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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/03/22 02:54:18 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@89cd74c07d06910990404aab08b3a46bead39d1d)

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 709010476b deploying docs (apache/tvm@89cd74c07d06910990404aab08b3a46bead39d1d)
709010476b is described below

commit 709010476b117e750ed828e9ddb62c0707e70e9c
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Fri Mar 22 02:54:11 2024 +0000

    deploying docs (apache/tvm@89cd74c07d06910990404aab08b3a46bead39d1d)
---
 .../how_to/compile_models/from_darknet.rst.txt     |   2 +-
 .../how_to/compile_models/from_oneflow.rst.txt     |   2 +-
 .../how_to/compile_models/from_paddle.rst.txt      |   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       |  40 +--
 .../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   |   8 +-
 .../tune_with_autotvm/tune_conv2d_cuda.rst.txt     |   2 +-
 .../work_with_microtvm/micro_autotune.rst.txt      |  18 +-
 .../work_with_microtvm/micro_pytorch.rst.txt       |   4 +-
 .../how_to/work_with_microtvm/micro_train.rst.txt  |  16 +-
 .../work_with_microtvm/sg_execution_times.rst.txt  |  14 +-
 .../work_with_relay/sg_execution_times.rst.txt     |   8 +-
 .../how_to/work_with_schedules/intrin_math.rst.txt |   2 +-
 .../work_with_schedules/sg_execution_times.rst.txt |  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 ++---
 .../tutorial/cross_compilation_and_rpc.rst.txt     |   2 +-
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  18 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  44 ++--
 docs/commit_hash                                   |   2 +-
 docs/genindex.html                                 |   6 +
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  16 +-
 docs/how_to/compile_models/from_paddle.html        |   2 +-
 docs/how_to/compile_models/from_pytorch.html       |  17 +-
 docs/how_to/compile_models/from_tensorflow.html    |   2 +-
 docs/how_to/compile_models/sg_execution_times.html |  22 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  28 +--
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  61 +++--
 docs/how_to/deploy_models/deploy_prequantized.html |  10 +-
 .../deploy_models/deploy_prequantized_tflite.html  |   2 +-
 docs/how_to/deploy_models/sg_execution_times.html  |  32 +--
 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      |   8 +-
 .../how_to/tune_with_autotvm/tune_conv2d_cuda.html |   2 +-
 docs/how_to/work_with_microtvm/micro_autotune.html |  18 +-
 docs/how_to/work_with_microtvm/micro_pytorch.html  |   5 +-
 docs/how_to/work_with_microtvm/micro_train.html    |  16 +-
 .../work_with_microtvm/sg_execution_times.html     |  14 +-
 .../how_to/work_with_relay/sg_execution_times.html |   8 +-
 docs/how_to/work_with_schedules/intrin_math.html   |   2 +-
 .../work_with_schedules/sg_execution_times.html    |  14 +-
 docs/objects.inv                                   | Bin 25662 -> 25682 bytes
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 docs/reference/api/python/contrib.html             |  40 +++
 .../api/typedoc/classes/ArtifactCache.html         |  12 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 114 ++++-----
 .../classes/LinearCongruentialGenerator.html       |  16 +-
 docs/reference/api/typedoc/classes/Module.html     |  12 +-
 docs/reference/api/typedoc/classes/NDArray.html    |  30 +--
 docs/reference/api/typedoc/classes/RPCServer.html  |  16 +-
 docs/reference/api/typedoc/classes/Scalar.html     |   8 +-
 docs/reference/api/typedoc/classes/TVMArray.html   |  16 +-
 docs/reference/api/typedoc/classes/TVMObject.html  |  12 +-
 .../api/typedoc/classes/VirtualMachine.html        |  10 +-
 .../classes/_internal_.AsyncifyHandler.html        |  12 +-
 .../classes/_internal_.CachedCallStack.html        |  36 +--
 .../classes/_internal_.CanvasRenderManager.html    |  10 +-
 .../typedoc/classes/_internal_.Environment.html    |  14 +-
 .../api/typedoc/classes/_internal_.FFILibrary.html |  22 +-
 .../api/typedoc/classes/_internal_.Memory.html     |  36 +--
 .../typedoc/classes/_internal_.PackedFuncCell.html |   8 +-
 .../typedoc/classes/_internal_.RuntimeContext.html |  56 ++---
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +--
 .../enums/_internal_.AsyncifyStateKind.html        |   8 +-
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/deleteNDArrayCache.html  |   2 +-
 .../api/typedoc/functions/detectGPUDevice.html     |   2 +-
 .../api/typedoc/functions/hasNDArrayInCache.html   |   2 +-
 .../api/typedoc/functions/instantiate.html         |   2 +-
 docs/reference/api/typedoc/functions/wasmPath.html |   2 +-
 .../api/typedoc/interfaces/Disposable.html         |   4 +-
 .../typedoc/interfaces/GPUDeviceDetectOutput.html  |   8 +-
 .../api/typedoc/interfaces/InitProgressReport.html |  10 +-
 .../api/typedoc/interfaces/LibraryProvider.html    |   6 +-
 .../_internal_.ArtifactCacheTemplate.html          |  10 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.html   |   2 +-
 .../typedoc/types/_internal_.AsyncPackedFunc.html  |   2 +-
 .../types/_internal_.FObjectConstructor.html       |   2 +-
 .../types/_internal_.FTVMWasmAllocSpace.html       |   2 +-
 .../types/_internal_.FTVMWasmFreeSpace.html        |   2 +-
 .../types/_internal_.FTVMWasmPackedCFunc.html      |   2 +-
 .../api/typedoc/types/_internal_.Pointer.html      |   2 +-
 .../typedoc/types/_internal_.TVMObjectBase.html    |   2 +-
 docs/searchindex.js                                |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   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               | 270 ++++++++++-----------
 docs/tutorial/cross_compilation_and_rpc.html       |   2 +-
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  22 +-
 docs/tutorial/tensor_expr_get_started.html         |  44 ++--
 140 files changed, 944 insertions(+), 910 deletions(-)

diff --git a/docs/_sources/how_to/compile_models/from_darknet.rst.txt b/docs/_sources/how_to/compile_models/from_darknet.rst.txt
index 0952a35fd6..b9be938b4f 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  38.988 seconds)
+   **Total running time of the script:** ( 1 minutes  38.294 seconds)
 
 
 .. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index 08daa32fe8..3587a180de 100644
--- a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
@@ -121,7 +121,7 @@ Load a pretrained OneFlow model and save model
  .. code-block:: none
 
     Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
-       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:00, 46.1MB/s]      26%|##5       | 10.7M/41.5M [00:00<00:00, 39.0MB/s]      35%|###4      | 14.4M/41.5M [00:00<00:00, 38.6MB/s]      44%|####3     | 18.1M/41.5M [00:00<00:00, 31.9MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 32.6MB/s]      70%|######9   | 28.9M/41.5M [00:00<00:00, 42.5MB/s]      80%|#######9  | 33.2M/41.5M [00:00<00:00, 38.5MB/s]      97%|#########6| 40.1M/41.5M [00:01<00:00, 46.6MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 42.2MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:01, 35.2MB/s]      23%|##3       | 9.69M/41.5M [00:00<00:01, 26.6MB/s]      39%|###8      | 16.0M/41.5M [00:00<00:00, 33.3MB/s]      58%|#####7    | 24.0M/41.5M [00:00<00:00, 33.3MB/s]      77%|#######7  | 32.0M/41.5M [00:00<00:00, 37.4MB/s]      92%|#########2| 38.3M/41.5M [00:01<00:00, 36.3MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 35.4MB/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 768aec765b..03b2d9c63e 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  4.781 seconds)
+   **Total running time of the script:** ( 1 minutes  5.428 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 130ffd6d58..53a6aee563 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
-       0%|          | 0.00/44.7M [00:00<?, ?B/s]      14%|#4        | 6.30M/44.7M [00:00<00:00, 46.7MB/s]      24%|##4       | 10.8M/44.7M [00:00<00:01, 33.7MB/s]      32%|###2      | 14.3M/44.7M [00:00<00:00, 33.7MB/s]      39%|###9      | 17.6M/44.7M [00:00<00:01, 27.1MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 33.0MB/s]      68%|######7   | 30.3M/44.7M [00:00<00:00, 39.7MB/s]      77%|#######6  | 34.3M/44.7M [00:00<00:00, 40.2MB/s]      86%|########5 | 38.3M/44.7M [00:01<00:00, 39.2MB/s]      94%|#########4| 42.1M/44.7M [00:01<00:00, 36.2MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 38.0MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      18%|#7        | 7.99M/44.7M [00:00<00:00, 61.6MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:00, 55.1MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 57.9MB/s]      71%|#######   | 31.5M/44.7M [00:00<00:00, 64.5MB/s]      85%|########4 | 37.9M/44.7M [00:00<00:00, 63.9MB/s]      99%|#########8| 44.1M/44.7M [00:00<00:00, 48.2MB/s]     100%|##########| 44.7M/44.7M [00:00<00:00, 54.8MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index bc91e07a02..cc875f7b98 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -430,7 +430,7 @@ Run the corresponding model on tensorflow
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  33.905 seconds)
+   **Total running time of the script:** ( 1 minutes  32.477 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 7291b8501f..9800008779 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
 =================
-**06:57.185** total execution time for **how_to_compile_models** files:
+**06:53.544** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:38.988 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:38.294 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:33.905 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:32.477 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:04.781 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:05.428 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:44.692 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:46.836 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:40.472 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:40.209 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:29.439 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:29.439 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:29.096 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:25.977 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.797 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.017 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:03.014 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.868 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
index bc943e12a0..43ebd336f9 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
@@ -673,7 +673,7 @@ well as provides information about the model's performance
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-     4123.6759    4121.4809    4137.6081    4120.0662      4.9687                  
+     4127.6572    4127.1482    4135.8536    4124.7495      3.0885                  
 
 
 
@@ -681,7 +681,7 @@ well as provides information about the model's performance
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  20.889 seconds)
+   **Total running time of the script:** ( 1 minutes  21.000 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 d639f50157..38deef84d2 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
@@ -127,7 +127,7 @@ Make a Keras Resnet50 Model
  .. code-block:: none
 
     Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
-          8192/102967424 [..............................] - ETA: 0s       6635520/102967424 [>.............................] - ETA: 2s       8380416/102967424 [=>............................] - ETA: 3s      16769024/102967424 [===>..........................] - ETA: 2s      25157632/102967424 [======>.......................] - ETA: 2s      33546240/102967424 [========>.....................] - ETA: 1s      40189952/102967424 [==========>...................] - ETA: 1s      41934848/102967424 [===========>..................] - ETA: 1s
       50323456/102967424 [=============>................] - ETA: 1s      56967168/102967424 [===============>..............] - ETA: 1s      58712064/102967424 [================>.............] - ETA: 1s      65355776/102967424 [==================>...........] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      69296128/102967424 [===================>..........] - ETA: 0s      71811072/102967424 [===================>..........] - ETA: 0s      73744384/102967424 [====================>.........] -
  ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 3s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       8380416/102967424 [=>............................] - ETA: 0s      16769024/102967424 [===>..........................] - ETA: 0s      25157632/102967424 [======>.......................] - ETA: 0s      33546240/102967424 [========>.....................] - ETA: 0s      41934848/102967424 [===========>..................] - ETA: 0s      48578560/102967424 [=============>................] - ETA: 0s      50323456/102967424 [=============>................] - ETA: 0s
       56967168/102967424 [===============>..............] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      83582976/102967424 [=======================>......] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s      95379456/102967424 [==========================>...] -
  ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 1s 0us/step
 
 
 
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
index fcaf1eb044..ae0bdb92a4 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      15.5649      15.4018      16.6954      15.0191       0.5230                  
+      16.1196      15.8909      17.6288      15.6426       0.5413                  
 
 
 
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 0102fcc90b..fccba8fc24 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-       0%|          | 0.00/170M [00:00<?, ?B/s]       4%|3         | 6.30M/170M [00:00<00:04, 35.0MB/s]       6%|5         | 9.65M/170M [00:00<00:06, 24.8MB/s]       8%|8         | 14.3M/170M [00:00<00:06, 24.8MB/s]      10%|9         | 16.7M/170M [00:00<00:08, 18.8MB/s]      13%|#3        | 22.3M/170M [00:00<00:05, 26.5MB/s]      15%|#4        | 25.3M/170M [00:01<00:05, 25.6MB/s]      18%|#7        | 30.3M/170M [00:01<00:05, 27.3MB/s]      19%|#9        | 33.1M/170M [00:01<00:06, 23.5MB/s]      24%|##3       | 40.0M/170M [00:01<00:04, 31.6MB/s]      28%|##8       | 48.0M/170M [00:01<00:03, 36.2MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 41.2MB/s]      37%|###6      | 62.3M/170M [00:02<00:03, 33.9MB/s]      39%|###8      | 65.8M/170M [00:02<00:03, 33.7MB/s]      43%|####2     | 72.6M/170M [00:02<00:02, 41.2MB/s]      47%|####6     | 79.7M/170M [00:02<00:01, 48.3MB/s]      50%|####9     | 84.8M/170M [00:02<00:02, 40.9MB/s]      53%|#####2    | 89.3M/170M [00:02<00:02, 38.3MB/
 s]      56%|#####5    | 94.3M/170M [00:02<00:01, 40.8MB/s]      58%|#####8    | 98.5M/170M [00:03<00:01, 38.8MB/s]      61%|######1   | 104M/170M [00:03<00:01, 37.0MB/s]       66%|######5   | 112M/170M [00:03<00:01, 40.1MB/s]      71%|#######   | 120M/170M [00:03<00:01, 45.5MB/s]      74%|#######4  | 126M/170M [00:03<00:01, 43.5MB/s]      79%|#######9  | 134M/170M [00:03<00:00, 46.7MB/s]      82%|########1 | 139M/170M [00:04<00:00, 41.7MB/s]      85%|########4 | 144M/170M [00:04<00:00, 37.2MB/s]      88%|########8 | 150M/170M [00:04<00:00, 40.6MB/s]      91%|######### | 154M/170M [00:04<00:00, 36.9MB/s]      94%|#########4| 160M/170M [00:04<00:00, 32.4MB/s]      98%|#########7| 166M/170M [00:04<00:00, 37.9MB/s]     100%|##########| 170M/170M [00:05<00:00, 35.5MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       4%|3         | 6.30M/170M [00:00<00:04, 36.8MB/s]       6%|5         | 9.81M/170M [00:00<00:04, 35.2MB/s]       8%|8         | 14.4M/170M [00:00<00:04, 40.0MB/s]      11%|#         | 18.3M/170M [00:00<00:04, 38.2MB/s]      14%|#4        | 24.0M/170M [00:00<00:04, 32.8MB/s]      18%|#7        | 30.3M/170M [00:00<00:03, 39.3MB/s]      20%|##        | 34.3M/170M [00:00<00:03, 36.0MB/s]      24%|##3       | 40.1M/170M [00:01<00:03, 40.7MB/s]      28%|##8       | 47.7M/170M [00:01<00:03, 41.6MB/s]      30%|###       | 51.8M/170M [00:01<00:03, 35.8MB/s]      33%|###2      | 56.0M/170M [00:01<00:03, 35.6MB/s]      38%|###7      | 64.0M/170M [00:01<00:02, 39.7MB/s]      42%|####2     | 72.0M/170M [00:01<00:02, 46.3MB/s]      47%|####7     | 80.0M/170M [00:02<00:01, 49.2MB/s]      52%|#####1    | 88.0M/170M [00:02<00:01, 49.4MB/s]      57%|#####6    | 96.0M/170M [00:02<00:01, 47.9MB/s]      60%|######    | 102M/170M [00:02<00:01, 48.3MB/s
 ]       63%|######2   | 107M/170M [00:02<00:01, 46.2MB/s]      66%|######5   | 112M/170M [00:02<00:01, 36.2MB/s]      71%|#######   | 120M/170M [00:03<00:01, 42.4MB/s]      75%|#######4  | 127M/170M [00:03<00:00, 48.8MB/s]      78%|#######7  | 132M/170M [00:03<00:00, 48.5MB/s]      81%|########  | 137M/170M [00:03<00:00, 45.5MB/s]      85%|########4 | 144M/170M [00:03<00:00, 44.3MB/s]      89%|########9 | 152M/170M [00:03<00:00, 47.8MB/s]      94%|#########4| 160M/170M [00:03<00:00, 51.4MB/s]      98%|#########7| 166M/170M [00:03<00:00, 49.4MB/s]     100%|##########| 170M/170M [00:04<00:00, 43.6MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
       (torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -292,7 +292,7 @@ Get boxes with score larger than 0.9
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  53.060 seconds)
+   **Total running time of the script:** ( 3 minutes  46.493 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 9649b8a372..4cc28a048e 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -227,7 +227,7 @@ training. Other models require a full post training calibration.
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
       warnings.warn(msg)
     Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
-       0%|          | 0.00/13.6M [00:00<?, ?B/s]      59%|#####8    | 7.99M/13.6M [00:00<00:00, 34.8MB/s]      90%|########9 | 12.2M/13.6M [00:00<00:00, 30.1MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 33.9MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      49%|####8     | 6.59M/13.6M [00:00<00:00, 69.1MB/s]      97%|#########7| 13.2M/13.6M [00:00<00:00, 50.9MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 54.1MB/s]
 
 
 
@@ -409,7 +409,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      89.3962      89.3444      93.3952      88.7529       0.5305                  
+      89.0210      88.9533      89.8415      88.7681       0.1914                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  35.297 seconds)
+   **Total running time of the script:** ( 1 minutes  33.283 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 71554437e5..45d9a8238e 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
@@ -423,7 +423,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      110.2686     110.1683     114.5451     109.6363      0.5371                  
+      110.6902     110.5814     112.0039     110.0350      0.3806                  
 
 
 
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 49c3a6f864..e615590b1d 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
 =================
-**10:30.260** total execution time for **how_to_deploy_models** files:
+**10:19.161** 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``) | 03:53.060 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:35.297 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:20.889 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:54.312 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:53.646 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:50.085 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:31.603 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:31.359 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.009 | 0.0 MB |
-+------------------------------------------------------------------------------------------------------------------+-----------+--------+
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:46.493  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:33.283  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:20.1000 | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:54.158  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:53.439  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:48.951  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:31.095  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:30.732  | 0.0 MB |
++------------------------------------------------------------------------------------------------------------------+------------+--------+
+| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.010  | 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 955ceb96c9..39fc515e5b 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
 =================
-**00:04.264** total execution time for **how_to_extend_tvm** files:
+**00:04.355** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.974 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:03.029 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.282 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.319 | 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 f442340000..16f74cda9d 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: 25975us [25975us] (47.25%; 47.25%)
-    FoldScaleAxis: 28995us [11us] (52.75%; 52.75%)
-            FoldConstant: 28984us [1934us] (52.73%; 99.96%)
-                    InferType: 27051us [27051us] (49.21%; 93.33%)
+    InferType: 26097us [26097us] (48.44%; 48.44%)
+    FoldScaleAxis: 27778us [10us] (51.56%; 51.56%)
+            FoldConstant: 27769us [1906us] (51.54%; 99.96%)
+                    InferType: 25862us [25862us] (48.00%; 93.14%)
 
 
 
@@ -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: 26524us [26524us] (48.80%; 48.80%)
-    FoldScaleAxis: 27833us [10us] (51.20%; 51.20%)
-            FoldConstant: 27824us [1928us] (51.19%; 99.97%)
-                    InferType: 25895us [25895us] (47.64%; 93.07%)
+    InferType: 26109us [26109us] (48.49%; 48.49%)
+    FoldScaleAxis: 27734us [10us] (51.51%; 51.51%)
+            FoldConstant: 27724us [1965us] (51.49%; 99.96%)
+                    InferType: 25759us [25759us] (47.84%; 92.91%)
 
 
 
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 35646bc0c4..4d930581e5 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
@@ -331,7 +331,7 @@ latency of convolution.
 
  .. code-block:: none
 
-    Convolution: 53.524097 ms
+    Convolution: 53.534561 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 6526187092..e29092afe5 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: 12.278381 ms
+    conv2d with tensor core: 11.413290 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 6aa65cda6a..5f9f8f8231 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: 0.019387
-    Baseline: 3.320441
+    Numpy running time: 0.019109
+    Baseline: 3.304511
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.330449
+    Opt1: 0.302141
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.320685
+    Opt2: 0.313497
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.124406
+    Opt3: 0.117175
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.107964
+    Opt4: 0.107347
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.112680
+    Opt5: 0.112048
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.133658
+    Opt6: 0.133155
 
 
 
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 e3aba10106..50df69b24b 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
 =================
-**00:34.929** total execution time for **how_to_optimize_operators** files:
+**00:34.280** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:31.883 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:31.189 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.850 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.880 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.197 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.212 | 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 fa2a6d239b..7563d53c72 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
 =================
-**03:49.687** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:46.668** 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``)             | 01:40.191 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:39.381 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:16.453 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:15.399 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:19.046 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:18.579 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:17.546 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:17.117 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.349 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.089 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.102 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.103 | 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 1f0fb9db63..d85b3f249a 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: 0.338 ms
+    Execution time of this operator: 0.334 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 3386967eb0..79bdd7b1a4 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-       3.2132       3.2116       3.2165       3.2116       0.0023                  
+       3.2117       3.2119       3.2121       3.2111       0.0004                  
 
 
 
@@ -660,7 +660,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  16.453 seconds)
+   **Total running time of the script:** ( 1 minutes  15.399 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 42f284c0dc..13d200fd31 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -655,7 +655,7 @@ so we can read the log file and load the best schedules.
     Evaluate inference time cost...
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      764.1876     764.6363     765.7275     762.1990      1.4750                  
+      754.9701     754.6494     757.1925     753.0684      1.6989                  
 
 
 
@@ -682,7 +682,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  40.191 seconds)
+   **Total running time of the script:** ( 1 minutes  39.381 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 267666c745..e11317ccc9 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
 =================
-**00:24.093** total execution time for **how_to_tune_with_autotvm** files:
+**00:24.102** 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``)           | 00:24.054 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:24.063 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.023 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)             | 00:00.006 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)               | 00:00.005 | 0.0 MB |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)               | 00:00.005 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index e817e4c4b2..028c0924e0 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: 0.037325
+    Time cost of this operator: 0.037053
 
 
 
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 8f2c9bad00..3faae1c0bc 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  303.9     98.726   (1, 2, 10, 10, 3)  2       1        [303.9]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.954     0.96     (1, 6, 10, 10)     1       1        [2.954]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.968     0.315    (1, 1, 10, 10, 3)  1       1        [0.968]           
-    Total_time                                    -                                             307.822   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  305.3     98.734   (1, 2, 10, 10, 3)  2       1        [305.3]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.959     0.957    (1, 6, 10, 10)     1       1        [2.959]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.956     0.309    (1, 1, 10, 10, 3)  1       1        [0.956]           
+    Total_time                                    -                                             309.216   -        -                  -       -        -                 
 
 
 
@@ -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  100.9     97.372   (1, 6, 10, 10, 1)  2       1        [100.9]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.762     1.701    (1, 6, 10, 10)     1       1        [1.762]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.96      0.927    (1, 1, 10, 10, 3)  1       1        [0.96]            
-    Total_time                                    -                                             103.623   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  103.3     97.532   (1, 6, 10, 10, 1)  2       1        [103.3]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.769     1.67     (1, 6, 10, 10)     1       1        [1.769]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.845     0.798    (1, 3, 10, 10, 1)  1       1        [0.845]           
+    Total_time                                    -                                             105.914   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  32.090 seconds)
+   **Total running time of the script:** ( 1 minutes  31.564 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 872cee851d..4b5c576ade 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
@@ -118,7 +118,7 @@ download a cat image and preprocess it to use as the model input.
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py:310: UserWarning: must run observer before calling calculate_qparams. Returning default values.
       warnings.warn(
     Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
-       0%|          | 0.00/3.42M [00:00<?, ?B/s]      61%|######    | 2.09M/3.42M [00:00<00:00, 12.1MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 19.2MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 70.0MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
       device=storage.device,
     /workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  33.852 seconds)
+   **Total running time of the script:** ( 1 minutes  36.043 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 029d027990..8bdabac37b 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_train.rst.txt
@@ -217,7 +217,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
  .. code-block:: none
 
 
-    '/tmp/tmp_emr6b1r/images/random'
+    '/tmp/tmpki_mdcgf/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmp_emr6b1r/images/target contains 8144 images
-    /tmp/tmp_emr6b1r/images/random contains 5000 images
+    /tmp/tmpki_mdcgf/images/target contains 8144 images
+    /tmp/tmpki_mdcgf/images/random contains 5000 images
 
 
 
@@ -493,13 +493,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 40s - loss: 0.2158 - accuracy: 0.9254 - val_loss: 0.1477 - val_accuracy: 0.9449 - 40s/epoch - 121ms/step
+    328/328 - 42s - loss: 0.2275 - accuracy: 0.9209 - val_loss: 0.1725 - val_accuracy: 0.9388 - 42s/epoch - 127ms/step
     Epoch 2/3
-    328/328 - 36s - loss: 0.0999 - accuracy: 0.9625 - val_loss: 0.0924 - val_accuracy: 0.9679 - 36s/epoch - 109ms/step
+    328/328 - 37s - loss: 0.1038 - accuracy: 0.9646 - val_loss: 0.1000 - val_accuracy: 0.9687 - 37s/epoch - 114ms/step
     Epoch 3/3
-    328/328 - 36s - loss: 0.0640 - accuracy: 0.9759 - val_loss: 0.0990 - val_accuracy: 0.9671 - 36s/epoch - 109ms/step
+    328/328 - 37s - loss: 0.0690 - accuracy: 0.9748 - val_loss: 0.1060 - val_accuracy: 0.9660 - 37s/epoch - 113ms/step
 
-    <keras.callbacks.History object at 0x7f3d3ecb8a30>
+    <keras.callbacks.History object at 0x7f6d50857310>
 
 
 
@@ -860,7 +860,7 @@ Arduino tutorial for how to do that `on GitHub <https://github.com/guberti/tvm-a
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 4 minutes  45.718 seconds)
+   **Total running time of the script:** ( 4 minutes  54.675 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 42c6f291bb..5fbea069da 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
 =================
-**08:22.239** total execution time for **how_to_work_with_microtvm** files:
+**08:32.960** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:45.718 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:54.675 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:33.852 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:36.043 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:32.090 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:31.564 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.692 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.681 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:09.359 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:09.636 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.528 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.362 | 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 73fe754a61..fad0ba7d7d 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
 =================
-**00:40.865** total execution time for **how_to_work_with_relay** files:
+**00:40.053** 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``) | 00:35.327 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:34.777 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.369 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.348 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:02.162 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.921 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)                 | 00:00.007 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 2ae92f1a76..a9a5fa555c 100644
--- a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
@@ -281,7 +281,7 @@ The following example customizes CUDA lowering rule for :code:`exp`.
  .. code-block:: none
 
 
-    <function my_cuda_math_rule at 0x7f3d643e11f0>
+    <function my_cuda_math_rule at 0x7f6d6d64fee0>
 
 
 
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 619e6504ec..21eeda3433 100644
--- a/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_schedules/sg_execution_times.rst.txt
@@ -5,22 +5,22 @@
 
 Computation times
 =================
-**00:05.464** total execution time for **how_to_work_with_schedules** files:
+**00:05.827** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.624 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.616 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.044 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.430 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.747 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.742 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.736 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.132 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.128 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.076 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.073 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.069 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.067 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.034 | 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 0783993ad1..3212b15fd2 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 28.66s!
+    yolov3-tiny inference graph built in 29.05s!
 
 
 
@@ -447,7 +447,7 @@ Download test image
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  2.362 seconds)
+   **Total running time of the script:** ( 1 minutes  2.882 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 b64af1f25c..722719bf53 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
 =================
-**01:02.362** total execution time for **topic_vta_tutorials_frontend** files:
+**01:02.882** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:02.362 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:02.882 | 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 b2ed51b3d9..c9233a1fb9 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
 =================
-**00:03.348** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.367** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.840 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.841 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.509 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.525 | 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 7fedc6c69f..599c0d2d80 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
 =================
-**00:00.830** total execution time for **topic_vta_tutorials** files:
+**00:00.865** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.428 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.458 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.402 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.408 | 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 d970a85e97..8ea0ce8e84 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: 96.324 ms
+    Execution time of this operator: 94.855 ms
 
 
 
@@ -416,7 +416,7 @@ resume the status and do more 5 trials.
  .. code-block:: none
 
     Resume search:
-
+    .T
 
 
 
@@ -434,7 +434,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  23.755 seconds)
+   **Total running time of the script:** ( 1 minutes  30.168 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 7501805f4e..1bd97f5a24 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: 0.51/0.51       result: MeasureResult(costs=(0.5269518320000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.692252397537231, timestamp=1711065709.3788633)  [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
-    No: 2   GFLOPS: 11.03/11.03     result: MeasureResult(costs=(0.024337343,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6373858451843262, timestamp=1711065710.0333495)        [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
-    No: 3   GFLOPS: 11.10/11.10     result: MeasureResult(costs=(0.024173451399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6604716777801514, timestamp=1711065710.6882815)       [('tile_y', [-1, 4]), ('tile_x', [-1, 512])],None,92
-    No: 4   GFLOPS: 1.02/11.10      result: MeasureResult(costs=(0.2629478142,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.468295335769653, timestamp=1711065715.1555805)        [('tile_y', [-1, 128]), ('tile_x', [-1, 2])],None,17
-    No: 5   GFLOPS: 12.66/12.66     result: MeasureResult(costs=(0.0212041442,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7393012046813965, timestamp=1711065716.015679)        [('tile_y', [-1, 64]), ('tile_x', [-1, 128])],None,76
-    No: 6   GFLOPS: 10.26/12.66     result: MeasureResult(costs=(0.026170529199999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7235763072967529, timestamp=1711065716.7051806)       [('tile_y', [-1, 32]), ('tile_x', [-1, 256])],None,85
-    No: 7   GFLOPS: 14.43/14.43     result: MeasureResult(costs=(0.018605470199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6698920726776123, timestamp=1711065717.2734463)       [('tile_y', [-1, 32]), ('tile_x', [-1, 64])],None,65
-    No: 8   GFLOPS: 11.58/14.43     result: MeasureResult(costs=(0.0231715888,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6676692962646484, timestamp=1711065717.900361)        [('tile_y', [-1, 32]), ('tile_x', [-1, 32])],None,55
-    No: 9   GFLOPS: 8.96/14.43      result: MeasureResult(costs=(0.029945533400000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7157635688781738, timestamp=1711065718.7272587)       [('tile_y', [-1, 512]), ('tile_x', [-1, 256])],None,89
-    No: 10  GFLOPS: 10.18/14.43     result: MeasureResult(costs=(0.026375128000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6464846134185791, timestamp=1711065719.408825)        [('tile_y', [-1, 2]), ('tile_x', [-1, 32])],None,51
+    No: 1   GFLOPS: 11.16/11.16     result: MeasureResult(costs=(0.024049037000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6483204364776611, timestamp=1711072683.8066053)       [('tile_y', [-1, 2]), ('tile_x', [-1, 32])],None,51
+    No: 2   GFLOPS: 12.31/12.31     result: MeasureResult(costs=(0.0218061658,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6341552734375, timestamp=1711072684.4172807)  [('tile_y', [-1, 16]), ('tile_x', [-1, 16])],None,44
+    No: 3   GFLOPS: 14.35/14.35     result: MeasureResult(costs=(0.0187052288,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5547218322753906, timestamp=1711072684.9756188)       [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
+    No: 4   GFLOPS: 13.41/14.35     result: MeasureResult(costs=(0.0200239236,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6597609519958496, timestamp=1711072685.562627)        [('tile_y', [-1, 256]), ('tile_x', [-1, 128])],None,78
+    No: 5   GFLOPS: 9.08/14.35      result: MeasureResult(costs=(0.029574929,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7436954975128174, timestamp=1711072686.4326437)        [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
+    No: 6   GFLOPS: 3.43/14.35      result: MeasureResult(costs=(0.0783313672,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5064270496368408, timestamp=1711072687.938928)        [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
+    No: 7   GFLOPS: 12.51/14.35     result: MeasureResult(costs=(0.021450718,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6385042667388916, timestamp=1711072688.5480745)        [('tile_y', [-1, 16]), ('tile_x', [-1, 512])],None,94
+    No: 8   GFLOPS: 0.53/14.35      result: MeasureResult(costs=(0.5098017348,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.41041374206543, timestamp=1711072696.9630833) [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
+    No: 9   GFLOPS: 14.10/14.35     result: MeasureResult(costs=(0.0190320862,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5631680488586426, timestamp=1711072697.6356864)       [('tile_y', [-1, 128]), ('tile_x', [-1, 64])],None,67
+    No: 10  GFLOPS: 11.47/14.35     result: MeasureResult(costs=(0.0234004802,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6010069847106934, timestamp=1711072698.2774506)       [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index f8ceb75b79..fbc4041fc9 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': 493.9675870900828, 'median': 493.99393949988735, 'std': 2.865702503966742}
+    {'mean': 474.7189670800014, 'median': 474.41203834999897, 'std': 2.1772653554174584}
 
 
 
@@ -582,31 +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:   22.96/  22.96 GFLOPS | Progress: (4/20) | 10.45 s     [Task  1/25]  Current/Best:    6.95/  23.82 GFLOPS | Progress: (8/20) | 13.26 s     [Task  1/25]  Current/Best:   13.59/  23.82 GFLOPS | Progress: (12/20) | 16.66 s     [Task  1/25]  Current/Best:   13.88/  23.82 GFLOPS | Progress: (16/20) | 19.35 s     [Task  1/25]  Current/Best:    8.55/  23.82 GFLOPS | Progress: (20/20) | 21.83 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   16.80/  17.16 GFLOPS | Progress: (4/20) | 4.10 s     [Task  2/25]  Current/Best:   11.20/  20.21 GFLOPS | Progress: (8/20) | 5.79 s     [Task  2/25]  Current/Best:    3.43/  20.21 GFLOPS | Progress: (12/20) | 7.46 s     [Task  2/25]  Current/Best:   15.62/  20.21 GFLOPS | Progress: (16/20) | 9.00 s     [Task  2/25]  Current/Best:   16.61/  20.21 GFLOPS | Progress: (20/20) | 10.48 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   21.32/  22.67 GFLOPS | Progress: (4/20) | 4.79 s     [Task  3/25]  Current/Best:   16.21/  22.67 GFLOPS | Progress: (8/20) | 7.62 s     [Task  3/25]  Current/Best:   16.78/  22.99 GFLOPS | Progress: (12/20) | 9.59 s     [Task  3/25]  Current/Best:   12.82/  22.99 GFLOPS | Progress: (16/20) | 11.97 s     [Task  3/25]  Current/Best:   14.78/  22.99 GFLOPS | Progress: (20/20) | 15.71 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   12.90/  21.76 GFLOPS | Progress: (4/20) | 5.79 s     [Task  4/25]  Current/Best:   12.00/  21.76 GFLOPS | Progress: (8/20) | 7.93 s     [Task  4/25]  Current/Best:    5.10/  21.76 GFLOPS | Progress: (12/20) | 10.57 s     [Task  4/25]  Current/Best:   15.65/  21.76 GFLOPS | Progress: (16/20) | 14.82 s     [Task  4/25]  Current/Best:   13.37/  21.76 GFLOPS | Progress: (20/20) | 16.78 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   14.81/  14.86 GFLOPS | Progress: (4/20) | 4.62 s     [Task  5/25]  Current/Best:   12.95/  14.86 GFLOPS | Progress: (8/20) | 7.03 s     [Task  5/25]  Current/Best:   15.41/  15.41 GFLOPS | Progress: (12/20) | 9.33 s     [Task  5/25]  Current/Best:   13.47/  15.41 GFLOPS | Progress: (16/20) | 11.77 s     [Task  5/25]  Current/Best:   14.10/  15.89 GFLOPS | Progress: (20/20) | 14.06 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   14.05/  20.46 GFLOPS | Progress: (4/20) | 4.66 s     [Task  6/25]  Current/Best:    4.67/  20.46 GFLOPS | Progress: (8/20) | 8.74 s     [Task  6/25]  Current/Best:    4.96/  20.46 GFLOPS | Progress: (12/20) | 11.68 s     [Task  6/25]  Current/Best:   18.83/  20.78 GFLOPS | Progress: (16/20) | 13.85 s     [Task  6/25]  Current/Best:   14.67/  20.78 GFLOPS | Progress: (20/20) | 16.82 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   11.48/  20.50 GFLOPS | Progress: (4/20) | 5.29 s     [Task  7/25]  Current/Best:    5.64/  21.09 GFLOPS | Progress: (8/20) | 7.94 s     [Task  7/25]  Current/Best:    8.53/  21.09 GFLOPS | Progress: (12/20) | 11.30 s     [Task  7/25]  Current/Best:   18.27/  21.09 GFLOPS | Progress: (16/20) | 13.68 s     [Task  7/25]  Current/Best:   10.67/  21.09 GFLOPS | Progress: (20/20) | 17.62 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    6.54/  12.84 GFLOPS | Progress: (4/20) | 6.08 s     [Task  8/25]  Current/Best:   15.86/  15.86 GFLOPS | Progress: (8/20) | 17.05 s     [Task  8/25]  Current/Best:    6.30/  15.86 GFLOPS | Progress: (12/20) | 19.89 s     [Task  8/25]  Current/Best:   11.39/  15.86 GFLOPS | Progress: (16/20) | 23.75 s     [Task  8/25]  Current/Best:    3.52/  18.56 GFLOPS | Progress: (20/20) | 26.72 s Done.
-     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:    9.78/  19.16 GFLOPS | Progress: (4/20) | 5.82 s     [Task  9/25]  Current/Best:   20.27/  20.27 GFLOPS | Progress: (8/20) | 11.57 s     [Task  9/25]  Current/Best:    8.14/  20.27 GFLOPS | Progress: (12/20) | 18.86 s     [Task  9/25]  Current/Best:   12.62/  20.27 GFLOPS | Progress: (16/20) | 21.71 s     [Task  9/25]  Current/Best:   13.38/  22.22 GFLOPS | Progress: (20/20) | 23.49 s Done.
-     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   17.31/  18.24 GFLOPS | Progress: (4/20) | 4.32 s     [Task 10/25]  Current/Best:    9.54/  18.24 GFLOPS | Progress: (8/20) | 7.01 s     [Task 10/25]  Current/Best:   17.42/  18.24 GFLOPS | Progress: (12/20) | 8.65 s     [Task 10/25]  Current/Best:   12.51/  18.24 GFLOPS | Progress: (16/20) | 10.49 s     [Task 10/25]  Current/Best:   11.99/  18.37 GFLOPS | Progress: (20/20) | 12.39 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    6.85/  20.03 GFLOPS | Progress: (4/20) | 5.32 s     [Task 11/25]  Current/Best:   20.56/  21.05 GFLOPS | Progress: (8/20) | 7.65 s     [Task 11/25]  Current/Best:    6.30/  21.05 GFLOPS | Progress: (12/20) | 10.15 s     [Task 11/25]  Current/Best:   12.24/  21.28 GFLOPS | Progress: (16/20) | 12.58 s     [Task 11/25]  Current/Best:   18.84/  21.28 GFLOPS | Progress: (20/20) | 14.46 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   12.59/  17.99 GFLOPS | Progress: (4/20) | 6.10 s     [Task 12/25]  Current/Best:   15.49/  17.99 GFLOPS | Progress: (8/20) | 10.22 s     [Task 12/25]  Current/Best:   13.51/  17.99 GFLOPS | Progress: (12/20) | 12.71 s     [Task 12/25]  Current/Best:    8.46/  17.99 GFLOPS | Progress: (16/20) | 17.86 s     [Task 12/25]  Current/Best:   14.71/  17.99 GFLOPS | Progress: (20/20) | 21.55 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   20.49/  20.49 GFLOPS | Progress: (4/20) | 5.33 s     [Task 13/25]  Current/Best:    8.37/  20.49 GFLOPS | Progress: (8/20) | 7.83 s     [Task 13/25]  Current/Best:    7.31/  20.49 GFLOPS | Progress: (12/20) | 11.20 s     [Task 13/25]  Current/Best:    3.10/  20.49 GFLOPS | Progress: (16/20) | 14.65 s     [Task 13/25]  Current/Best:    6.78/  20.49 GFLOPS | Progress: (20/20) | 17.00 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:    9.95/  13.22 GFLOPS | Progress: (4/20) | 14.69 s     [Task 14/25]  Current/Best:   18.33/  18.33 GFLOPS | Progress: (8/20) | 26.11 s     [Task 14/25]  Current/Best:   13.80/  18.33 GFLOPS | Progress: (12/20) | 29.47 s     [Task 14/25]  Current/Best:    8.53/  18.33 GFLOPS | Progress: (16/20) | 33.29 s     [Task 14/25]  Current/Best:   19.27/  19.27 GFLOPS | Progress: (20/20) | 39.32 s     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   12.31/  12.31 GFLOPS | Progress: (4/20) | 7.02 s     [Task 15/25]  Current/Best:    9.85/  19.22 GFLOPS | Progress: (8/20) | 9.82 s     [Task 15/25]  Current/Best:   12.68/  23.19 GFLOPS | Progress: (12/20) | 12.59 s     [Task 15/25]  Current/Best:   23.05/  23.19 GFLOPS | Progress: (16/20) | 21.20 s     [Task 15/25]  Current/Best:    5.52/  23.19 GFLOPS | Progress: (20/
 20) | 32.38 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   18.00/  18.00 GFLOPS | Progress: (4/20) | 5.65 s     [Task 16/25]  Current/Best:   16.48/  18.00 GFLOPS | Progress: (8/20) | 7.72 s     [Task 16/25]  Current/Best:   18.30/  18.30 GFLOPS | Progress: (12/20) | 9.49 s     [Task 16/25]  Current/Best:   12.17/  18.30 GFLOPS | Progress: (16/20) | 12.63 s     [Task 16/25]  Current/Best:   12.33/  20.98 GFLOPS | Progress: (20/20) | 17.03 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   21.48/  21.48 GFLOPS | Progress: (4/20) | 5.01 s     [Task 17/25]  Current/Best:   10.70/  21.48 GFLOPS | Progress: (8/20) | 8.56 s     [Task 17/25]  Current/Best:    6.21/  21.48 GFLOPS | Progress: (12/20) | 11.74 s     [Task 17/25]  Current/Best:   11.83/  21.48 GFLOPS | Progress: (16/20) | 15.03 s     [Task 17/25]  Current/Best:   11.71/  21.48 GFLOPS | Progress: (20/20) | 18.57 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:    6.52/  19.69 GFLOPS | Progress: (4/20) | 4.90 s     [Task 18/25]  Current/Best:   14.25/  19.69 GFLOPS | Progress: (8/20) | 9.36 s     [Task 18/25]  Current/Best:   18.28/  19.69 GFLOPS | Progress: (12/20) | 12.01 s     [Task 18/25]  Current/Best:   16.13/  19.69 GFLOPS | Progress: (16/20) | 15.59 s     [Task 18/25]  Current/Best:   19.84/  19.84 GFLOPS | Progress: (20/20) | 17.59 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    4.78/  18.27 GFLOPS | Progress: (4/20) | 9.20 s     [Task 19/25]  Current/Best:    2.69/  18.27 GFLOPS | Progress: (8/20) | 12.66 s     [Task 19/25]  Current/Best:   11.83/  20.42 GFLOPS | Progress: (12/20) | 15.77 s     [Task 19/25]  Current/Best:    4.88/  20.42 GFLOPS | Progress: (16/20) | 22.04 s     [Task 19/25]  Current/Best:   16.53/  20.57 GFLOPS | Progress: (20/20) | 25.39 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    4.91/   9.84 GFLOPS | Progress: (4/20) | 15.80 s     [Task 20/25]  Current/Best:   10.23/  16.11 GFLOPS | Progress: (8/20) | 22.59 s     [Task 20/25]  Current/Best:   14.46/  19.41 GFLOPS | Progress: (12/20) | 24.65 s     [Task 20/25]  Current/Best:   14.43/  19.41 GFLOPS | Progress: (16/20) | 28.84 s     [Task 20/25]  Current/Best:   10.34/  19.41 GFLOPS | Progress: (20/20) | 32.31 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:   21.59/  22.54 GFLOPS | Progress: (4/20) | 8.76 s     [Task  1/25]  Current/Best:    7.33/  22.54 GFLOPS | Progress: (8/20) | 11.48 s     [Task  1/25]  Current/Best:   14.73/  22.54 GFLOPS | Progress: (12/20) | 14.57 s     [Task  1/25]  Current/Best:    7.25/  22.54 GFLOPS | Progress: (16/20) | 17.32 s     [Task  1/25]  Current/Best:   19.97/  22.54 GFLOPS | Progress: (20/20) | 20.74 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   13.45/  16.31 GFLOPS | Progress: (4/20) | 4.17 s     [Task  2/25]  Current/Best:   18.45/  18.45 GFLOPS | Progress: (8/20) | 6.02 s     [Task  2/25]  Current/Best:    2.22/  18.45 GFLOPS | Progress: (12/20) | 7.73 s     [Task  2/25]  Current/Best:   17.61/  20.19 GFLOPS | Progress: (16/20) | 9.69 s     [Task  2/25]  Current/Best:    6.45/  20.19 GFLOPS | Progress: (20/20) | 11.10 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   21.68/  21.68 GFLOPS | Progress: (4/20) | 4.74 s     [Task  3/25]  Current/Best:   20.83/  21.68 GFLOPS | Progress: (8/20) | 7.22 s     [Task  3/25]  Current/Best:    8.41/  21.70 GFLOPS | Progress: (12/20) | 9.50 s     [Task  3/25]  Current/Best:    6.59/  23.30 GFLOPS | Progress: (16/20) | 11.61 s     [Task  3/25]  Current/Best:    6.55/  23.30 GFLOPS | Progress: (20/20) | 14.04 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   14.67/  17.68 GFLOPS | Progress: (4/20) | 4.42 s     [Task  4/25]  Current/Best:    8.60/  17.68 GFLOPS | Progress: (8/20) | 6.58 s     [Task  4/25]  Current/Best:    6.05/  21.32 GFLOPS | Progress: (12/20) | 12.66 s     [Task  4/25]  Current/Best:   14.11/  21.32 GFLOPS | Progress: (16/20) | 17.01 s     [Task  4/25]  Current/Best:   13.99/  21.32 GFLOPS | Progress: (20/20) | 19.08 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:    4.50/  15.44 GFLOPS | Progress: (4/20) | 4.63 s     [Task  5/25]  Current/Best:    9.28/  17.88 GFLOPS | Progress: (8/20) | 6.47 s     [Task  5/25]  Current/Best:   20.59/  20.59 GFLOPS | Progress: (12/20) | 8.52 s     [Task  5/25]  Current/Best:    6.31/  20.59 GFLOPS | Progress: (16/20) | 10.90 s     [Task  5/25]  Current/Best:    9.45/  20.59 GFLOPS | Progress: (20/20) | 12.97 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    7.70/  16.69 GFLOPS | Progress: (4/20) | 5.33 s     [Task  6/25]  Current/Best:    7.22/  20.63 GFLOPS | Progress: (8/20) | 7.52 s     [Task  6/25]  Current/Best:   10.41/  23.47 GFLOPS | Progress: (12/20) | 10.43 s     [Task  6/25]  Current/Best:   18.19/  23.47 GFLOPS | Progress: (16/20) | 14.52 s     [Task  6/25]  Current/Best:    4.67/  23.47 GFLOPS | Progress: (20/20) | 17.37 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   23.29/  23.29 GFLOPS | Progress: (4/20) | 4.89 s     [Task  7/25]  Current/Best:   16.88/  23.29 GFLOPS | Progress: (8/20) | 7.35 s     [Task  7/25]  Current/Best:   19.55/  23.29 GFLOPS | Progress: (12/20) | 10.56 s     [Task  7/25]  Current/Best:   18.94/  24.07 GFLOPS | Progress: (16/20) | 12.75 s     [Task  7/25]  Current/Best:    8.56/  24.07 GFLOPS | Progress: (20/20) | 15.96 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:    7.40/  16.56 GFLOPS | Progress: (4/20) | 5.02 s     [Task  8/25]  Current/Best:   16.24/  16.56 GFLOPS | Progress: (8/20) | 8.13 s     [Task  8/25]  Current/Best:    6.70/  22.61 GFLOPS | Progress: (12/20) | 12.49 s     [Task  8/25]  Current/Best:   18.34/  22.61 GFLOPS | Progress: (16/20) | 18.38 s     [Task  8/25]  Current/Best:    4.95/  22.61 GFLOPS | Progress: (20/20) | 22.77 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   11.36/  20.62 GFLOPS | Progress: (4/20) | 4.90 s     [Task  9/25]  Current/Best:   14.90/  20.62 GFLOPS | Progress: (8/20) | 7.33 s     [Task  9/25]  Current/Best:   12.20/  20.62 GFLOPS | Progress: (12/20) | 9.32 s     [Task  9/25]  Current/Best:    9.85/  20.79 GFLOPS | Progress: (16/20) | 12.30 s     [Task  9/25]  Current/Best:    6.10/  20.79 GFLOPS | Progress: (20/20) | 15.10 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   11.33/  16.49 GFLOPS | Progress: (4/20) | 5.60 s     [Task 10/25]  Current/Best:   16.53/  16.53 GFLOPS | Progress: (8/20) | 7.83 s     [Task 10/25]  Current/Best:   13.57/  18.93 GFLOPS | Progress: (12/20) | 9.90 s     [Task 10/25]  Current/Best:   18.28/  18.93 GFLOPS | Progress: (16/20) | 11.89 s     [Task 10/25]  Current/Best:    1.67/  18.93 GFLOPS | Progress: (20/20) | 15.68 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   15.02/  21.48 GFLOPS | Progress: (4/20) | 4.88 s     [Task 11/25]  Current/Best:   14.60/  21.51 GFLOPS | Progress: (8/20) | 7.45 s     [Task 11/25]  Current/Best:    7.03/  21.51 GFLOPS | Progress: (12/20) | 9.67 s     [Task 11/25]  Current/Best:   14.51/  21.51 GFLOPS | Progress: (16/20) | 11.88 s     [Task 11/25]  Current/Best:   12.74/  23.43 GFLOPS | Progress: (20/20) | 14.33 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:    9.76/  23.26 GFLOPS | Progress: (4/20) | 7.50 s     [Task 12/25]  Current/Best:   15.77/  23.26 GFLOPS | Progress: (8/20) | 10.40 s     [Task 12/25]  Current/Best:   16.09/  23.26 GFLOPS | Progress: (12/20) | 13.78 s     [Task 12/25]  Current/Best:    3.44/  23.26 GFLOPS | Progress: (16/20) | 16.39 s     [Task 12/25]  Current/Best:   13.21/  23.26 GFLOPS | Progress: (20/20) | 19.81 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   20.62/  21.33 GFLOPS | Progress: (4/20) | 4.78 s     [Task 13/25]  Current/Best:    9.36/  21.33 GFLOPS | Progress: (8/20) | 7.32 s     [Task 13/25]  Current/Best:   20.27/  21.33 GFLOPS | Progress: (12/20) | 9.87 s     [Task 13/25]  Current/Best:   22.83/  22.83 GFLOPS | Progress: (16/20) | 14.20 s     [Task 13/25]  Current/Best:   12.47/  22.83 GFLOPS | Progress: (20/20) | 17.26 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   14.57/  15.44 GFLOPS | Progress: (4/20) | 6.31 s     [Task 14/25]  Current/Best:   14.58/  17.44 GFLOPS | Progress: (8/20) | 17.66 s     [Task 14/25]  Current/Best:    4.12/  17.44 GFLOPS | Progress: (12/20) | 23.66 s     [Task 14/25]  Current/Best:   15.54/  19.48 GFLOPS | Progress: (16/20) | 28.57 s     [Task 14/25]  Current/Best:   17.58/  19.48 GFLOPS | Progress: (20/20) | 34.43 s     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:   10.45/  21.63 GFLOPS | Progress: (4/20) | 6.36 s     [Task 15/25]  Current/Best:   19.69/  21.63 GFLOPS | Progress: (8/20) | 14.97 s     [Task 15/25]  Current/Best:   19.22/  21.63 GFLOPS | Progress: (12/20) | 16.81 s     [Task 15/25]  Current/Best:   20.15/  21.63 GFLOPS | Progress: (16/20) | 27.90 s     [Task 15/25]  Current/Best:   14.25/  21.63 GFLOPS | Progress: (20/
 20) | 31.81 s     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   15.08/  15.08 GFLOPS | Progress: (4/20) | 5.60 s     [Task 16/25]  Current/Best:    9.63/  18.25 GFLOPS | Progress: (8/20) | 8.04 s     [Task 16/25]  Current/Best:   15.28/  18.25 GFLOPS | Progress: (12/20) | 10.35 s     [Task 16/25]  Current/Best:   18.68/  18.68 GFLOPS | Progress: (16/20) | 12.02 s     [Task 16/25]  Current/Best:   19.58/  19.58 GFLOPS | Progress: (20/20) | 15.10 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:    8.02/  19.81 GFLOPS | Progress: (4/20) | 5.75 s Done.
      Done.
-     [Task 21/25]  Current/Best:   22.47/  22.47 GFLOPS | Progress: (4/20) | 11.77 s     [Task 21/25]  Current/Best:    5.15/  22.47 GFLOPS | Progress: (8/20) | 17.55 s     [Task 21/25]  Current/Best:   17.39/  22.47 GFLOPS | Progress: (12/20) | 22.95 s     [Task 21/25]  Current/Best:   11.91/  22.47 GFLOPS | Progress: (16/20) | 34.21 s     [Task 21/25]  Current/Best:    2.71/  22.47 GFLOPS | Progress: (20/20) | 37.52 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   20.59/  20.59 GFLOPS | Progress: (4/20) | 5.12 s     [Task 22/25]  Current/Best:   10.84/  20.59 GFLOPS | Progress: (8/20) | 7.04 s     [Task 22/25]  Current/Best:   16.00/  20.59 GFLOPS | Progress: (12/20) | 9.64 s     [Task 22/25]  Current/Best:   18.05/  20.59 GFLOPS | Progress: (16/20) | 11.43 s     [Task 22/25]  Current/Best:    9.72/  20.59 GFLOPS | Progress: (20/20) | 13.99 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   21.51/  21.51 GFLOPS | Progress: (4/20) | 6.07 s     [Task 23/25]  Current/Best:   17.78/  21.51 GFLOPS | Progress: (8/20) | 9.42 s     [Task 23/25]  Current/Best:   22.10/  22.10 GFLOPS | Progress: (12/20) | 13.30 s     [Task 23/25]  Current/Best:   19.53/  22.10 GFLOPS | Progress: (16/20) | 18.23 s     [Task 23/25]  Current/Best:   18.16/  22.10 GFLOPS | Progress: (20/20) | 21.29 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    1.00/   9.41 GFLOPS | Progress: (4/20) | 13.73 s     [Task 24/25]  Current/Best:    8.26/   9.41 GFLOPS | Progress: (8/20) | 24.76 s     [Task 24/25]  Current/Best:    8.19/   9.41 GFLOPS | Progress: (12/20) | 36.65 s     [Task 24/25]  Current/Best:    9.10/   9.41 GFLOPS | Progress: (16/20) | 39.45 s     [Task 24/25]  Current/Best:    1.68/  10.11 GFLOPS | Progress: (20/20) | 42.66 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    8.20/   8.89 GFLOPS | Progress: (4/20) | 5.44 s     [Task 25/25]  Current/Best:    2.90/   8.89 GFLOPS | Progress: (8/20) | 7.54 s     [Task 25/25]  Current/Best:    6.11/   9.36 GFLOPS | Progress: (12/20) | 18.52 s     [Task 25/25]  Current/Best:    3.01/   9.36 GFLOPS | Progress: (16/20) | 28.90 s Done.
-     Done.
-     [Task 25/25]  Current/Best:    2.84/   9.36 GFLOPS | Progress: (20/20) | 31.09 s Done.
+     [Task 17/25]  Current/Best:    5.54/  21.67 GFLOPS | Progress: (8/20) | 8.80 s     [Task 17/25]  Current/Best:    7.87/  21.67 GFLOPS | Progress: (12/20) | 12.57 s     [Task 17/25]  Current/Best:   18.96/  21.67 GFLOPS | Progress: (16/20) | 15.06 s     [Task 17/25]  Current/Best:    9.50/  21.67 GFLOPS | Progress: (20/20) | 18.98 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   10.34/  18.79 GFLOPS | Progress: (4/20) | 6.92 s     [Task 18/25]  Current/Best:    3.15/  18.79 GFLOPS | Progress: (8/20) | 10.77 s     [Task 18/25]  Current/Best:   21.51/  21.51 GFLOPS | Progress: (12/20) | 13.57 s     [Task 18/25]  Current/Best:    3.21/  21.51 GFLOPS | Progress: (16/20) | 16.69 s     [Task 18/25]  Current/Best:   23.02/  23.02 GFLOPS | Progress: (20/20) | 18.95 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   20.73/  20.73 GFLOPS | Progress: (4/20) | 5.17 s     [Task 19/25]  Current/Best:    5.06/  22.42 GFLOPS | Progress: (8/20) | 11.27 s     [Task 19/25]  Current/Best:   17.59/  22.42 GFLOPS | Progress: (12/20) | 14.67 s     [Task 19/25]  Current/Best:    1.60/  22.42 GFLOPS | Progress: (16/20) | 19.36 s     [Task 19/25]  Current/Best:    4.90/  22.42 GFLOPS | Progress: (20/20) | 23.79 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   18.94/  19.07 GFLOPS | Progress: (4/20) | 4.97 s     [Task 20/25]  Current/Best:   16.11/  20.09 GFLOPS | Progress: (8/20) | 14.68 s     [Task 20/25]  Current/Best:   10.78/  20.09 GFLOPS | Progress: (12/20) | 18.17 s     [Task 20/25]  Current/Best:   20.42/  20.42 GFLOPS | Progress: (16/20) | 27.08 s     [Task 20/25]  Current/Best:   19.10/  20.42 GFLOPS | Progress: (20/20) | 29.22 s Done.
+     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:    8.84/  11.28 GFLOPS | Progress: (4/20) | 10.01 s     [Task 21/25]  Current/Best:   19.22/  19.22 GFLOPS | Progress: (8/20) | 12.80 s     [Task 21/25]  Current/Best:    2.70/  21.40 GFLOPS | Progress: (12/20) | 14.80 s     [Task 21/25]  Current/Best:    5.27/  21.40 GFLOPS | Progress: (16/20) | 16.48 s     [Task 21/25]  Current/Best:   23.49/  23.49 GFLOPS | Progress: (20/20) | 19.59 s Done.
+     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:    6.89/  17.92 GFLOPS | Progress: (4/20) | 4.68 s     [Task 22/25]  Current/Best:    6.76/  20.62 GFLOPS | Progress: (8/20) | 6.69 s     [Task 22/25]  Current/Best:   16.73/  20.93 GFLOPS | Progress: (12/20) | 8.39 s     [Task 22/25]  Current/Best:    3.73/  21.82 GFLOPS | Progress: (16/20) | 10.26 s     [Task 22/25]  Current/Best:   20.22/  21.82 GFLOPS | Progress: (20/20) | 12.94 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   22.69/  23.32 GFLOPS | Progress: (4/20) | 6.28 s     [Task 23/25]  Current/Best:   12.78/  23.32 GFLOPS | Progress: (8/20) | 8.86 s     [Task 23/25]  Current/Best:   12.53/  23.32 GFLOPS | Progress: (12/20) | 13.55 s     [Task 23/25]  Current/Best:   22.75/  23.32 GFLOPS | Progress: (16/20) | 16.57 s     [Task 23/25]  Current/Best:    2.78/  23.32 GFLOPS | Progress: (20/20) | 23.30 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    3.77/   8.06 GFLOPS | Progress: (4/20) | 13.67 s     [Task 24/25]  Current/Best:    9.45/   9.45 GFLOPS | Progress: (8/20) | 25.82 s     [Task 24/25]  Current/Best:    4.51/   9.45 GFLOPS | Progress: (12/20) | 28.51 s     [Task 24/25]  Current/Best:    0.64/   9.45 GFLOPS | Progress: (16/20) | 39.27 s     [Task 24/25]  Current/Best:    3.60/   9.45 GFLOPS | Progress: (20/20) | 52.00 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    1.59/   8.32 GFLOPS | Progress: (4/20) | 5.64 s     [Task 25/25]  Current/Best:    1.59/   8.32 GFLOPS | Progress: (8/20) | 12.08 s     [Task 25/25]  Current/Best:    5.63/   8.32 GFLOPS | Progress: (12/20) | 13.81 s     [Task 25/25]  Current/Best:    8.90/   8.90 GFLOPS | Progress: (16/20) | 24.48 s Done.
+     [Task 25/25]  Current/Best:    2.74/   8.90 GFLOPS | Progress: (20/20) | 31.03 s Done.
 
 
 
@@ -703,8 +703,8 @@ Verify that the optimized model runs and produces the same results:
 
  .. code-block:: none
 
-    class='n02123045 tabby, tabby cat' with probability=0.621103
-    class='n02123159 tiger cat' with probability=0.356379
+    class='n02123045 tabby, tabby cat' with probability=0.621104
+    class='n02123159 tiger cat' with probability=0.356378
     class='n02124075 Egyptian cat' with probability=0.019712
     class='n02129604 tiger, Panthera tigris' with probability=0.001215
     class='n04040759 radiator' with probability=0.000262
@@ -761,8 +761,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 401.55461667000054, 'median': 401.211847400009, 'std': 1.9748839676716876}
-    unoptimized: {'mean': 493.9675870900828, 'median': 493.99393949988735, 'std': 2.865702503966742}
+    optimized: {'mean': 391.682902109992, 'median': 391.0201436999955, 'std': 1.7781416179717782}
+    unoptimized: {'mean': 474.7189670800014, 'median': 474.41203834999897, 'std': 2.1772653554174584}
 
 
 
@@ -785,7 +785,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  34.706 seconds)
+   **Total running time of the script:** ( 12 minutes  57.739 seconds)
 
 
 .. _sphx_glr_download_tutorial_autotvm_relay_x86.py:
diff --git a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
index 9eca64277a..837860b13d 100644
--- a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
@@ -274,7 +274,7 @@ device and returns the measured cost. Network overhead is excluded.
 
  .. code-block:: none
 
-    1.271e-07 secs/op
+    1.239e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 6332205eff..5ebe69284b 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, 0x1007fb80)), stage(b, placeholder(b, 0x14bcbc90)), 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, 0x8f35010)), stage(b, placeholder(b, 0x2345c660)), 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 7ba05ec63a..192e7210a1 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**17:08.716** total execution time for **tutorial** files:
+**16:33.574** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:34.706 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 12:57.739 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:23.755 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:30.168 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:59.068 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:57.664 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:44.244 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:43.517 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:24.965 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:21.250 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.906 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:02.125 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.877 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.905 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.194 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.206 | 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 aac42573ec..61223c5972 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -286,7 +286,7 @@ helper function to run a profile of the TVM generated code.
  .. code-block:: none
 
     Numpy running time: 0.000007
-    naive: 0.000007
+    naive: 0.000006
 
 
 
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
 
  .. code-block:: none
 
-    parallel: 0.000017
+    parallel: 0.000006
 
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000061
+    vector: 0.000038
     # from tvm.script import ir as I
     # from tvm.script import tir as T
 
@@ -498,10 +498,10 @@ We can now compare the different schedules
  .. code-block:: none
 
                 Operator                  Timing             Performance
-                   numpy    6.984140018175822e-06                    1.0
-                   naive    6.941400000000001e-06     0.9938804179090636
-                parallel             1.66183e-05       2.379433968498889
-                  vector             6.11476e-05       8.755208206145195
+                   numpy    6.7395100018075025e-06                   1.0
+                   naive              5.8215e-06      0.8637868329357332
+                parallel              6.0766e-06      0.9016382494232202
+                  vector             3.80643e-05       5.647932860073113
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.018363
+    Numpy running time: 0.017867
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.306721
+    none: 3.211706
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.301650
+    blocking: 0.303858
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.280249
+    vectorization: 0.292319
     # 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: 0.118726
+    loop permutation: 0.112394
     # 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: 0.107194
+    array packing: 0.101950
     # 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: 0.111094
+    block caching: 0.100941
     # 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: 0.131856
+    parallelization: 0.119471
     # 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            3.3067213001                     1.0
-                blocking     0.30165023199999996     0.09122336133706752
-           vectorization            0.2802492739     0.08475140432655297
-        loop permutation            0.1187255629    0.035904314916533654
-           array packing            0.1071942432    0.032417078269268804
-           block caching            0.1110942117     0.03359648474053146
-         parallelization            0.1318559812     0.03987514194075337
+                    none      3.2117055921000004                     1.0
+                blocking            0.3038584922     0.09460969677526376
+           vectorization     0.29231880759999995     0.09101668855297065
+        loop permutation            0.1123940087     0.03499511567201596
+           array packing            0.1019499523    0.031743243387803544
+           block caching            0.1009407516     0.03142901760618695
+         parallelization     0.11947066930000001     0.03719851209085548
 
 
 
diff --git a/docs/commit_hash b/docs/commit_hash
index ac4b4ded88..1dfc4ffc6a 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-6c701fe5b8bfe6e654b0aadb8ff78ea202625804
+89cd74c07d06910990404aab08b3a46bead39d1d
diff --git a/docs/genindex.html b/docs/genindex.html
index 3bd6d9551a..a47a37ca7f 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -1997,6 +1997,12 @@
 
       <ul>
         <li><a href="reference/api/python/runtime.html#tvm.runtime.Module.get_function">(tvm.runtime.Module method)</a>
+</li>
+      </ul></li>
+      <li><a href="reference/api/python/contrib.html#tvm.contrib.cc.get_global_symbol_section_map">get_global_symbol_section_map() (in module tvm.contrib.cc)</a>
+
+      <ul>
+        <li><a href="reference/api/python/contrib.html#tvm.contrib.ndk.get_global_symbol_section_map">(in module tvm.contrib.ndk)</a>
 </li>
       </ul></li>
       <li><a href="reference/api/python/ir.html#tvm.ir.IRModule.get_global_type_var">get_global_type_var() (tvm.ir.IRModule method)</a>
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 6405224f2e..6829614519 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -604,7 +604,7 @@ class:[&#39;truck 0.9266&#39;] left:471 top:83 right:689 bottom:169
 class:[&#39;bicycle 0.9984&#39;] left:111 top:113 right:577 bottom:447
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.988 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  38.294 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index e476fc4f25..2d887a4845 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,15 +468,13 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip&quot; to /workspace/.oneflow/flowvision_cache/resnet18.zip
 
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- 54%|#####3    | 22.3M/41.5M [00:00&lt;00:00, 32.6MB/s]
- 70%|######9   | 28.9M/41.5M [00:00&lt;00:00, 42.5MB/s]
- 80%|#######9  | 33.2M/41.5M [00:00&lt;00:00, 38.5MB/s]
- 97%|#########6| 40.1M/41.5M [00:01&lt;00:00, 46.6MB/s]
-100%|##########| 41.5M/41.5M [00:01&lt;00:00, 42.2MB/s]
+ 15%|#5        | 6.33M/41.5M [00:00&lt;00:01, 35.2MB/s]
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+ 58%|#####7    | 24.0M/41.5M [00:00&lt;00:00, 33.3MB/s]
+ 77%|#######7  | 32.0M/41.5M [00:00&lt;00:00, 37.4MB/s]
+ 92%|#########2| 38.3M/41.5M [00:01&lt;00:00, 36.3MB/s]
+100%|##########| 41.5M/41.5M [00:01&lt;00:00, 35.4MB/s]
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 0a03a50859..47fef1c4e1 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,7 +503,7 @@ To begin, we’ll install PaddlePaddle&gt;=2.1.3:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>TVM prediction top-1 id: 282, class name:  282: &#39;tiger cat&#39;,
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  4.781 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  5.428 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-paddle-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/16269b77359771348d507395692524cf/from_paddle.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_paddle.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_pytorch.html b/docs/how_to/compile_models/from_pytorch.html
index 389072b54a..41c0508320 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,16 +451,13 @@ 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
index 91ced911c4..177c17bbe2 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ banana (score = 0.00022)
 desk (score = 0.00019)
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diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
index 68a7c08763..8dfede8e49 100644
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@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno.html b/docs/how_to/deploy_models/deploy_model_on_adreno.html
index ab5e74b9fc..6719e90bb2 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -850,10 +850,10 @@ Top5 predictions:
 Evaluate inference time cost...
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- 4123.6759    4121.4809    4137.6081    4120.0662      4.9687
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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 15914cc377..85237b163b 100644
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+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
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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 056a9be6f0..c3652b068a 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
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-  15.5649      15.4018      16.6954      15.0191       0.5230
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diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
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--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,37 +474,34 @@ be unstable.</p>
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 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
   (torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -595,7 +592,7 @@ torchvision rcnn models.</p>
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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 57760dc06e..ed0a4e1a37 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,9 +515,9 @@ training. Other models require a full post training calibration.</p>
 Downloading: &quot;https://download.pytorch.org/models/mobilenet_v2-b0353104.pth&quot; to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
 
   0%|          | 0.00/13.6M [00:00&lt;?, ?B/s]
- 59%|#####8    | 7.99M/13.6M [00:00&lt;00:00, 34.8MB/s]
- 90%|########9 | 12.2M/13.6M [00:00&lt;00:00, 30.1MB/s]
-100%|##########| 13.6M/13.6M [00:00&lt;00:00, 33.9MB/s]
+ 49%|####8     | 6.59M/13.6M [00:00&lt;00:00, 69.1MB/s]
+ 97%|#########7| 13.2M/13.6M [00:00&lt;00:00, 50.9MB/s]
+100%|##########| 13.6M/13.6M [00:00&lt;00:00, 54.1MB/s]
 </pre></div>
 </div>
 </div>
@@ -608,7 +608,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  89.3962      89.3444      93.3952      88.7529       0.5305
+  89.0210      88.9533      89.8415      88.7681       0.1914
 </pre></div>
 </div>
 <div class="admonition note">
@@ -647,7 +647,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
 <div class="section" id="deploy-a-quantized-tflite-model">
 <h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
 <p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.297 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  33.283 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/fb8217c13f4351224c6cf3aacf1a87fc/deploy_prequantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_prequantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_prequantized_tflite.html b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
index 9a7b13269f..0c4ab05881 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -600,7 +600,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  110.2686     110.1683     114.5451     109.6363      0.5371
+  110.6902     110.5814     112.0039     110.0350      0.3806
 </pre></div>
 </div>
 <div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index ca74974f91..23eaf5e269 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,48 +360,48 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>10:30.260</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>10:19.161</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
-<col style="width: 86%" />
-<col style="width: 8%" />
+<col style="width: 85%" />
+<col style="width: 9%" />
 <col style="width: 6%" />
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:53.060</p></td>
+<td><p>03:46.493</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:35.297</p></td>
+<td><p>01:33.283</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:20.889</p></td>
+<td><p>01:20.1000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:54.312</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
+<td><p>00:54.158</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>00:53.646</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
+<td><p>00:53.439</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>00:50.085</p></td>
+<td><p>00:48.951</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:31.603</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
+<td><p>00:31.095</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:31.359</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
+<td><p>00:30.732</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
-<td><p>00:00.009</p></td>
+<td><p>00:00.010</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 </tbody>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 7bee42609a..3702fb53e5 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:04.264</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:04.355</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:02.974</p></td>
+<td><p>00:03.029</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.282</p></td>
+<td><p>00:01.319</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 0b0c28eef6..8d4da629e4 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -545,10 +545,10 @@ profile the execution time of each passes.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 25975us [25975us] (47.25%; 47.25%)
-FoldScaleAxis: 28995us [11us] (52.75%; 52.75%)
-        FoldConstant: 28984us [1934us] (52.73%; 99.96%)
-                InferType: 27051us [27051us] (49.21%; 93.33%)
+InferType: 26097us [26097us] (48.44%; 48.44%)
+FoldScaleAxis: 27778us [10us] (51.56%; 51.56%)
+        FoldConstant: 27769us [1906us] (51.54%; 99.96%)
+                InferType: 25862us [25862us] (48.00%; 93.14%)
 </pre></div>
 </div>
 </div>
@@ -570,10 +570,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 26524us [26524us] (48.80%; 48.80%)
-FoldScaleAxis: 27833us [10us] (51.20%; 51.20%)
-        FoldConstant: 27824us [1928us] (51.19%; 99.97%)
-                InferType: 25895us [25895us] (47.64%; 93.07%)
+InferType: 26109us [26109us] (48.49%; 48.49%)
+FoldScaleAxis: 27734us [10us] (51.51%; 51.51%)
+        FoldConstant: 27724us [1965us] (51.49%; 99.96%)
+                InferType: 25759us [25759us] (47.84%; 92.91%)
 </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 1753614907..3acbd03585 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -595,7 +595,7 @@ latency of convolution.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Convolution: </span><span class="si">%f</span><span class="s2"> ms&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">*</span> <span cl [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.524097 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.534561 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 fd8235e63f..d752c42e10 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -877,7 +877,7 @@ be able to run on our build server</p>
     <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.278381 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.413290 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 0c3403d451..57869e2a6b 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -492,8 +492,8 @@ Then we write a baseline implementation, the simplest way to write a matrix mult
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Baseline: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.019387
-Baseline: 3.320441
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.019109
+Baseline: 3.304511
 </pre></div>
 </div>
 <p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -552,7 +552,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt1: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.330449
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.302141
 </pre></div>
 </div>
 <p>Here is the generated IR after blocking.</p>
@@ -609,7 +609,7 @@ vastly.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt2: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.320685
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.313497
 </pre></div>
 </div>
 <p>Here is the generated IR after vectorization.</p>
@@ -664,7 +664,7 @@ the access pattern for A matrix is more cache friendly.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt3: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.124406
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.117175
 </pre></div>
 </div>
 <p>Here is the generated IR after loop permutation.</p>
@@ -741,7 +741,7 @@ flattening.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt4: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.107964
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.107347
 </pre></div>
 </div>
 <p>Here is the generated IR after array packing.</p>
@@ -819,7 +819,7 @@ write to C when all the block results are ready.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt5: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112680
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112048
 </pre></div>
 </div>
 <p>Here is the generated IR after blocking.</p>
@@ -899,7 +899,7 @@ class Module:
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Opt6: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">opt6_time</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.133658
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.133155
 </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 03ddc954a8..914546d1ab 100644
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+++ b/docs/how_to/optimize_operators/sg_execution_times.html
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diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
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+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
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 <span id="sphx-glr-how-to-tune-with-autoscheduler-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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 <td><p>0.0 MB</p></td>
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diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index 14488da116..c521dbf338 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -1032,7 +1032,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.334 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 fa7a1a2d24..32e03d9688 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -923,7 +923,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-   3.2132       3.2116       3.2165       3.2116       0.0023
+   3.2117       3.2119       3.2121       3.2111       0.0004
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 </div>
 </div>
@@ -945,7 +945,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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 <p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 3b6409094a..0022b1a15e 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -945,7 +945,7 @@ so we can read the log file and load the best schedules.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  764.1876     764.6363     765.7275     762.1990      1.4750
+  754.9701     754.6494     757.1925     753.0684      1.6989
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 </div>
 </div>
@@ -967,7 +967,7 @@ to learn how to use the RPC Tracker and RPC Server.
 To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
 with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index 99a604d41f..a5d3b21e4f 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:24.093</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:24.102</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
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+<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>
 <td><p>00:00.005</p></td>
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diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index 3750ae3985..a08a52d791 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -630,7 +630,7 @@ and measure running time.</p>
 
 Best config:
 ,None
-Time cost of this operator: 0.037325
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diff --git a/docs/how_to/work_with_microtvm/micro_autotune.html b/docs/how_to/work_with_microtvm/micro_autotune.html
index fffaba6089..e611d77106 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -664,10 +664,10 @@ the tuned operator.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  303.9     98.726   (1, 2, 10, 10, 3)  2       1        [303.9]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.954     0.96     (1, 6, 10, 10)     1       1        [2.954]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.968     0.315    (1, 1, 10, 10, 3)  1       1        [0.968]
-Total_time                                    -                                             307.822   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  305.3     98.734   (1, 2, 10, 10, 3)  2       1        [305.3]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.959     0.957    (1, 6, 10, 10)     1       1        [2.959]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.956     0.309    (1, 1, 10, 10, 3)  1       1        [0.956]
+Total_time                                    -                                             309.216   -        -                  -       -        -
 </pre></div>
 </div>
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@@ -719,13 +719,13 @@ Total_time                                    -
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
 Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)
 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.9     97.372   (1, 6, 10, 10, 1)  2       1        [100.9]
-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.762     1.701    (1, 6, 10, 10)     1       1        [1.762]
-tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.96      0.927    (1, 1, 10, 10, 3)  1       1        [0.96]
-Total_time                                    -                                             103.623   -        -                  -       -        -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  103.3     97.532   (1, 6, 10, 10, 1)  2       1        [103.3]
+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.769     1.67     (1, 6, 10, 10)     1       1        [1.769]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.845     0.798    (1, 3, 10, 10, 1)  1       1        [0.845]
+Total_time                                    -                                             105.914   -        -                  -       -        -
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diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index 525b1938d4..2b9eedec6c 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,8 +475,7 @@ 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]
- 61%|######    | 2.09M/3.42M [00:00&lt;00:00, 12.1MB/s]
-100%|##########| 3.42M/3.42M [00:00&lt;00:00, 19.2MB/s]
+100%|##########| 3.42M/3.42M [00:00&lt;00:00, 70.0MB/s]
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   device=storage.device,
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@@ -604,7 +603,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
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+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
 The policy randomly samples programs from the space defined by sketches and use evolutionary
 search to fine-tune them.</p>
@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
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+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
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+++ b/docs/reference/api/python/contrib.html
@@ -596,6 +596,26 @@ of objects or an object file.</p></li>
 </dl>
 </dd></dl>
 
+<dl class="py function">
+<dt class="sig sig-object py" id="tvm.contrib.cc.get_global_symbol_section_map">
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+<dd><p>Get global symbols from a library via nm -g</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The library path</p></li>
+<li><p><strong>nm</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The path to nm command</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><strong>symbol_section_map</strong> – A map from defined global symbol to their sections</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>]</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.contrib.cc.get_target_by_dump_machine">
 <span class="sig-prename descclassname"><span class="pre">tvm.contrib.cc.</span></span><span class="sig-name descname"><span class="pre">get_target_by_dump_machine</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">compiler</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.contrib.cc.get_target_by_dump_machine" title="Permalink to this definition">¶</a></dt>
@@ -897,6 +917,26 @@ Run asynchrously in MXNet’s async engine.</p>
 </dl>
 </dd></dl>
 
+<dl class="py function">
+<dt class="sig sig-object py" id="tvm.contrib.ndk.get_global_symbol_section_map">
+<span class="sig-prename descclassname"><span class="pre">tvm.contrib.ndk.</span></span><span class="sig-name descname"><span class="pre">get_global_symbol_section_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nm</span></span><span class="o"><span class="pre">=</span></span [...]
+<dd><p>Get global symbols from a library via nm -gU in NDK</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The library path</p></li>
+<li><p><strong>nm</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The path to nm command</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><strong>symbol_section_map</strong> – A map from defined global symbol to their sections</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>]</p>
+</dd>
+</dl>
+</dd></dl>
+
 </div>
 <div class="section" id="module-tvm.contrib.nnpack">
 <span id="tvm-contrib-nnpack"></span><h2>tvm.contrib.nnpack<a class="headerlink" href="#module-tvm.contrib.nnpack" title="Permalink to this headline">¶</a></h2>
diff --git a/docs/reference/api/typedoc/classes/ArtifactCache.html b/docs/reference/api/typedoc/classes/ArtifactCache.html
index 7346e5b79a..067edc5d23 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -27,7 +27,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/_internal_.ArtifactCacheTemplate.html" class="tsd-signature-type tsd-kind-interface">ArtifactCacheTemplate</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1001">runtime.ts:1001</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1001">runtime.ts:1001</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">
@@ -58,7 +58,7 @@
 <h5><span class="tsd-kind-parameter">scope</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="ArtifactCache.html" class="tsd-signature-type tsd-kind-class">ArtifactCache</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="addToCache" class="tsd-anchor"></a>
@@ -76,7 +76,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#addToCache">addToCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1025">runtime.ts:1025</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -92,7 +92,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -108,7 +108,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1009">runtime.ts:1009</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1009">runtime.ts:1009</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -124,7 +124,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1036">runtime.ts:1036</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1036">runtime.ts:1036</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index eb1917c8f0..f0fcbf43d6 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/6c701fe5b/web/src/runtime.ts#L411">runtime.ts:411</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L411">runtime.ts:411</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
 <h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L419">runtime.ts:419</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L419">runtime.ts:419</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -71,21 +71,21 @@
 <div class="tsd-comment tsd-typography"><p>Number of bits in the data type.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L415">runtime.ts:415</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The type code</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L413">runtime.ts:413</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L413">runtime.ts:413</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>Number of vector lanes.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L417">runtime.ts:417</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L417">runtime.ts:417</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L434">runtime.ts:434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L434">runtime.ts:434</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -103,7 +103,7 @@
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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/6c701fe5b/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index 0813acecc4..808adc8c95 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -23,7 +23,7 @@
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 <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/6c701fe5b/web/src/runtime.ts#L351">runtime.ts:351</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L351">runtime.ts:351</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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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/6c701fe5b/web/src/runtime.ts#L359">runtime.ts:359</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L359">runtime.ts:359</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
 <div class="tsd-comment tsd-typography"><p>The device index.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L355">runtime.ts:355</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L355">runtime.ts:355</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The device type code of the device.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L353">runtime.ts:353</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L353">runtime.ts:353</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L378">runtime.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L378">runtime.ts:378</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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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/6c701fe5b/web/src/runtime.ts#L385">runtime.ts:385</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L385">runtime.ts:385</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index 6be2e49544..303790ef0b 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -145,24 +145,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1103">runtime.ts:1103</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1103">runtime.ts:1103</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1075">runtime.ts:1075</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1075">runtime.ts:1075</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1074">runtime.ts:1074</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1074">runtime.ts:1074</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1073">runtime.ts:1073</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1073">runtime.ts:1073</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -198,7 +198,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1870">runtime.ts:1870</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1870">runtime.ts:1870</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -223,7 +223,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1857">runtime.ts:1857</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1857">runtime.ts:1857</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -244,7 +244,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1887">runtime.ts:1887</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1887">runtime.ts:1887</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -261,7 +261,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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>
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@@ -272,7 +272,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The asynctify mode toggle</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1171">runtime.ts:1171</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1171">runtime.ts:1171</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -299,7 +299,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1236">runtime.ts:1236</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1236">runtime.ts:1236</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -309,7 +309,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -344,7 +344,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1146">runtime.ts:1146</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1146">runtime.ts:1146</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -361,7 +361,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1895">runtime.ts:1895</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1895">runtime.ts:1895</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -371,7 +371,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/runtime.ts#L1926">runtime.ts:1926</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -388,7 +388,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1737">runtime.ts:1737</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1737">runtime.ts:1737</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -406,7 +406,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1414">runtime.ts:1414</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1414">runtime.ts:1414</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -432,7 +432,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1263">runtime.ts:1263</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1263">runtime.ts:1263</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -454,7 +454,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1729">runtime.ts:1729</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1729">runtime.ts:1729</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -467,7 +467,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1175">runtime.ts:1175</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1175">runtime.ts:1175</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -493,7 +493,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The created ndarray.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1757">runtime.ts:1757</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1757">runtime.ts:1757</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -506,7 +506,7 @@ a value to parent scope.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1206">runtime.ts:1206</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -532,7 +532,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1505">runtime.ts:1505</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1505">runtime.ts:1505</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1351">runtime.ts:1351</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1351">runtime.ts:1351</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -571,7 +571,7 @@ a value to parent scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1442">runtime.ts:1442</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1442">runtime.ts:1442</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -589,7 +589,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1453">runtime.ts:1453</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1453">runtime.ts:1453</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -606,7 +606,7 @@ a value to parent scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L2152">runtime.ts:2152</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L2152">runtime.ts:2152</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -624,7 +624,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1386">runtime.ts:1386</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1386">runtime.ts:1386</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -635,7 +635,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1279">runtime.ts:1279</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1279">runtime.ts:1279</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -653,7 +653,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -671,7 +671,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/runtime.ts#L1951">runtime.ts:1951</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -691,7 +691,7 @@ and needs to b explicitly disposed.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1939">runtime.ts:1939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1939">runtime.ts:1939</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -716,7 +716,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1249">runtime.ts:1249</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1249">runtime.ts:1249</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -726,7 +726,7 @@ alive when exit the current scope.</p>
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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/6c701fe5b/web/src/runtime.ts#L1493">runtime.ts:1493</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1493">runtime.ts:1493</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -744,7 +744,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1466">runtime.ts:1466</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1466">runtime.ts:1466</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -762,7 +762,7 @@ alive when exit the current scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1475">runtime.ts:1475</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1475">runtime.ts:1475</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -785,7 +785,7 @@ alive when exit the current scope.</p>
 <h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1484">runtime.ts:1484</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1484">runtime.ts:1484</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -813,7 +813,7 @@ These functions contains explicit continuation</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncifyFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Asyncify<wbr/>Func</span><a href="#registerAsyncifyFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -852,7 +852,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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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@@ -875,7 +875,7 @@ The wasm needs to be compiled with Asynctify</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1318">runtime.ts:1318</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -892,7 +892,7 @@ The wasm needs to be compiled with Asynctify</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1184">runtime.ts:1184</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1836">runtime.ts:1836</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1719">runtime.ts:1719</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
 <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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@@ -1027,7 +1027,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L2290">runtime.ts:2290</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
 <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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@@ -1042,7 +1042,7 @@ 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/6c701fe5b/web/src/runtime.ts#L1824">runtime.ts:1824</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1824">runtime.ts:1824</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1059,7 +1059,7 @@ Allocate new temporary space from the stack if necessary.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1904">runtime.ts:1904</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1071,7 +1071,7 @@ System lib is a global module that contains self register functions in startup.<
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1272">runtime.ts:1272</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1089,7 +1089,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1673">runtime.ts:1673</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1673">runtime.ts:1673</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1107,7 +1107,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1397">runtime.ts:1397</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1397">runtime.ts:1397</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1125,7 +1125,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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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@@ -1155,7 +1155,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1803">runtime.ts:1803</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1172,7 +1172,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1745">runtime.ts:1745</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1205,7 +1205,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L1220">runtime.ts:1220</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="wrapAsyncifyPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wrap<wbr/>Asyncify<wbr/>Packed<wbr/>Func</span><a href="#wrapAsyncifyPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1228,7 +1228,7 @@ to make sure you use await when calling the funciton.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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diff --git a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
index 25dfe34a4d..2e2f7fb23a 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/6c701fe5b/web/src/support.ts#L87">support.ts:87</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L87">support.ts:87</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
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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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/support.ts#L97">support.ts:97</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L97">support.ts:97</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>increment</span><a href="#increment" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <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/6c701fe5b/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="modulus" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>modulus</span><a href="#modulus" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">modulus</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L88">support.ts:88</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="multiplier" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="nextInt" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L126">support.ts:126</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="randomFloat" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>random<wbr/>Float</span><a href="#randomFloat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -100,7 +100,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L140">support.ts:140</a></li></ul></aside></li></ul></section>
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 <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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L110">support.ts:110</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L699">runtime.ts:699</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L699">runtime.ts:699</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L704">runtime.ts:704</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="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/6c701fe5b/web/src/runtime.ts#L714">runtime.ts:714</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L714">runtime.ts:714</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L742">runtime.ts:742</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
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@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L729">runtime.ts:729</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
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@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L776">runtime.ts:776</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index c3e6bf38c1..61126602ba 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/6c701fe5b/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
@@ -85,35 +85,35 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
 <div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="isView" class="tsd-anchor"></a>
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 <div class="tsd-comment tsd-typography"><p>Whether it is a temporary view that can become invalid after the call.</p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L454">runtime.ts:454</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L446">runtime.ts:446</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
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 <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/6c701fe5b/web/src/runtime.ts#L450">runtime.ts:450</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L450">runtime.ts:450</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -134,7 +134,7 @@ The number of elements must match.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L562">runtime.ts:562</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L562">runtime.ts:562</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -152,7 +152,7 @@ The number of elements must match.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L606">runtime.ts:606</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L606">runtime.ts:606</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -165,7 +165,7 @@ only the first call will take effect.</p>
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 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L547">runtime.ts:547</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L547">runtime.ts:547</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -176,7 +176,7 @@ 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/6c701fe5b/web/src/runtime.ts#L540">runtime.ts:540</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L540">runtime.ts:540</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -194,7 +194,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L528">runtime.ts:528</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L528">runtime.ts:528</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L672">runtime.ts:672</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L672">runtime.ts:672</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L641">runtime.ts:641</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L641">runtime.ts:641</a></li></ul></aside></li></ul></section>
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 <ul class="tsd-signatures">
@@ -235,7 +235,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L517">runtime.ts:517</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 543e40bf8f..437bb06dc7 100644
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@@ -23,7 +23,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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 <h4 class="tsd-returns-title">Returns <a href="RPCServer.html" class="tsd-signature-type tsd-kind-class">RPCServer</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
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 <section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -113,12 +113,12 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/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/89cd74c07/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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 <div class="tsd-signature"><span class="tsd-kind-property">state</span><span class="tsd-signature-symbol">:</span> <a href="../enums/_internal_.RPCServerState.html" class="tsd-signature-type tsd-kind-enum">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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 3d024c43a8..fe9be0791a 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/6c701fe5b/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L289">runtime.ts:289</a></li></ul></aside>
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
 <h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
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 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L293">runtime.ts:293</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
 <div class="tsd-comment tsd-typography"><p>The value.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 55949feae0..9e1ca9b516 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
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@@ -25,7 +25,7 @@
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L873">runtime.ts:873</a></li></ul></aside>
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@@ -63,7 +63,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L874">runtime.ts:874</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L874">runtime.ts:874</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
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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/6c701fe5b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L893">runtime.ts:893</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L893">runtime.ts:893</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L885">runtime.ts:885</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L885">runtime.ts:885</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ only the first call will take effect.</p>
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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/6c701fe5b/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -147,7 +147,7 @@ only the first call will take effect.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index b1148dbc15..335ee07def 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L789">runtime.ts:789</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L789">runtime.ts:789</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -108,7 +108,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index ffb0101a45..4af364e56b 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
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@@ -30,7 +30,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside>
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@@ -68,7 +68,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L948">runtime.ts:948</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L948">runtime.ts:948</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -101,7 +101,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
index 16c3f2cd63..c1718279bc 100644
--- a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
+++ b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -57,7 +57,7 @@
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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/6c701fe5b/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/89cd74c07/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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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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 </li></ul></li></ul><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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 d53abe746c..df8c00d12d 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <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/6c701fe5b/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/89cd74c07/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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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>
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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/6c701fe5b/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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.</
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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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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.</
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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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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.</
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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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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 be21f96472..928f18d4b2 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/6c701fe5b/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@ which needs to be explicitly disposed.</p>
 <h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="clear" class="tsd-anchor"></a>
@@ -71,7 +71,7 @@ which needs to be explicitly disposed.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -84,7 +84,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="draw" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw</span><a href="#draw" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">width</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index 3e9caf4db6..2b44d2bae0 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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/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/6c701fe5b/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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 286d6e35cd..4e74168744 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/6c701fe5b/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
 <h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L55">runtime.ts:55</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L55">runtime.ts:55</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L54">runtime.ts:54</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L54">runtime.ts:54</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L53">runtime.ts:53</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L53">runtime.ts:53</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -106,7 +106,7 @@
 <h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L75">runtime.ts:75</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L75">runtime.ts:75</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -127,7 +127,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L94">runtime.ts:94</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L94">runtime.ts:94</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -140,7 +140,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L105">runtime.ts:105</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L105">runtime.ts:105</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -148,7 +148,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L82">runtime.ts:82</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L82">runtime.ts:82</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index 57e54bd2fa..5866681a81 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/6c701fe5b/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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/6c701fe5b/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/89cd74c07/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 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
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@@ -153,7 +153,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -166,7 +166,7 @@
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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/6c701fe5b/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -187,7 +187,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -204,7 +204,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -217,7 +217,7 @@
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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/6c701fe5b/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U32</span><a href="#loadU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -230,7 +230,7 @@
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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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 <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/6c701fe5b/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/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/89cd74c07/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -264,7 +264,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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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@@ -285,7 +285,7 @@
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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 e25e2931ff..67c7b319a9 100644
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+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L304">runtime.ts:304</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/6c701fe5b/web/src/runtime.ts#L308">runtime.ts:308</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L308">runtime.ts:308</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/6c701fe5b/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <h5><span class="tsd-kind-parameter">requireNotNull</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</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/6c701fe5b/web/src/runtime.ts#L322">runtime.ts:322</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L322">runtime.ts:322</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
index d1a627c896..ab25d3ef2a 100644
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L175">runtime.ts:175</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L175">runtime.ts:175</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <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/6c701fe5b/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
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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/6c701fe5b/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheGet" class="tsd-anchor"></a>
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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">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Remove</span><a href="#arrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/6c701fe5b/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L162">runtime.ts:162</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>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
 <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>
 <div class="tsd-signature"><span class="tsd-kind-property">array<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/6c701fe5b/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
 <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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
 <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/6c701fe5b/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Prob</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L221">runtime.ts:221</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L221">runtime.ts:221</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -251,7 +251,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L266">runtime.ts:266</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L266">runtime.ts:266</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -264,7 +264,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L198">runtime.ts:198</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L198">runtime.ts:198</a></li></ul></aside></li></ul></section>
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@@ -272,7 +272,7 @@ only the first call will take effect.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L225">runtime.ts:225</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -290,7 +290,7 @@ only the first call will take effect.</p>
 <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/6c701fe5b/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index 52d2633515..f955e36389 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
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 <li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L899">runtime.ts:899</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L899">runtime.ts:899</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -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/6c701fe5b/web/src/runtime.ts#L900">runtime.ts:900</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L900">runtime.ts:900</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -97,7 +97,7 @@ only the first call will take effect.</p>
 <aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L819">runtime.ts:819</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -107,7 +107,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><p>the size of the array.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L911">runtime.ts:911</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L911">runtime.ts:911</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L827">runtime.ts:827</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures tsd-is-inherited">
@@ -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/6c701fe5b/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 4a7759c107..c2567f81ce 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/6c701fe5b/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L345">webgpu.ts:345</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/6c701fe5b/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L370">webgpu.ts:370</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/6c701fe5b/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
 </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/6c701fe5b/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/89cd74c07/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
 </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/6c701fe5b/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
 </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/6c701fe5b/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <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/6c701fe5b/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
 <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/6c701fe5b/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
 </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/6c701fe5b/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -216,7 +216,7 @@ via createComputePipelineAsync</p>
 </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/6c701fe5b/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -232,7 +232,7 @@ via createComputePipelineAsync</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The corresponding device api.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -242,7 +242,7 @@ via createComputePipelineAsync</p>
 </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/6c701fe5b/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sync</span><a href="#sync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -252,7 +252,7 @@ via createComputePipelineAsync</p>
 </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/6c701fe5b/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/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/89cd74c07/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L64">support.ts:64</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/89cd74c07/web/src/runtime.ts#L2612">runtime.ts:2612</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/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/89cd74c07/web/src/runtime.ts#L2587">runtime.ts:2587</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L2573">runtime.ts:2573</a></li></ul></aside></li></ul></section></div>
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index 548321caa5..71125d712c 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/support.ts#L74">support.ts:74</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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index 0a64c2725f..0b6fd791a1 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">adapter<wbr/>Info</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUAdapterInfo</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/InitProgressReport.html b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
index f1ea4c1fa0..9b5116ff6a 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L989">runtime.ts:989</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L990">runtime.ts:990</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L990">runtime.ts:990</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="text" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L993">runtime.ts:993</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L993">runtime.ts:993</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="timeElapsed" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
index 00fcc85e23..378b8f82a7 100644
--- a/docs/reference/api/typedoc/interfaces/LibraryProvider.html
+++ b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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 <div class="tsd-comment tsd-typography"><p>The imports that can be passed to WebAssembly instance creation.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
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@@ -73,7 +73,7 @@ to allow the library provider to initialize related resources during startup tim
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.ArtifactCacheTemplate.html b/docs/reference/api/typedoc/interfaces/_internal_.ArtifactCacheTemplate.html
index 5dcfbc2432..b28f4528e9 100644
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -57,7 +57,7 @@
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 <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/6c701fe5b/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</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>
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@@ -72,7 +72,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/artifact_cache.ts#L41">artifact_cache.ts:41</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">
@@ -87,7 +87,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/artifact_cache.ts#L36">artifact_cache.ts:36</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
index 2cf6f2e205..eae5a46410 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="launch_param_tags" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
index b8abde0a38..f44d008d9d 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
index aa5f686d0e..88b3fc8fcd 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
@@ -21,7 +21,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="format" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/6c701fe5b/web/src/runtime.ts#L985">runtime.ts:985</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L985">runtime.ts:985</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L986">runtime.ts:986</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/types/InitProgressCallback.html b/docs/reference/api/typedoc/types/InitProgressCallback.html
index 9ffc08f620..5ccb72012b 100644
--- a/docs/reference/api/typedoc/types/InitProgressCallback.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/PackedFunc.html b/docs/reference/api/typedoc/types/PackedFunc.html
index df2be238c4..4ad3cd7ed8 100644
--- a/docs/reference/api/typedoc/types/PackedFunc.html
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@@ -19,7 +19,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L38">runtime.ts:38</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.AsyncPackedFunc.html b/docs/reference/api/typedoc/types/_internal_.AsyncPackedFunc.html
index 734b8ca071..2835da604b 100644
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@@ -21,7 +21,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></div>
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index 8f73df7a90..0fb3660afe 100644
--- a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L867">runtime.ts:867</a></li></ul></aside></div>
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index 5d5ff7f6a7..b9f661c11f 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
index cd12714a76..5724f0682d 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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index 964b8100db..cc1ab49d76 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
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--- a/docs/reference/api/typedoc/types/_internal_.Pointer.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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index b964d1abe4..7c2676a3f5 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/89cd74c07/web/src/runtime.ts#L870">runtime.ts:870</a></li></ul></aside></div>
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diff --git a/docs/searchindex.js b/docs/searchindex.js
index a50537bfb0..3fd7196de0 100644
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\ No newline at end of file
+Search.setIndex({docnames:["arch/benchmark","arch/convert_layout","arch/debugger","arch/device_target_interactions","arch/frontend/tensorflow","arch/hybrid_script","arch/index","arch/inferbound","arch/introduction_to_module_serialization","arch/microtvm_design","arch/microtvm_project_api","arch/model_library_format","arch/pass_infra","arch/relay_intro","arch/relay_op_strategy","arch/runtime","arch/runtimes/vulkan","arch/security","arch/virtual_machine","contribute/ci","contribute/code_gu [...]
\ 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 9bb262a9fb..9e16d4b046 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -619,7 +619,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
   warnings.warn(
-yolov3-tiny inference graph built in 28.66s!
+yolov3-tiny inference graph built in 29.05s!
 </pre></div>
 </div>
 </div>
@@ -704,7 +704,7 @@ Download test image</p>
         alu_counter     :           849056
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  2.362 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  2.882 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 1bf7583a35..ae8f208dae 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:02.362</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:02.882</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,7 +369,7 @@
 </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>01:02.362</p></td>
+<td><p>01:02.882</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 f8cc082492..b8e3523371 100644
--- a/docs/topic/vta/tutorials/optimize/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <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>00:03.348</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.367</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 84%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="convolution_opt.html#sphx-glr-topic-vta-tutorials-optimize-convolution-opt-py"><span class="std std-ref">2D Convolution Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">convolution_opt.py</span></code>)</p></td>
-<td><p>00:02.840</p></td>
+<td><p>00:02.841</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>00:00.509</p></td>
+<td><p>00:00.525</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 a4b249deb2..3c671629e6 100644
--- a/docs/topic/vta/tutorials/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-topic-vta-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:00.830</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.865</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 81%" />
@@ -369,11 +369,11 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="matrix_multiply.html#sphx-glr-topic-vta-tutorials-matrix-multiply-py"><span class="std std-ref">Simple Matrix Multiply</span></a> (<code class="docutils literal notranslate"><span class="pre">matrix_multiply.py</span></code>)</p></td>
-<td><p>00:00.428</p></td>
+<td><p>00:00.458</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>00:00.402</p></td>
+<td><p>00:00.408</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 0a8ac9b7b6..0b6490d7f6 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -589,7 +589,7 @@ class Module:
 <span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 96.324 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.855 ms
 </pre></div>
 </div>
 </div>
@@ -651,6 +651,7 @@ 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:
+.T
 </pre></div>
 </div>
 </div>
@@ -661,7 +662,7 @@ 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  23.755 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  30.168 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 99e24b9949..f54a062401 100644
--- a/docs/tutorial/autotvm_matmul_x86.html
+++ b/docs/tutorial/autotvm_matmul_x86.html
@@ -700,16 +700,16 @@ reduce variance, we take 5 measurements and average them.</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>waiting for device...
 device available
 Get devices for measurement successfully!
-No: 1   GFLOPS: 0.51/0.51       result: MeasureResult(costs=(0.5269518320000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.692252397537231, timestamp=1711065709.3788633)  [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 1])],None,8
-No: 2   GFLOPS: 11.03/11.03     result: MeasureResult(costs=(0.024337343,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6373858451843262, timestamp=1711065710.0333495)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 512])],None,98
-No: 3   GFLOPS: 11.10/11.10     result: MeasureResult(costs=(0.024173451399999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6604716777801514, timestamp=1711065710.6882815)       [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 512])],None,92
-No: 4   GFLOPS: 1.02/11.10      result: MeasureResult(costs=(0.2629478142,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.468295335769653, timestamp=1711065715.1555805)        [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 2])],None,17
-No: 5   GFLOPS: 12.66/12.66     result: MeasureResult(costs=(0.0212041442,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7393012046813965, timestamp=1711065716.015679)        [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 128])],None,76
-No: 6   GFLOPS: 10.26/12.66     result: MeasureResult(costs=(0.026170529199999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7235763072967529, timestamp=1711065716.7051806)       [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 256])],None,85
-No: 7   GFLOPS: 14.43/14.43     result: MeasureResult(costs=(0.018605470199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6698920726776123, timestamp=1711065717.2734463)       [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 64])],None,65
-No: 8   GFLOPS: 11.58/14.43     result: MeasureResult(costs=(0.0231715888,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6676692962646484, timestamp=1711065717.900361)        [(&#39;tile_y&#39;, [-1, 32]), (&#39;tile_x&#39;, [-1, 32])],None,55
-No: 9   GFLOPS: 8.96/14.43      result: MeasureResult(costs=(0.029945533400000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7157635688781738, timestamp=1711065718.7272587)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 256])],None,89
-No: 10  GFLOPS: 10.18/14.43     result: MeasureResult(costs=(0.026375128000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6464846134185791, timestamp=1711065719.408825)        [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 32])],None,51
+No: 1   GFLOPS: 11.16/11.16     result: MeasureResult(costs=(0.024049037000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6483204364776611, timestamp=1711072683.8066053)       [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 32])],None,51
+No: 2   GFLOPS: 12.31/12.31     result: MeasureResult(costs=(0.0218061658,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6341552734375, timestamp=1711072684.4172807)  [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 16])],None,44
+No: 3   GFLOPS: 14.35/14.35     result: MeasureResult(costs=(0.0187052288,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5547218322753906, timestamp=1711072684.9756188)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 32])],None,54
+No: 4   GFLOPS: 13.41/14.35     result: MeasureResult(costs=(0.0200239236,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6597609519958496, timestamp=1711072685.562627)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 128])],None,78
+No: 5   GFLOPS: 9.08/14.35      result: MeasureResult(costs=(0.029574929,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7436954975128174, timestamp=1711072686.4326437)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 16])],None,48
+No: 6   GFLOPS: 3.43/14.35      result: MeasureResult(costs=(0.0783313672,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5064270496368408, timestamp=1711072687.938928)        [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 8])],None,39
+No: 7   GFLOPS: 12.51/14.35     result: MeasureResult(costs=(0.021450718,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6385042667388916, timestamp=1711072688.5480745)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 512])],None,94
+No: 8   GFLOPS: 0.53/14.35      result: MeasureResult(costs=(0.5098017348,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.41041374206543, timestamp=1711072696.9630833) [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 1])],None,8
+No: 9   GFLOPS: 14.10/14.35     result: MeasureResult(costs=(0.0190320862,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5631680488586426, timestamp=1711072697.6356864)       [(&#39;tile_y&#39;, [-1, 128]), (&#39;tile_x&#39;, [-1, 64])],None,67
+No: 10  GFLOPS: 11.47/14.35     result: MeasureResult(costs=(0.0234004802,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6010069847106934, timestamp=1711072698.2774506)       [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 512])],None,98
 </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 2eb7c14c43..24309fabc0 100644
--- a/docs/tutorial/autotvm_relay_x86.html
+++ b/docs/tutorial/autotvm_relay_x86.html
@@ -578,7 +578,7 @@ standard deviation.</p>
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">unoptimized</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 493.9675870900828, &#39;median&#39;: 493.99393949988735, &#39;std&#39;: 2.865702503966742}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 474.7189670800014, &#39;median&#39;: 474.41203834999897, &#39;std&#39;: 2.1772653554174584}
 </pre></div>
 </div>
 </div>
@@ -767,179 +767,179 @@ depending on the specifics of the model and the target platform.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  1/25]  Current/Best:   22.96/  22.96 GFLOPS | Progress: (4/20) | 10.45 s
-[Task  1/25]  Current/Best:    6.95/  23.82 GFLOPS | Progress: (8/20) | 13.26 s
-[Task  1/25]  Current/Best:   13.59/  23.82 GFLOPS | Progress: (12/20) | 16.66 s
-[Task  1/25]  Current/Best:   13.88/  23.82 GFLOPS | Progress: (16/20) | 19.35 s
-[Task  1/25]  Current/Best:    8.55/  23.82 GFLOPS | Progress: (20/20) | 21.83 s Done.
+[Task  1/25]  Current/Best:   21.59/  22.54 GFLOPS | Progress: (4/20) | 8.76 s
+[Task  1/25]  Current/Best:    7.33/  22.54 GFLOPS | Progress: (8/20) | 11.48 s
+[Task  1/25]  Current/Best:   14.73/  22.54 GFLOPS | Progress: (12/20) | 14.57 s
+[Task  1/25]  Current/Best:    7.25/  22.54 GFLOPS | Progress: (16/20) | 17.32 s
+[Task  1/25]  Current/Best:   19.97/  22.54 GFLOPS | Progress: (20/20) | 20.74 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   16.80/  17.16 GFLOPS | Progress: (4/20) | 4.10 s
-[Task  2/25]  Current/Best:   11.20/  20.21 GFLOPS | Progress: (8/20) | 5.79 s
-[Task  2/25]  Current/Best:    3.43/  20.21 GFLOPS | Progress: (12/20) | 7.46 s
-[Task  2/25]  Current/Best:   15.62/  20.21 GFLOPS | Progress: (16/20) | 9.00 s
-[Task  2/25]  Current/Best:   16.61/  20.21 GFLOPS | Progress: (20/20) | 10.48 s Done.
+[Task  2/25]  Current/Best:   13.45/  16.31 GFLOPS | Progress: (4/20) | 4.17 s
+[Task  2/25]  Current/Best:   18.45/  18.45 GFLOPS | Progress: (8/20) | 6.02 s
+[Task  2/25]  Current/Best:    2.22/  18.45 GFLOPS | Progress: (12/20) | 7.73 s
+[Task  2/25]  Current/Best:   17.61/  20.19 GFLOPS | Progress: (16/20) | 9.69 s
+[Task  2/25]  Current/Best:    6.45/  20.19 GFLOPS | Progress: (20/20) | 11.10 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   21.32/  22.67 GFLOPS | Progress: (4/20) | 4.79 s
-[Task  3/25]  Current/Best:   16.21/  22.67 GFLOPS | Progress: (8/20) | 7.62 s
-[Task  3/25]  Current/Best:   16.78/  22.99 GFLOPS | Progress: (12/20) | 9.59 s
-[Task  3/25]  Current/Best:   12.82/  22.99 GFLOPS | Progress: (16/20) | 11.97 s
-[Task  3/25]  Current/Best:   14.78/  22.99 GFLOPS | Progress: (20/20) | 15.71 s Done.
+[Task  3/25]  Current/Best:   21.68/  21.68 GFLOPS | Progress: (4/20) | 4.74 s
+[Task  3/25]  Current/Best:   20.83/  21.68 GFLOPS | Progress: (8/20) | 7.22 s
+[Task  3/25]  Current/Best:    8.41/  21.70 GFLOPS | Progress: (12/20) | 9.50 s
+[Task  3/25]  Current/Best:    6.59/  23.30 GFLOPS | Progress: (16/20) | 11.61 s
+[Task  3/25]  Current/Best:    6.55/  23.30 GFLOPS | Progress: (20/20) | 14.04 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:   12.90/  21.76 GFLOPS | Progress: (4/20) | 5.79 s
-[Task  4/25]  Current/Best:   12.00/  21.76 GFLOPS | Progress: (8/20) | 7.93 s
-[Task  4/25]  Current/Best:    5.10/  21.76 GFLOPS | Progress: (12/20) | 10.57 s
-[Task  4/25]  Current/Best:   15.65/  21.76 GFLOPS | Progress: (16/20) | 14.82 s
-[Task  4/25]  Current/Best:   13.37/  21.76 GFLOPS | Progress: (20/20) | 16.78 s Done.
+[Task  4/25]  Current/Best:   14.67/  17.68 GFLOPS | Progress: (4/20) | 4.42 s
+[Task  4/25]  Current/Best:    8.60/  17.68 GFLOPS | Progress: (8/20) | 6.58 s
+[Task  4/25]  Current/Best:    6.05/  21.32 GFLOPS | Progress: (12/20) | 12.66 s
+[Task  4/25]  Current/Best:   14.11/  21.32 GFLOPS | Progress: (16/20) | 17.01 s
+[Task  4/25]  Current/Best:   13.99/  21.32 GFLOPS | Progress: (20/20) | 19.08 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:   14.81/  14.86 GFLOPS | Progress: (4/20) | 4.62 s
-[Task  5/25]  Current/Best:   12.95/  14.86 GFLOPS | Progress: (8/20) | 7.03 s
-[Task  5/25]  Current/Best:   15.41/  15.41 GFLOPS | Progress: (12/20) | 9.33 s
-[Task  5/25]  Current/Best:   13.47/  15.41 GFLOPS | Progress: (16/20) | 11.77 s
-[Task  5/25]  Current/Best:   14.10/  15.89 GFLOPS | Progress: (20/20) | 14.06 s Done.
+[Task  5/25]  Current/Best:    4.50/  15.44 GFLOPS | Progress: (4/20) | 4.63 s
+[Task  5/25]  Current/Best:    9.28/  17.88 GFLOPS | Progress: (8/20) | 6.47 s
+[Task  5/25]  Current/Best:   20.59/  20.59 GFLOPS | Progress: (12/20) | 8.52 s
+[Task  5/25]  Current/Best:    6.31/  20.59 GFLOPS | Progress: (16/20) | 10.90 s
+[Task  5/25]  Current/Best:    9.45/  20.59 GFLOPS | Progress: (20/20) | 12.97 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:   14.05/  20.46 GFLOPS | Progress: (4/20) | 4.66 s
-[Task  6/25]  Current/Best:    4.67/  20.46 GFLOPS | Progress: (8/20) | 8.74 s
-[Task  6/25]  Current/Best:    4.96/  20.46 GFLOPS | Progress: (12/20) | 11.68 s
-[Task  6/25]  Current/Best:   18.83/  20.78 GFLOPS | Progress: (16/20) | 13.85 s
-[Task  6/25]  Current/Best:   14.67/  20.78 GFLOPS | Progress: (20/20) | 16.82 s Done.
+[Task  6/25]  Current/Best:    7.70/  16.69 GFLOPS | Progress: (4/20) | 5.33 s
+[Task  6/25]  Current/Best:    7.22/  20.63 GFLOPS | Progress: (8/20) | 7.52 s
+[Task  6/25]  Current/Best:   10.41/  23.47 GFLOPS | Progress: (12/20) | 10.43 s
+[Task  6/25]  Current/Best:   18.19/  23.47 GFLOPS | Progress: (16/20) | 14.52 s
+[Task  6/25]  Current/Best:    4.67/  23.47 GFLOPS | Progress: (20/20) | 17.37 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:   11.48/  20.50 GFLOPS | Progress: (4/20) | 5.29 s
-[Task  7/25]  Current/Best:    5.64/  21.09 GFLOPS | Progress: (8/20) | 7.94 s
-[Task  7/25]  Current/Best:    8.53/  21.09 GFLOPS | Progress: (12/20) | 11.30 s
-[Task  7/25]  Current/Best:   18.27/  21.09 GFLOPS | Progress: (16/20) | 13.68 s
-[Task  7/25]  Current/Best:   10.67/  21.09 GFLOPS | Progress: (20/20) | 17.62 s Done.
+[Task  7/25]  Current/Best:   23.29/  23.29 GFLOPS | Progress: (4/20) | 4.89 s
+[Task  7/25]  Current/Best:   16.88/  23.29 GFLOPS | Progress: (8/20) | 7.35 s
+[Task  7/25]  Current/Best:   19.55/  23.29 GFLOPS | Progress: (12/20) | 10.56 s
+[Task  7/25]  Current/Best:   18.94/  24.07 GFLOPS | Progress: (16/20) | 12.75 s
+[Task  7/25]  Current/Best:    8.56/  24.07 GFLOPS | Progress: (20/20) | 15.96 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:    6.54/  12.84 GFLOPS | Progress: (4/20) | 6.08 s
-[Task  8/25]  Current/Best:   15.86/  15.86 GFLOPS | Progress: (8/20) | 17.05 s
-[Task  8/25]  Current/Best:    6.30/  15.86 GFLOPS | Progress: (12/20) | 19.89 s
-[Task  8/25]  Current/Best:   11.39/  15.86 GFLOPS | Progress: (16/20) | 23.75 s
-[Task  8/25]  Current/Best:    3.52/  18.56 GFLOPS | Progress: (20/20) | 26.72 s Done.
+[Task  8/25]  Current/Best:    7.40/  16.56 GFLOPS | Progress: (4/20) | 5.02 s
+[Task  8/25]  Current/Best:   16.24/  16.56 GFLOPS | Progress: (8/20) | 8.13 s
+[Task  8/25]  Current/Best:    6.70/  22.61 GFLOPS | Progress: (12/20) | 12.49 s
+[Task  8/25]  Current/Best:   18.34/  22.61 GFLOPS | Progress: (16/20) | 18.38 s
+[Task  8/25]  Current/Best:    4.95/  22.61 GFLOPS | Progress: (20/20) | 22.77 s Done.
 
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:    9.78/  19.16 GFLOPS | Progress: (4/20) | 5.82 s
-[Task  9/25]  Current/Best:   20.27/  20.27 GFLOPS | Progress: (8/20) | 11.57 s
-[Task  9/25]  Current/Best:    8.14/  20.27 GFLOPS | Progress: (12/20) | 18.86 s
-[Task  9/25]  Current/Best:   12.62/  20.27 GFLOPS | Progress: (16/20) | 21.71 s
-[Task  9/25]  Current/Best:   13.38/  22.22 GFLOPS | Progress: (20/20) | 23.49 s Done.
+[Task  9/25]  Current/Best:   11.36/  20.62 GFLOPS | Progress: (4/20) | 4.90 s
+[Task  9/25]  Current/Best:   14.90/  20.62 GFLOPS | Progress: (8/20) | 7.33 s
+[Task  9/25]  Current/Best:   12.20/  20.62 GFLOPS | Progress: (12/20) | 9.32 s
+[Task  9/25]  Current/Best:    9.85/  20.79 GFLOPS | Progress: (16/20) | 12.30 s
+[Task  9/25]  Current/Best:    6.10/  20.79 GFLOPS | Progress: (20/20) | 15.10 s Done.
 
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   17.31/  18.24 GFLOPS | Progress: (4/20) | 4.32 s
-[Task 10/25]  Current/Best:    9.54/  18.24 GFLOPS | Progress: (8/20) | 7.01 s
-[Task 10/25]  Current/Best:   17.42/  18.24 GFLOPS | Progress: (12/20) | 8.65 s
-[Task 10/25]  Current/Best:   12.51/  18.24 GFLOPS | Progress: (16/20) | 10.49 s
-[Task 10/25]  Current/Best:   11.99/  18.37 GFLOPS | Progress: (20/20) | 12.39 s Done.
+[Task 10/25]  Current/Best:   11.33/  16.49 GFLOPS | Progress: (4/20) | 5.60 s
+[Task 10/25]  Current/Best:   16.53/  16.53 GFLOPS | Progress: (8/20) | 7.83 s
+[Task 10/25]  Current/Best:   13.57/  18.93 GFLOPS | Progress: (12/20) | 9.90 s
+[Task 10/25]  Current/Best:   18.28/  18.93 GFLOPS | Progress: (16/20) | 11.89 s
+[Task 10/25]  Current/Best:    1.67/  18.93 GFLOPS | Progress: (20/20) | 15.68 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:    6.85/  20.03 GFLOPS | Progress: (4/20) | 5.32 s
-[Task 11/25]  Current/Best:   20.56/  21.05 GFLOPS | Progress: (8/20) | 7.65 s
-[Task 11/25]  Current/Best:    6.30/  21.05 GFLOPS | Progress: (12/20) | 10.15 s
-[Task 11/25]  Current/Best:   12.24/  21.28 GFLOPS | Progress: (16/20) | 12.58 s
-[Task 11/25]  Current/Best:   18.84/  21.28 GFLOPS | Progress: (20/20) | 14.46 s Done.
+[Task 11/25]  Current/Best:   15.02/  21.48 GFLOPS | Progress: (4/20) | 4.88 s
+[Task 11/25]  Current/Best:   14.60/  21.51 GFLOPS | Progress: (8/20) | 7.45 s
+[Task 11/25]  Current/Best:    7.03/  21.51 GFLOPS | Progress: (12/20) | 9.67 s
+[Task 11/25]  Current/Best:   14.51/  21.51 GFLOPS | Progress: (16/20) | 11.88 s
+[Task 11/25]  Current/Best:   12.74/  23.43 GFLOPS | Progress: (20/20) | 14.33 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:   12.59/  17.99 GFLOPS | Progress: (4/20) | 6.10 s
-[Task 12/25]  Current/Best:   15.49/  17.99 GFLOPS | Progress: (8/20) | 10.22 s
-[Task 12/25]  Current/Best:   13.51/  17.99 GFLOPS | Progress: (12/20) | 12.71 s
-[Task 12/25]  Current/Best:    8.46/  17.99 GFLOPS | Progress: (16/20) | 17.86 s
-[Task 12/25]  Current/Best:   14.71/  17.99 GFLOPS | Progress: (20/20) | 21.55 s Done.
+[Task 12/25]  Current/Best:    9.76/  23.26 GFLOPS | Progress: (4/20) | 7.50 s
+[Task 12/25]  Current/Best:   15.77/  23.26 GFLOPS | Progress: (8/20) | 10.40 s
+[Task 12/25]  Current/Best:   16.09/  23.26 GFLOPS | Progress: (12/20) | 13.78 s
+[Task 12/25]  Current/Best:    3.44/  23.26 GFLOPS | Progress: (16/20) | 16.39 s
+[Task 12/25]  Current/Best:   13.21/  23.26 GFLOPS | Progress: (20/20) | 19.81 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   20.49/  20.49 GFLOPS | Progress: (4/20) | 5.33 s
-[Task 13/25]  Current/Best:    8.37/  20.49 GFLOPS | Progress: (8/20) | 7.83 s
-[Task 13/25]  Current/Best:    7.31/  20.49 GFLOPS | Progress: (12/20) | 11.20 s
-[Task 13/25]  Current/Best:    3.10/  20.49 GFLOPS | Progress: (16/20) | 14.65 s
-[Task 13/25]  Current/Best:    6.78/  20.49 GFLOPS | Progress: (20/20) | 17.00 s Done.
+[Task 13/25]  Current/Best:   20.62/  21.33 GFLOPS | Progress: (4/20) | 4.78 s
+[Task 13/25]  Current/Best:    9.36/  21.33 GFLOPS | Progress: (8/20) | 7.32 s
+[Task 13/25]  Current/Best:   20.27/  21.33 GFLOPS | Progress: (12/20) | 9.87 s
+[Task 13/25]  Current/Best:   22.83/  22.83 GFLOPS | Progress: (16/20) | 14.20 s
+[Task 13/25]  Current/Best:   12.47/  22.83 GFLOPS | Progress: (20/20) | 17.26 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:    9.95/  13.22 GFLOPS | Progress: (4/20) | 14.69 s
-[Task 14/25]  Current/Best:   18.33/  18.33 GFLOPS | Progress: (8/20) | 26.11 s
-[Task 14/25]  Current/Best:   13.80/  18.33 GFLOPS | Progress: (12/20) | 29.47 s
-[Task 14/25]  Current/Best:    8.53/  18.33 GFLOPS | Progress: (16/20) | 33.29 s
-[Task 14/25]  Current/Best:   19.27/  19.27 GFLOPS | Progress: (20/20) | 39.32 s
+[Task 14/25]  Current/Best:   14.57/  15.44 GFLOPS | Progress: (4/20) | 6.31 s
+[Task 14/25]  Current/Best:   14.58/  17.44 GFLOPS | Progress: (8/20) | 17.66 s
+[Task 14/25]  Current/Best:    4.12/  17.44 GFLOPS | Progress: (12/20) | 23.66 s
+[Task 14/25]  Current/Best:   15.54/  19.48 GFLOPS | Progress: (16/20) | 28.57 s
+[Task 14/25]  Current/Best:   17.58/  19.48 GFLOPS | Progress: (20/20) | 34.43 s
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:   12.31/  12.31 GFLOPS | Progress: (4/20) | 7.02 s
-[Task 15/25]  Current/Best:    9.85/  19.22 GFLOPS | Progress: (8/20) | 9.82 s
-[Task 15/25]  Current/Best:   12.68/  23.19 GFLOPS | Progress: (12/20) | 12.59 s
-[Task 15/25]  Current/Best:   23.05/  23.19 GFLOPS | Progress: (16/20) | 21.20 s
-[Task 15/25]  Current/Best:    5.52/  23.19 GFLOPS | Progress: (20/20) | 32.38 s Done.
-
+[Task 15/25]  Current/Best:   10.45/  21.63 GFLOPS | Progress: (4/20) | 6.36 s
+[Task 15/25]  Current/Best:   19.69/  21.63 GFLOPS | Progress: (8/20) | 14.97 s
+[Task 15/25]  Current/Best:   19.22/  21.63 GFLOPS | Progress: (12/20) | 16.81 s
+[Task 15/25]  Current/Best:   20.15/  21.63 GFLOPS | Progress: (16/20) | 27.90 s
+[Task 15/25]  Current/Best:   14.25/  21.63 GFLOPS | Progress: (20/20) | 31.81 s
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   18.00/  18.00 GFLOPS | Progress: (4/20) | 5.65 s
-[Task 16/25]  Current/Best:   16.48/  18.00 GFLOPS | Progress: (8/20) | 7.72 s
-[Task 16/25]  Current/Best:   18.30/  18.30 GFLOPS | Progress: (12/20) | 9.49 s
-[Task 16/25]  Current/Best:   12.17/  18.30 GFLOPS | Progress: (16/20) | 12.63 s
-[Task 16/25]  Current/Best:   12.33/  20.98 GFLOPS | Progress: (20/20) | 17.03 s Done.
+[Task 16/25]  Current/Best:   15.08/  15.08 GFLOPS | Progress: (4/20) | 5.60 s
+[Task 16/25]  Current/Best:    9.63/  18.25 GFLOPS | Progress: (8/20) | 8.04 s
+[Task 16/25]  Current/Best:   15.28/  18.25 GFLOPS | Progress: (12/20) | 10.35 s
+[Task 16/25]  Current/Best:   18.68/  18.68 GFLOPS | Progress: (16/20) | 12.02 s
+[Task 16/25]  Current/Best:   19.58/  19.58 GFLOPS | Progress: (20/20) | 15.10 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:   21.48/  21.48 GFLOPS | Progress: (4/20) | 5.01 s
-[Task 17/25]  Current/Best:   10.70/  21.48 GFLOPS | Progress: (8/20) | 8.56 s
-[Task 17/25]  Current/Best:    6.21/  21.48 GFLOPS | Progress: (12/20) | 11.74 s
-[Task 17/25]  Current/Best:   11.83/  21.48 GFLOPS | Progress: (16/20) | 15.03 s
-[Task 17/25]  Current/Best:   11.71/  21.48 GFLOPS | Progress: (20/20) | 18.57 s Done.
+[Task 17/25]  Current/Best:    8.02/  19.81 GFLOPS | Progress: (4/20) | 5.75 s Done.
+ Done.
+
+[Task 17/25]  Current/Best:    5.54/  21.67 GFLOPS | Progress: (8/20) | 8.80 s
+[Task 17/25]  Current/Best:    7.87/  21.67 GFLOPS | Progress: (12/20) | 12.57 s
+[Task 17/25]  Current/Best:   18.96/  21.67 GFLOPS | Progress: (16/20) | 15.06 s
+[Task 17/25]  Current/Best:    9.50/  21.67 GFLOPS | Progress: (20/20) | 18.98 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:    6.52/  19.69 GFLOPS | Progress: (4/20) | 4.90 s
-[Task 18/25]  Current/Best:   14.25/  19.69 GFLOPS | Progress: (8/20) | 9.36 s
-[Task 18/25]  Current/Best:   18.28/  19.69 GFLOPS | Progress: (12/20) | 12.01 s
-[Task 18/25]  Current/Best:   16.13/  19.69 GFLOPS | Progress: (16/20) | 15.59 s
-[Task 18/25]  Current/Best:   19.84/  19.84 GFLOPS | Progress: (20/20) | 17.59 s Done.
+[Task 18/25]  Current/Best:   10.34/  18.79 GFLOPS | Progress: (4/20) | 6.92 s
+[Task 18/25]  Current/Best:    3.15/  18.79 GFLOPS | Progress: (8/20) | 10.77 s
+[Task 18/25]  Current/Best:   21.51/  21.51 GFLOPS | Progress: (12/20) | 13.57 s
+[Task 18/25]  Current/Best:    3.21/  21.51 GFLOPS | Progress: (16/20) | 16.69 s
+[Task 18/25]  Current/Best:   23.02/  23.02 GFLOPS | Progress: (20/20) | 18.95 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    4.78/  18.27 GFLOPS | Progress: (4/20) | 9.20 s
-[Task 19/25]  Current/Best:    2.69/  18.27 GFLOPS | Progress: (8/20) | 12.66 s
-[Task 19/25]  Current/Best:   11.83/  20.42 GFLOPS | Progress: (12/20) | 15.77 s
-[Task 19/25]  Current/Best:    4.88/  20.42 GFLOPS | Progress: (16/20) | 22.04 s
-[Task 19/25]  Current/Best:   16.53/  20.57 GFLOPS | Progress: (20/20) | 25.39 s Done.
+[Task 19/25]  Current/Best:   20.73/  20.73 GFLOPS | Progress: (4/20) | 5.17 s
+[Task 19/25]  Current/Best:    5.06/  22.42 GFLOPS | Progress: (8/20) | 11.27 s
+[Task 19/25]  Current/Best:   17.59/  22.42 GFLOPS | Progress: (12/20) | 14.67 s
+[Task 19/25]  Current/Best:    1.60/  22.42 GFLOPS | Progress: (16/20) | 19.36 s
+[Task 19/25]  Current/Best:    4.90/  22.42 GFLOPS | Progress: (20/20) | 23.79 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:    4.91/   9.84 GFLOPS | Progress: (4/20) | 15.80 s
-[Task 20/25]  Current/Best:   10.23/  16.11 GFLOPS | Progress: (8/20) | 22.59 s
-[Task 20/25]  Current/Best:   14.46/  19.41 GFLOPS | Progress: (12/20) | 24.65 s
-[Task 20/25]  Current/Best:   14.43/  19.41 GFLOPS | Progress: (16/20) | 28.84 s
-[Task 20/25]  Current/Best:   10.34/  19.41 GFLOPS | Progress: (20/20) | 32.31 s
-[Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
- Done.
+[Task 20/25]  Current/Best:   18.94/  19.07 GFLOPS | Progress: (4/20) | 4.97 s
+[Task 20/25]  Current/Best:   16.11/  20.09 GFLOPS | Progress: (8/20) | 14.68 s
+[Task 20/25]  Current/Best:   10.78/  20.09 GFLOPS | Progress: (12/20) | 18.17 s
+[Task 20/25]  Current/Best:   20.42/  20.42 GFLOPS | Progress: (16/20) | 27.08 s
+[Task 20/25]  Current/Best:   19.10/  20.42 GFLOPS | Progress: (20/20) | 29.22 s Done.
+
+[Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 21/25]  Current/Best:    8.84/  11.28 GFLOPS | Progress: (4/20) | 10.01 s
+[Task 21/25]  Current/Best:   19.22/  19.22 GFLOPS | Progress: (8/20) | 12.80 s
+[Task 21/25]  Current/Best:    2.70/  21.40 GFLOPS | Progress: (12/20) | 14.80 s
+[Task 21/25]  Current/Best:    5.27/  21.40 GFLOPS | Progress: (16/20) | 16.48 s
+[Task 21/25]  Current/Best:   23.49/  23.49 GFLOPS | Progress: (20/20) | 19.59 s Done.
 
-[Task 21/25]  Current/Best:   22.47/  22.47 GFLOPS | Progress: (4/20) | 11.77 s
-[Task 21/25]  Current/Best:    5.15/  22.47 GFLOPS | Progress: (8/20) | 17.55 s
-[Task 21/25]  Current/Best:   17.39/  22.47 GFLOPS | Progress: (12/20) | 22.95 s
-[Task 21/25]  Current/Best:   11.91/  22.47 GFLOPS | Progress: (16/20) | 34.21 s
-[Task 21/25]  Current/Best:    2.71/  22.47 GFLOPS | Progress: (20/20) | 37.52 s
 [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:   20.59/  20.59 GFLOPS | Progress: (4/20) | 5.12 s
-[Task 22/25]  Current/Best:   10.84/  20.59 GFLOPS | Progress: (8/20) | 7.04 s
-[Task 22/25]  Current/Best:   16.00/  20.59 GFLOPS | Progress: (12/20) | 9.64 s
-[Task 22/25]  Current/Best:   18.05/  20.59 GFLOPS | Progress: (16/20) | 11.43 s
-[Task 22/25]  Current/Best:    9.72/  20.59 GFLOPS | Progress: (20/20) | 13.99 s Done.
+[Task 22/25]  Current/Best:    6.89/  17.92 GFLOPS | Progress: (4/20) | 4.68 s
+[Task 22/25]  Current/Best:    6.76/  20.62 GFLOPS | Progress: (8/20) | 6.69 s
+[Task 22/25]  Current/Best:   16.73/  20.93 GFLOPS | Progress: (12/20) | 8.39 s
+[Task 22/25]  Current/Best:    3.73/  21.82 GFLOPS | Progress: (16/20) | 10.26 s
+[Task 22/25]  Current/Best:   20.22/  21.82 GFLOPS | Progress: (20/20) | 12.94 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   21.51/  21.51 GFLOPS | Progress: (4/20) | 6.07 s
-[Task 23/25]  Current/Best:   17.78/  21.51 GFLOPS | Progress: (8/20) | 9.42 s
-[Task 23/25]  Current/Best:   22.10/  22.10 GFLOPS | Progress: (12/20) | 13.30 s
-[Task 23/25]  Current/Best:   19.53/  22.10 GFLOPS | Progress: (16/20) | 18.23 s
-[Task 23/25]  Current/Best:   18.16/  22.10 GFLOPS | Progress: (20/20) | 21.29 s Done.
+[Task 23/25]  Current/Best:   22.69/  23.32 GFLOPS | Progress: (4/20) | 6.28 s
+[Task 23/25]  Current/Best:   12.78/  23.32 GFLOPS | Progress: (8/20) | 8.86 s
+[Task 23/25]  Current/Best:   12.53/  23.32 GFLOPS | Progress: (12/20) | 13.55 s
+[Task 23/25]  Current/Best:   22.75/  23.32 GFLOPS | Progress: (16/20) | 16.57 s
+[Task 23/25]  Current/Best:    2.78/  23.32 GFLOPS | Progress: (20/20) | 23.30 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    1.00/   9.41 GFLOPS | Progress: (4/20) | 13.73 s
-[Task 24/25]  Current/Best:    8.26/   9.41 GFLOPS | Progress: (8/20) | 24.76 s
-[Task 24/25]  Current/Best:    8.19/   9.41 GFLOPS | Progress: (12/20) | 36.65 s
-[Task 24/25]  Current/Best:    9.10/   9.41 GFLOPS | Progress: (16/20) | 39.45 s
-[Task 24/25]  Current/Best:    1.68/  10.11 GFLOPS | Progress: (20/20) | 42.66 s
+[Task 24/25]  Current/Best:    3.77/   8.06 GFLOPS | Progress: (4/20) | 13.67 s
+[Task 24/25]  Current/Best:    9.45/   9.45 GFLOPS | Progress: (8/20) | 25.82 s
+[Task 24/25]  Current/Best:    4.51/   9.45 GFLOPS | Progress: (12/20) | 28.51 s
+[Task 24/25]  Current/Best:    0.64/   9.45 GFLOPS | Progress: (16/20) | 39.27 s
+[Task 24/25]  Current/Best:    3.60/   9.45 GFLOPS | Progress: (20/20) | 52.00 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    8.20/   8.89 GFLOPS | Progress: (4/20) | 5.44 s
-[Task 25/25]  Current/Best:    2.90/   8.89 GFLOPS | Progress: (8/20) | 7.54 s
-[Task 25/25]  Current/Best:    6.11/   9.36 GFLOPS | Progress: (12/20) | 18.52 s
-[Task 25/25]  Current/Best:    3.01/   9.36 GFLOPS | Progress: (16/20) | 28.90 s Done.
- Done.
+[Task 25/25]  Current/Best:    1.59/   8.32 GFLOPS | Progress: (4/20) | 5.64 s
+[Task 25/25]  Current/Best:    1.59/   8.32 GFLOPS | Progress: (8/20) | 12.08 s
+[Task 25/25]  Current/Best:    5.63/   8.32 GFLOPS | Progress: (12/20) | 13.81 s
+[Task 25/25]  Current/Best:    8.90/   8.90 GFLOPS | Progress: (16/20) | 24.48 s Done.
 
-[Task 25/25]  Current/Best:    2.84/   9.36 GFLOPS | Progress: (20/20) | 31.09 s Done.
+[Task 25/25]  Current/Best:    2.74/   8.90 GFLOPS | Progress: (20/20) | 31.03 s Done.
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -1000,8 +1000,8 @@ model using optimized operators to speed up our computations.</p>
     <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;class=&#39;</span><span class="si">%s</span><span class="s2">&#39; with probability=</span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621103
-class=&#39;n02123159 tiger cat&#39; with probability=0.356379
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class=&#39;n02123045 tabby, tabby cat&#39; with probability=0.621104
+class=&#39;n02123159 tiger cat&#39; with probability=0.356378
 class=&#39;n02124075 Egyptian cat&#39; with probability=0.019712
 class=&#39;n02129604 tiger, Panthera tigris&#39; with probability=0.001215
 class=&#39;n04040759 radiator&#39; with probability=0.000262
@@ -1038,8 +1038,8 @@ 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;: 401.55461667000054, &#39;median&#39;: 401.211847400009, &#39;std&#39;: 1.9748839676716876}
-unoptimized: {&#39;mean&#39;: 493.9675870900828, &#39;median&#39;: 493.99393949988735, &#39;std&#39;: 2.865702503966742}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 391.682902109992, &#39;median&#39;: 391.0201436999955, &#39;std&#39;: 1.7781416179717782}
+unoptimized: {&#39;mean&#39;: 474.7189670800014, &#39;median&#39;: 474.41203834999897, &#39;std&#39;: 2.1772653554174584}
 </pre></div>
 </div>
 </div>
@@ -1053,7 +1053,7 @@ 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  34.706 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes  57.739 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-autotvm-relay-x86-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/57a45d9bef1af358191e7d50043e652c/autotvm_relay_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">autotvm_relay_x86.py</span></code></a></p>
diff --git a/docs/tutorial/cross_compilation_and_rpc.html b/docs/tutorial/cross_compilation_and_rpc.html
index d883c23b52..509cd34097 100644
--- a/docs/tutorial/cross_compilation_and_rpc.html
+++ b/docs/tutorial/cross_compilation_and_rpc.html
@@ -558,7 +558,7 @@ device and returns the measured cost. Network overhead is excluded.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="si">%g</span><span class="s2"> secs/op&quot;</span> <span class="o">%</span> <span class="n">cost</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.271e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.239e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index a162d4c4e1..5d4d5985a9 100644
--- a/docs/tutorial/intro_topi.html
+++ b/docs/tutorial/intro_topi.html
@@ -528,7 +528,7 @@ class Module:
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/ir.html#tvm.ir.Array" title="tvm.ir.Array" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">sg</span><span class="o">.</span><span class="n">stages</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x1007fb80)), stage(b, placeholder(b, 0x14bcbc90)), 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, 0x8f35010)), stage(b, placeholder(b, 0x2345c660)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attrs [...]
 </pre></div>
 </div>
 <p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index 5d04e966bf..6e9bc471d6 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>17:08.716</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:33.574</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,35 +369,35 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:34.706</p></td>
+<td><p>12:57.739</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>01:23.755</p></td>
+<td><p>01:30.168</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>00:59.068</p></td>
+<td><p>00:57.664</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>00:44.244</p></td>
+<td><p>00:43.517</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>00:24.965</p></td>
+<td><p>00:21.250</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.906</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
+<td><p>00:02.125</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:00.877</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
+<td><p>00:00.905</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="cross_compilation_and_rpc.html#sphx-glr-tutorial-cross-compilation-and-rpc-py"><span class="std std-ref">Cross Compilation and RPC</span></a> (<code class="docutils literal notranslate"><span class="pre">cross_compilation_and_rpc.py</span></code>)</p></td>
-<td><p>00:00.194</p></td>
+<td><p>00:00.206</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index a3ace6ee3f..2068c891cd 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -570,7 +570,7 @@ helper function to run a profile of the TVM generated code.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000007
-naive: 0.000007
+naive: 0.000006
 </pre></div>
 </div>
 </div>
@@ -625,7 +625,7 @@ compile and run this new schedule with the parallel operation applied:</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;parallel&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.h [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000006
 </pre></div>
 </div>
 </div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000061
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -701,10 +701,10 @@ class Module:
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator                  Timing             Performance
-   numpy    6.984140018175822e-06                    1.0
-   naive    6.941400000000001e-06     0.9938804179090636
-parallel             1.66183e-05       2.379433968498889
-  vector             6.11476e-05       8.755208206145195
+   numpy    6.7395100018075025e-06                   1.0
+   naive              5.8215e-06      0.8637868329357332
+parallel              6.0766e-06      0.9016382494232202
+  vector             3.80643e-05       5.647932860073113
 </pre></div>
 </div>
 <div class="admonition-code-specialization admonition">
@@ -1020,7 +1020,7 @@ matrix multiplication.</p>
 <span class="n">answer</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">numpy</span><span class="p">(),</span> <span class="n">b</span><span class="o">.</span><span class="n">numpy</span><span class="p">())</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018363
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017867
 </pre></div>
 </div>
 <p>Now we write a basic matrix multiplication using TVM TE and verify that it
@@ -1061,7 +1061,7 @@ optimizations.</p>
 <span class="n">evaluate_operation</span><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="p">[</span><a href="../reference/api/python/te.html#tvm.te.Tensor" title="tvm.te.Tensor" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.306721
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.211706
 </pre></div>
 </div>
 <p>Let’s take a look at the intermediate representation of the operator and
@@ -1125,7 +1125,7 @@ schedule.</p>
 <span class="n">evaluate_operation</span><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="p">[</span><a href="../reference/api/python/te.html#tvm.te.Tensor" title="tvm.te.Tensor" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.301650
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.303858
 </pre></div>
 </div>
 <p>By reordering the computation to take advantage of caching, you should see a
@@ -1174,7 +1174,7 @@ already cache friendly from our previous optimizations.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.280249
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.292319
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1223,7 +1223,7 @@ more cache friendly.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.118726
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.112394
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1293,7 +1293,7 @@ optimized schedule.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.107194
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.101950
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1359,7 +1359,7 @@ to `C</cite> when all the block results are ready.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.111094
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.100941
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1416,7 +1416,7 @@ of thread-level parallelization.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.131856
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.119471
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -1469,13 +1469,13 @@ working, we can compare the results.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>        Operator                  Timing             Performance
-            none            3.3067213001                     1.0
-        blocking     0.30165023199999996     0.09122336133706752
-   vectorization            0.2802492739     0.08475140432655297
-loop permutation            0.1187255629    0.035904314916533654
-   array packing            0.1071942432    0.032417078269268804
-   block caching            0.1110942117     0.03359648474053146
- parallelization            0.1318559812     0.03987514194075337
+            none      3.2117055921000004                     1.0
+        blocking            0.3038584922     0.09460969677526376
+   vectorization     0.29231880759999995     0.09101668855297065
+loop permutation            0.1123940087     0.03499511567201596
+   array packing            0.1019499523    0.031743243387803544
+   block caching            0.1009407516     0.03142901760618695
+ parallelization     0.11947066930000001     0.03719851209085548
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a