.03525269904821464
-   array packing            0.1034168038    0.033104118686828395
-   block caching     0.09693465949999999     0.03102915923761412
- parallelization            0.1166522248    0.037340828114645196
+            none            3.4198159803                     1.0
+        blocking            0.2916609604     0.08528557152786166
+   vectorization     0.27171542730000003     0.07945323048527425
+loop permutation     0.11575409839999999     0.03384804886192899
+   array packing     0.10683359350000002    0.031239573741809388
+   block caching            0.1116615501     0.03265133292061072
+ parallelization            0.1342108767    0.039245058059593746
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a
@@ -1526,6 +1526,7 @@ is</p>
 you can build generic templates of the matrix multiplication and other
 operations with tunable parameters that allows you to automatically optimize
 the computation for specific platforms.</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  0.358 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-tensor-expr-get-started-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/40a01cffb015a67aaec0fad7e27cf80d/tensor_expr_get_started.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tensor_expr_get_started.py</span></code></a></p>